CN113344691A

CN113344691A - Tax declaration data processing method and device, electronic device and readable medium

Info

Publication number: CN113344691A
Application number: CN202110763327.4A
Authority: CN
Inventors: 陈皓; 李泽然; 吕建; 魏海健; 张玲; 赵鹏
Original assignee: Ele Cloud Information Technology Co ltd
Current assignee: Ele Cloud Information Technology Co ltd
Priority date: 2021-07-06
Filing date: 2021-07-06
Publication date: 2021-09-03

Abstract

The disclosure relates to a tax declaration data processing method, a tax declaration data processing device, an electronic device and a computer readable medium. The method comprises the following steps: acquiring tax declaration data and login information of an enterprise; determining the mapping relation and reporting information of the tax declaration data based on the enterprise identification of the enterprise; analyzing the tax declaration data based on the mapping relation to generate a declaration form; logging in a target website through the logging information and the declaration information based on a robot process automation technology; and carrying out tax declaration for the enterprise on the target website based on the declaration form. The tax declaration data processing method, the tax declaration data processing device, the electronic equipment and the computer readable medium can assist an enterprise to automatically perform tax declaration, reduce manpower, material resources and financial resources input by the enterprise in a tax declaration link, and improve the working efficiency and the working quality of the tax declaration.

Description

Tax declaration data processing method and device, electronic device and readable medium

Technical Field

The disclosure relates to the field of computer information processing, in particular to a tax declaration data processing method and device, an electronic device and a computer readable medium.

Background

With the change of the national tax declaration policy, the requirement of the tax bureau on the management of the value-added tax invoice is stricter and stricter. The tax declaration of enterprises in each month is various in tax types, and financial staff manually check invoices to ensure that the invoices are declared after meeting the compliance. Some tax declaring operations also need to log in tax systems in different areas respectively, so the process is very complicated and the service efficiency is low.

On the premise of not changing the existing IT system architecture of an enterprise, the problem to be solved urgently is how to accelerate the digital transformation of the enterprise, solve the tax declaration pain point caused by enterprise development and improve the processing efficiency of the system.

Therefore, a new tax return data processing method, apparatus, electronic device and computer readable medium are needed.

The above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure and therefore it may contain information that does not constitute prior art that is already known to a person of ordinary skill in the art.

Disclosure of Invention

In view of this, the present disclosure provides a tax declaration data processing method, apparatus, electronic device and computer readable medium, which can assist an enterprise to perform tax declaration automatically, reduce manpower, material resources and financial resources input by the enterprise in a tax declaration link, and improve the working efficiency and working quality of the tax declaration.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to an aspect of the disclosure, a tax declaration data processing method is provided, which includes: acquiring tax declaration data and login information of an enterprise; determining the mapping relation and reporting information of the tax declaration data based on the enterprise identification of the enterprise; analyzing the tax declaration data based on the mapping relation to generate a declaration form; logging in a target website through the logging information and the declaration information based on a robot process automation technology; and carrying out tax declaration for the enterprise on the target website based on the declaration form.

In an exemplary embodiment of the present disclosure, further comprising: determining an association between a plurality of businesses and a plurality of tax payment categories; and/or determining a mapping relationship between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories.

In an exemplary embodiment of the present disclosure, determining a mapping relationship between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories includes: obtaining cell attributes in the reporting forms corresponding to the tax payment categories; acquiring field attributes of interface fields corresponding to the plurality of enterprises; and determining the mapping relation between the cell attribute and the field attribute.

In an exemplary embodiment of the disclosure, acquiring tax declaration data and login information of an enterprise includes: and acquiring the tax declaration data and the login information through a preset interface field corresponding to the enterprise.

In an exemplary embodiment of the disclosure, determining the mapping relationship and the declaration information of the tax declaration data based on the enterprise identification of the enterprise includes: determining declaration information to be declared based on enterprise identification of the enterprise, wherein the declaration information comprises tax payment categories; determining a declaration form to be declared according to the tax payment category to be declared; and determining the mapping relation between the unit cells in the declaration form to be declared and the interface fields of the tax declaration data.

In an exemplary embodiment of the present disclosure, analyzing the tax declaration data based on the mapping relationship to generate a declaration form includes: filling the tax declaration data into the cells of the declaration form based on the mapping relation.

In an exemplary embodiment of the present disclosure, logging in a target website through the login information and the declaration information based on a robot process automation technology includes: acquiring tax payment categories in the declaration information based on a robot process automation technology; determining a target website based on the tax payment category; and logging in the target website through the login information.

In an exemplary embodiment of the present disclosure, logging in the target website through the login information includes: obtaining a verification code through the login information to log in the target website; and/or obtaining a short message verification code through the login information to log in the target website; and/or performing e-commerce authentication through the login information to log in the target website.

In an exemplary embodiment of the disclosure, performing tax declaration for the enterprise on the target website based on the declaration form includes: reading the cells in the statement form in sequence based on a robot process automation technology; and filling the data in the cells in the target website one by one to perform tax declaration for the enterprise.

In an exemplary embodiment of the present disclosure, further comprising: and after the tax declaration is finished, acquiring the return information of the target website and checking.

According to an aspect of the present disclosure, there is provided a tax return data processing apparatus, the apparatus including: the data module is used for acquiring tax declaration data and login information of an enterprise; the mapping module is used for determining the mapping relation and the declaration information of the tax declaration data based on the enterprise identification of the enterprise; the analysis module is used for analyzing the tax declaration data based on the mapping relation to generate a declaration form; the login module is used for logging in a target website through the login information and the declaration information based on a robot process automation technology; and the declaration module is used for performing tax declaration for the enterprise on the target website based on the declaration form.

In an exemplary embodiment of the present disclosure, further comprising: a relationship module for determining an associative relationship between the plurality of businesses and the plurality of tax payment categories; and/or determining a mapping relationship between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories.

According to an aspect of the present disclosure, an electronic device is provided, the electronic device including: one or more processors; storage means for storing one or more programs; when executed by one or more processors, cause the one or more processors to implement a method as above.

According to an aspect of the disclosure, a computer-readable medium is proposed, on which a computer program is stored, which program, when being executed by a processor, carries out the method as above.

According to the tax declaration data processing method, the tax declaration data processing device, the electronic equipment and the computer readable medium, tax declaration data and login information of an enterprise are acquired; determining the mapping relation and reporting information of the tax declaration data based on the enterprise identification of the enterprise; analyzing the tax declaration data based on the mapping relation to generate a declaration form; logging in a target website through the logging information and the declaration information based on a robot process automation technology; the mode of carrying out tax payment declaration for the enterprise on the target website based on the declaration form can assist the enterprise to carry out automatic tax payment declaration, reduce manpower, material resources and financial resources input by the enterprise in a tax payment declaration link, and improve the working efficiency and the working quality of the tax payment declaration.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.

Fig. 1 is a system block diagram illustrating a tax return data processing method and apparatus according to an example embodiment.

FIG. 2 is a flow diagram illustrating a method of tax return data processing according to an example embodiment.

FIG. 3 is a flow chart illustrating a method of tax return data processing according to another exemplary embodiment.

Fig. 4 is a schematic diagram illustrating a tax return data processing method according to another exemplary embodiment.

FIG. 5 is a flowchart illustrating a method of tax return data processing according to another example embodiment.

FIG. 6 is a flowchart illustrating a method of tax return data processing according to another example embodiment.

Fig. 7 is a block diagram illustrating a tax return data processing apparatus according to an example embodiment.

FIG. 8 is a block diagram illustrating an electronic device in accordance with an example embodiment.

FIG. 9 is a block diagram illustrating a computer-readable medium in accordance with an example embodiment.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another. Thus, a first component discussed below may be termed a second component without departing from the teachings of the disclosed concept. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

It is to be understood by those skilled in the art that the drawings are merely schematic representations of exemplary embodiments, and that the blocks or processes shown in the drawings are not necessarily required to practice the present disclosure and are, therefore, not intended to limit the scope of the present disclosure.

Fig. 1 is a system block diagram illustrating a tax return data processing method, apparatus, electronic device and computer readable medium according to an example embodiment.

As shown in fig. 1, the system architecture 10 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may be installed with various communication client applications, such as tax declaration application, web browser application, search application, instant messaging tool, mailbox client, social platform software, and the like.

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server that provides various services, such as a background management server that supports tax return data transmitted by the user using the

terminal apparatuses

101, 102, 103. The background management server can process the received tax payment declaration data and perform tax payment declaration on a target tax service website.

The server 105 may, for example, obtain tax return data and login information for the enterprise; server 105 may determine mapping and reporting information for the tax return data, e.g., based on a business identification of the business; the server 105 may analyze the tax declaration data, for example, based on the mapping relationship, to generate a declaration form; the server 105 can log in the target website through the login information and the declaration information, for example, based on a robot process automation technology; server 105 may perform a tax declaration for the business on the target website, for example, based on the declaration form.

The server 105 may also, for example, determine associations between a plurality of businesses and a plurality of tax payment categories; and/or determining a mapping relationship between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories.

The server 105 may be a server of one entity, or may be composed of a plurality of servers, for example, one part of the server 105 may be used as a tax administration information system, and another part of the server 105 may be used as a declaration robot system. It should be noted that the tax return data processing method provided by the embodiment of the present disclosure may be executed by the server 105, and accordingly, the tax return data processing apparatus may be provided in the server 105. And the webpage end which provides the user to browse the tax service website and submit tax payment declaration information is generally positioned in the

terminal equipment

101, 102 and 103.

In one embodiment, associations between a plurality of businesses and a plurality of tax categories may be determined; and/or determining a mapping relationship between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories.

The method for determining the mapping relationship between the interface fields of the plurality of enterprises and the reporting forms of the plurality of tax payment categories comprises the following steps: obtaining cell attributes in the reporting forms corresponding to the tax payment categories; acquiring field attributes of interface fields corresponding to the plurality of enterprises; and determining the mapping relation between the cell attribute and the field attribute. Acquiring an Excel template of a reporting form of each tax corresponding to different provinces, and setting a mapping relation between each access cell and an enterprise terminal interface field; and in the enterprise table, maintaining basic enterprise information, wherein the basic information comprises: the province to which the tax declaration corresponding to the enterprise identification belongs, the tax variety to be declared by the enterprise, and the like.

In one embodiment, the relationship between the visual configuration reporting form Excel cells and the enterprise-side interface fields can be set, hard coding is avoided, and once the report form or the interface is changed, adjustment can be conveniently carried out.

FIG. 2 is a flow diagram illustrating a method of tax return data processing according to an example embodiment. The tax return data processing method 20 includes at least steps S202 to S210.

As shown in fig. 2, in S202, tax declaration data and login information of the enterprise are acquired. The tax return data and the login information may be obtained, for example, through a preset interface field corresponding to the enterprise.

In one embodiment, the enterprise-side interfaces can be unified, differences of declaration forms of the provinces are shielded, and transmission of declaration data of the enterprise is facilitated.

In S204, the mapping relationship and the declaration information of the tax declaration data are determined based on the enterprise identification of the enterprise. More specifically, declaration information to be declared can be determined based on the enterprise identification of the enterprise, and the declaration information comprises tax payment categories; determining a declaration form to be declared according to the tax payment category to be declared; and determining the mapping relation between the unit cells in the declaration form to be declared and the interface fields of the tax declaration data.

In S206, the tax declaration data is analyzed based on the mapping relationship to generate a declaration. The tax return data can be populated into cells of the return, for example, based on the mapping.

In S208, a target website is logged in through the login information and the declaration information based on a robot process automation technology. More specifically, the tax payment category in the declaration information can be acquired based on a robot process automation technology; determining a target website based on the tax payment category; and logging in the target website through the login information.

Logging in each province national tax website based on a robot flow automation technology, automatically declaring, and feeding back a declaration result through a robot interface after declaration is completed. The method can realize automatic opening of the national tax electronic tax bureau website and filling in of login information, wherein the login is carried out by utilizing various modes such as a verification code (ocr identification), a short message verification code (mobile phone end program acquisition), CA certificate reading authentication and the like.

In S210, a tax declaration is made for the enterprise on the target website based on the declaration form. The cells in the statement form can be read in sequence, for example, based on a robot process automation technology; and filling the data in the cells in the target website one by one to perform tax declaration for the enterprise. The report form which needs to be filled in at the present time can be automatically opened according to a set program by utilizing an RPA robot technology, the generated excel report form is read, the excel report form is filled in one by one according to cells, and the report is stored.

In one embodiment, further comprising: and after the tax declaration is finished, acquiring the return information of the target website and checking. And the technology of ocr, element value extraction and the like can be used for obtaining the tax amount fed back by the tax bureau page and returning the tax amount to the tax management information system for comparison. More specifically, a web screenshot function can be provided, which can provide a screenshot of an exception error reporting, status reporting, and status transfer node. And when the abnormal error reporting screenshot belongs to program operation and is abnormal, automatically screenshot, and returning the abnormal page and state to the enterprise tax management information system. And the reporting state screenshot and the transfer state screenshot both screenshot corresponding to the page and return to the enterprise tax management information system according to the result of the robot executing the task.

According to the tax declaration data processing method disclosed by the invention, tax declaration data and login information of an enterprise are acquired; determining the mapping relation and reporting information of the tax declaration data based on the enterprise identification of the enterprise; analyzing the tax declaration data based on the mapping relation to generate a declaration form; logging in a target website through the logging information and the declaration information based on a robot process automation technology; the mode of carrying out tax payment declaration for the enterprise on the target website based on the declaration form can assist the enterprise to carry out automatic tax payment declaration, reduce manpower, material resources and financial resources input by the enterprise in a tax payment declaration link, and improve the working efficiency and the working quality of the tax payment declaration.

It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.

FIG. 3 is a flow chart illustrating a method of tax return data processing according to another exemplary embodiment. The process 30 shown in fig. 3 is a detailed description of "log in the target website by the log-in information and the declaration information based on the robot process automation technology" at S208 in the process shown in fig. 2.

As shown in fig. 3, in S302, the tax payment category in the declaration information is acquired based on a robot process automation technique. The tax payment category may include the province corresponding to the enterprise and the tax to be submitted corresponding to the enterprise.

In S304, a target website is determined based on the tax payment category. And determining a target website based on the provinces corresponding to the non-enterprises.

In S306, the target website is logged in through the login information. For example, a verification code is obtained through the login information to log in the target website; acquiring a short message verification code through the login information to log in the target website; and carrying out e-commerce authentication through the login information to log in the target website.

According to the tax declaration data processing method disclosed by the invention, the operation risk can be reduced: the staff operates the system for a long time, fatigue easily occurs, and thus errors are caused; the working process is automatically executed by RPA, so that the working quality can be improved, rework caused by artificial errors is avoided, and the cutting accuracy rate is close to 100%.

According to the tax declaration data processing method disclosed by the invention, the whole process of enterprise tax declaration is reduced from 320 hours spent by multiple persons to 20 hours spent by only 1 person, and then the whole tax declaration work of dozens of tax main bodies can be completed, and the efficiency is improved by 93.75%.

According to the tax declaration data processing method disclosed by the invention, the tax declaration process almost does not need to be manually participated, so that the labor cost is greatly reduced, and the complicated filing work is thoroughly liberated. This also means that enterprises can save a lot of time cost and labor cost, and employees can be put into more creative and valuable work.

FIG. 4 is a schematic diagram of a tax declaration data processing method based on CA sharing server design. Fig. 5 and 6 are flowcharts illustrating a tax return data processing method according to another exemplary embodiment. The flow 50 shown in fig. 5 and 6 is a detailed description of the flow of tax declaration data processing in the application scenario shown in fig. 4.

As shown in fig. 5, in S501, the tax management information system generates an declaration form.

In S502, "one-click declaration" is clicked.

In S503, a declaration task is generated.

In S504, the declaration robot calls the task obtaining interface to obtain the declaration task.

In S505, a key query interface is called to obtain login account information.

In S506, login account information is maintained.

In S507, the declaration software is started.

In S508, the form is filled in.

In S509, the page tax amount is compared with the tax amount in the statement.

In S510, whether the saving is successful or not is determined.

In S511, payment is required.

In S512, information is returned, which may include: and (4) carrying out failed screenshot, successfully waiting to transfer money, and not needing to transfer money successfully.

In S513, the tax management information system calls the status feedback interface to update the declaration result.

In S514, the taxes are compared.

As shown in fig. 6, in S601, "one-click money" is clicked.

In S602, a money transfer task is generated.

In S603, the declaration robot calls the task acquisition interface to acquire the money transfer task.

In S604, a key query interface is called to obtain login account information.

In S605, login account information is maintained.

In S606, the declaration software is started.

In S607, the page tax amount is compared with the tax amount in the statement.

In S608, a declaration is submitted.

In S609, whether the submission was successful is submitted.

In S610, payment is made.

In S611, whether the payment was successful.

In S612, information is returned, and the returned information may include: reporting failure screenshot, money transfer failure screenshot and money transfer success.

In S613, an declaration form is saved.

In S614, the tax management information system updates the money transfer result.

In S615, a report table is saved.

Those skilled in the art will appreciate that all or part of the steps implementing the above embodiments are implemented as computer programs executed by a CPU. When executed by the CPU, performs the functions defined by the above-described methods provided by the present disclosure. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic or optical disk, or the like.

Furthermore, it should be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.

Fig. 7 is a block diagram illustrating a tax return data processing apparatus according to another exemplary embodiment. As shown in fig. 7, the tax return data processing apparatus 70 includes: a data module 702, a mapping module 704, a parsing module 706, a logging module 708, a declaring module 710, and a relationship module 712.

The data module 702 is used for acquiring tax declaration data and login information of an enterprise; the tax return data and the login information may be obtained, for example, through a preset interface field corresponding to the enterprise.

The mapping module 704 is configured to determine a mapping relationship and reporting information of the tax declaration data based on the enterprise identifier of the enterprise; the mapping module 704 is further configured to determine declaration information to be declared based on the enterprise identifier of the enterprise, where the declaration information includes tax payment categories; determining a declaration form to be declared according to the tax payment category to be declared; and determining the mapping relation between the unit cells in the declaration form to be declared and the interface fields of the tax declaration data.

The analysis module 706 is configured to analyze the tax declaration data based on the mapping relationship to generate a declaration form; more specifically, the tax declaration data may be filled into cells of the declaration form based on the mapping relationship.

The login module 708 is configured to log in a target website through the login information and the declaration information based on a robot process automation technology; the login module 708 is further configured to obtain tax payment categories in the declaration information based on a robot process automation technology; determining a target website based on the tax payment category; and logging in the target website through the login information.

The declaration module 710 is configured to perform tax declaration for the enterprise on the target website based on the declaration form. The cells in the statement form can be read in sequence, for example, based on a robot process automation technology; and filling the data in the cells in the target website one by one to perform tax declaration for the enterprise.

The relationship module 712 is used to determine an associative relationship between the plurality of businesses and the plurality of tax payment categories; and/or determining a mapping relationship between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories.

According to the tax declaration data processing device disclosed by the invention, tax declaration data and login information of an enterprise are acquired; determining the mapping relation and reporting information of the tax declaration data based on the enterprise identification of the enterprise; analyzing the tax declaration data based on the mapping relation to generate a declaration form; logging in a target website through the logging information and the declaration information based on a robot process automation technology; the mode of carrying out tax payment declaration for the enterprise on the target website based on the declaration form can assist the enterprise to carry out automatic tax payment declaration, reduce manpower, material resources and financial resources input by the enterprise in a tax payment declaration link, and improve the working efficiency and the working quality of the tax payment declaration.

An electronic device 800 according to this embodiment of the disclosure is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is only an example and should not bring any limitations to the functionality and scope of use of the embodiments of the present disclosure.

As shown in fig. 8, electronic device 800 is in the form of a general purpose computing device. The components of the electronic device 800 may include, but are not limited to: at least one processing unit 810, at least one memory unit 820, a bus 830 connecting the various system components (including the memory unit 820 and the processing unit 810), a display unit 840, and the like.

Wherein the storage unit stores program code that can be executed by the processing unit 810, such that the processing unit 810 performs the steps according to various exemplary embodiments of the present disclosure described in this specification. For example, the processing unit 810 may perform the steps as shown in fig. 2, 3, 5, 6.

The memory unit 820 may include readable media in the form of volatile memory units such as a random access memory unit (RAM)8201 and/or a cache memory unit 8202, and may further include a read only memory unit (ROM) 8203.

The memory unit 820 may also include a program/utility 8204 having a set (at least one) of program modules 8205, such program modules 8205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 830 may be any of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 800 may also communicate with one or more external devices 800' (e.g., keyboard, pointing device, bluetooth device, etc.) such that a user can communicate with devices with which the electronic device 800 interacts, and/or any devices (e.g., router, modem, etc.) with which the electronic device 800 can communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 850. Also, the electronic device 800 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 860. The network adapter 860 may communicate with other modules of the electronic device 800 via the bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, as shown in fig. 9, the technical solution according to the embodiment of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the above method according to the embodiment of the present disclosure.

The software product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The computer readable medium carries one or more programs which, when executed by a device, cause the computer readable medium to perform the functions of: acquiring tax declaration data and login information of an enterprise; determining the mapping relation and reporting information of the tax declaration data based on the enterprise identification of the enterprise; analyzing the tax declaration data based on the mapping relation to generate a declaration form; logging in a target website through the logging information and the declaration information based on a robot process automation technology; and carrying out tax declaration for the enterprise on the target website based on the declaration form.

Those skilled in the art will appreciate that the modules described above may be distributed in the apparatus according to the description of the embodiments, or may be modified accordingly in one or more apparatuses unique from the embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A tax declaration data processing method is characterized by comprising the following steps:

acquiring tax declaration data and login information of an enterprise;

determining the mapping relation and reporting information of the tax declaration data based on the enterprise identification of the enterprise;

analyzing the tax declaration data based on the mapping relation to generate a declaration form;

logging in a target website through the logging information and the declaration information based on a robot process automation technology;

and carrying out tax declaration for the enterprise on the target website based on the declaration form.

2. The method of claim 1, further comprising:

determining an association between a plurality of businesses and a plurality of tax payment categories; and/or

A mapping relationship between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories is determined.

3. The method of claim 2, wherein determining a mapping between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories comprises:

obtaining cell attributes in the reporting forms corresponding to the tax payment categories;

acquiring field attributes of interface fields corresponding to the plurality of enterprises;

and determining the mapping relation between the cell attribute and the field attribute.

4. The method of claim 1, wherein obtaining tax return data and login information for a business comprises:

and acquiring the tax declaration data and the login information through a preset interface field corresponding to the enterprise.

5. The method of claim 3, wherein determining the mapping and reporting information for the tax return data based on the business identification of the business comprises:

determining declaration information to be declared based on enterprise identification of the enterprise, wherein the declaration information comprises tax payment categories;

determining a declaration form to be declared according to the tax payment category to be declared;

and determining the mapping relation between the unit cells in the declaration form to be declared and the interface fields of the tax declaration data.

6. The method of claim 1, wherein parsing the tax return data based on the mapping to generate a return comprises:

filling the tax declaration data into the cells of the declaration form based on the mapping relation.

7. The method of claim 1, wherein logging in to a target website via the login information and the declaration information based on robotic process automation technology comprises:

acquiring tax payment categories in the declaration information based on a robot process automation technology;

determining a target website based on the tax payment category;

and logging in the target website through the login information.

8. The method of claim 7, wherein logging in to the target website via the login information comprises:

obtaining a verification code through the login information to log in the target website; and/or

Acquiring a short message verification code through the login information to log in the target website; and/or

And carrying out e-commerce authentication through the login information to log in the target website.

9. The method of claim 1, wherein performing a tax declaration for the business on the target website based on the declaration form, comprises:

reading the cells in the statement form in sequence based on a robot process automation technology;

and filling the data in the cells in the target website one by one to perform tax declaration for the enterprise.

10. The method of claim 1, further comprising:

and after the tax declaration is finished, acquiring the return information of the target website and checking.

11. A tax return data processing apparatus, comprising:

the data module is used for acquiring tax declaration data and login information of an enterprise;

the mapping module is used for determining the mapping relation and the declaration information of the tax declaration data based on the enterprise identification of the enterprise;

the analysis module is used for analyzing the tax declaration data based on the mapping relation to generate a declaration form;

the login module is used for logging in a target website through the login information and the declaration information based on a robot process automation technology;

and the declaration module is used for performing tax declaration for the enterprise on the target website based on the declaration form.

12. The apparatus of claim 11, further comprising:

a relationship module for determining an associative relationship between the plurality of businesses and the plurality of tax payment categories; and/or determining a mapping relationship between interface fields of a plurality of enterprises and reporting tables of a plurality of tax categories.

13. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-10.

14. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-10.