CN106339372B - Method and device for optimizing search engine - Google Patents
Method and device for optimizing search engine Download PDFInfo
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- CN106339372B CN106339372B CN201510390418.2A CN201510390418A CN106339372B CN 106339372 B CN106339372 B CN 106339372B CN 201510390418 A CN201510390418 A CN 201510390418A CN 106339372 B CN106339372 B CN 106339372B
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- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The invention provides a method and a device for optimizing a search engine, wherein the method for optimizing the search engine comprises the following steps: acquiring logs generated when a search engine crawler crawls website contents; analyzing the log according to the configured log format to obtain log data contained in the log; obtaining a log analysis result under a selected dimension according to the log data, wherein the selected dimension is one or combination of dimensions of data included in the log data; and optimizing a search engine for the website according to the log analysis result. The invention can obtain the log data by analyzing the log of the website content crawled by the search engine crawler, and further obtain the log analysis result under the selected dimensionality according to the log data, thereby carrying out SEO on the website according to the log analysis result, simplifying the SEO operation, improving the usability of the SEO, timely finding the SEO problem in the updating and maintenance of the website and improving the SEO efficiency.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a method and a device for optimizing a search engine.
Background
In the Optimization of Search Engine (SEO), crawlers of each Search Engine capture various websites to generate a large amount of behavior logs of the crawlers, at the moment, SEO personnel need to analyze massive logs to obtain an analysis result, and the SEO is started to perform the SEO on the websites according to the working experience of the SEO personnel so as to achieve the purpose of SEO on the websites.
However, since analysis of behavior logs of crawlers of search engines needs to be performed by SEO personnel having SEO expertise and many companies, teams, or individuals do not have SEO knowledge, analysis of behavior logs of crawlers of search engines and consequently SEO cannot be performed. In addition, dimensions considered by different SEO personnel are different, and omission is easily caused. In addition, in the prior art, SEO personnel need to obtain analysis results from a large number of logs and then perform SEO through manual editing, so that the operation is complex and the efficiency is low.
Disclosure of Invention
The present invention has been made to solve at least one of the technical problems of the related art to some extent.
To this end, a first object of the invention is to propose a method for search engine optimization. The method can obtain log data by analyzing the log of the website content crawled by the search engine crawler, and further obtain a log analysis result under the selected dimensionality according to the log data, so that SEO can be performed on the website according to the log analysis result, the SEO operation is simplified, the SEO usability is improved, the SEO problem occurring in website updating and maintenance can be found in time, and the SEO efficiency is improved.
The second purpose of the invention is to provide a device for optimizing the search engine.
In order to achieve the above object, a method for optimizing a search engine according to an embodiment of the first aspect of the present invention includes: acquiring logs generated when a search engine crawler crawls website contents; analyzing the log according to the configured log format to obtain log data contained in the log; obtaining a log analysis result under a selected dimension according to the log data, wherein the selected dimension is one or combination of dimensions of data included in the log data; and optimizing a search engine for the website according to the log analysis result.
According to the method for optimizing the search engine, log data are obtained by analyzing the logs of the website contents crawled by the search engine crawler, and then the log analysis result under the selected dimensionality is obtained according to the log data, so that SEO can be performed on the website according to the log analysis result, the operation of the SEO is simplified, the usability of the SEO is improved, the SEO problem occurring in the updating and maintenance of the website can be found in time, and the SEO efficiency is improved.
In order to achieve the above object, an apparatus for optimizing a search engine according to an embodiment of a second aspect of the present invention includes: the acquisition module is used for acquiring logs generated when the search engine crawler crawls website contents; the analysis module is used for analyzing the log according to the configured log format to obtain log data contained in the log; an obtaining module, configured to obtain a log analysis result in a selected dimension according to the log data, where the selected dimension is one or a combination of dimensions of data included in the log data; and the optimizing module is used for optimizing the search engine of the website according to the log analysis result obtained by the obtaining module.
According to the search engine optimization device, the log of the website content crawled by the search engine crawler is analyzed by the analysis module to obtain the log data, and the log analysis result under the selected dimensionality is obtained by the obtaining module according to the log data, so that the optimization module can perform SEO on the website according to the log analysis result, the operation of the SEO is simplified, the usability of the SEO is improved, the SEO problem occurring in the updating and maintenance of the website can be found in time, and the SEO efficiency is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of one embodiment of a method for search engine optimization of the present invention;
FIG. 2 is a diagram illustrating an embodiment of log analysis results in the method for search engine optimization according to the present invention;
FIG. 3 is a schematic structural diagram of an apparatus for optimizing a search engine according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a flowchart of an embodiment of a method for optimizing a search engine according to the present invention, and as shown in fig. 1, the method for optimizing a search engine may include:
And 102, analyzing the log according to the configured log format to obtain log data contained in the log.
The present embodiment supports multiple log formats, for example: common Log Format (CLF), central Common Log file Format of National Supercomputer Applications (NCSA), Combined Log Format (Combined Log Format), custom Log Format, and so on.
After the log format is configured, the log may be analyzed according to the configured log format to obtain log data included in the log, where the log generally includes data in table 1 below and data necessary for performing SEO.
TABLE 1
As can be seen from table 1, the log data includes data of at least one of the following dimensions: the IP address of the search engine crawler, the time for the search engine crawler to crawl the website content, the request method of the search engine crawler, the request address of the search engine crawler, the status code of the website response, and the UA of the search engine crawler.
Specifically, the behavior of the search engine crawler when crawling the website content can be determined according to the log data. In Table 1, crawler UA "Mozilla/5.0 (compatible; Baiduspider/2.0; + http:// www.baidu.com/search/spider. html)" appears 2 times, abbreviated as "Baiduspider", and logs generated by each search engine crawler can be separated from log data by crawler UA. For example: the crawler UA "Baiduspider" can be used to obtain the crawler log of the Baidu search engine, the Baidu crawler log can be screened out according to the crawler UA "Baiduspider", the situation that the Baidu crawler accesses various webpage resources can be obtained, such as the time for crawling the website content, the request method, the request address, the status code and the like, the log analysis result under the selected dimensionality can be obtained according to the log data, and as shown in FIG. 2, FIG. 2 is a schematic diagram of an embodiment of the log analysis result in the search engine optimization method.
In fig. 2, 3.1 is screening of a crawler UA dimension, 3.2 is screening of a time dimension, and 3.3 is screening of a status code, and in this embodiment, a log analysis result of a single dimension may be obtained, or a log analysis result of a combined dimension may also be obtained.
And 3.4, log analysis results of the Baidu crawlers are shown, and the grasping amount and the sum of each request path and optimization suggestions of each level of path can be seen from 3.4.
And 3.5, analyzing information for the detailed logs under the selected request path, wherein the grab quantity of the request address "/index. html", the state code of the website response and optimization suggestions of each request address can be seen.
And 104, optimizing a search engine of the website according to the log analysis result.
In an implementation manner of this embodiment, optimizing a search engine for a website according to a log analysis result may be: and giving out an optimization suggestion for the website according to the log analysis result, and performing SEO on the website according to the optimization suggestion.
As described above, in fig. 2, 3.4 and 3.5 give optimization suggestions for a website, so that SEOs can be performed on the website according to the optimization suggestions.
In another implementation manner of this embodiment, optimizing a search engine for a website according to a log analysis result may be: and judging whether the log analysis result triggers an automatic optimization condition, and if so, performing automatic SEO on the website.
The automatic optimization condition comprises that the address carrying the dynamic parameter is automatically forbidden to be captured; thus, the log analysis result triggering automatic optimization condition may be: the request address of the search engine crawler in the log analysis result is an address carrying dynamic parameters; the automatic search engine optimization of the website can be as follows: the address is automatically added to a web crawler exclusion criteria (robots. txt) file to prohibit crawling of the address.
The automatic optimization condition may include an address of an exception of an automatically derived status code, and thus, the log analysis result triggering automatic optimization condition may be: the log analysis result comprises a request address with abnormal state code; the automatic search engine optimization of the website can be as follows: and automatically deriving the abnormal request address of the status code, and providing the abnormal request address for SEO personnel to process.
The automatic optimization condition may include automatically prohibiting fetching a request address greater than an X-level path, where X is an integer and X is greater than or equal to 1; at this time, the log analysis result triggering automatic optimization condition may be: the log analysis result comprises a request address larger than an X-level path; the automatic search engine optimization of the website can be as follows: txt file to prohibit fetching the address. The specific value of X may be set by itself in specific implementation, and the size of X is not limited in this embodiment, for example, X may be 5.
The automatic optimization conditions are only examples of the invention, and do not limit the invention, and the invention provides configurable automatic optimization conditions, and the automatic optimization conditions can be expanded, and when the automatic optimization conditions are triggered, automatic SEO is performed, so that the problem of being unfavorable for SEO in the newly added functions of the website is reduced, and the cost of SEO is reduced.
According to the method for optimizing the search engine, the logs of the website contents are crawled by the crawler of the search engine to obtain the log data, and then the log analysis result under the selected dimensionality is obtained according to the log data, so that SEO can be performed on the website according to the log analysis result, and both teams and individuals without SEO capacity can perform SEO, the operation of SEO is simplified, the usability of SEO is improved, SEO problems occurring in website updating and maintenance can be found in time, the SEO efficiency is improved, meanwhile, an automatic SEO function is provided, and the cost of continuous optimization of SEO is reduced.
Fig. 3 is a schematic structural diagram of an embodiment of the apparatus for optimizing a search engine of the present invention, where the apparatus for optimizing a search engine in the embodiment may implement the process of the embodiment of the present invention shown in fig. 1, and as shown in fig. 3, the apparatus for optimizing a search engine may include: an acquisition module 31, an analysis module 32, an acquisition module 33 and an optimization module 34;
the acquisition module 31 is configured to acquire a log generated when a search engine crawler crawls website content;
the analysis module 32 is configured to analyze the log according to a configured log format to obtain log data included in the log; the present embodiment supports multiple log formats, for example: common Log Format (Common Log Format; hereinafter, abbreviated as CLF), central Common Log file Format of NCSA, Combined Log Format (Combined Log Format), and custom Log Format, etc. After configuring the log format, the analysis module 32 may analyze the log according to the configured log format to obtain log data included in the log, where the log generally includes data in table 1 below and data necessary for performing SEO. As can be seen from table 1, the log data obtained by the parsing module 32 includes data of at least one of the following dimensions: the IP address of the search engine crawler, the time for the search engine crawler to crawl the website content, the request method of the search engine crawler, the request address of the search engine crawler, the status code of the website response, and the UA of the search engine crawler.
An obtaining module 33, configured to obtain a log analysis result in a selected dimension according to the log data, where the selected dimension is one or a combination of dimensions of data included in the log data; specifically, the behavior of the search engine crawler when crawling the website content can be determined according to the log data. In Table 1, crawler UA "Mozilla/5.0 (compatible; Baiduspider/2.0; + http:// www.baidu.com/search/spider. html)" appears 2 times, abbreviated as "Baiduspider", and logs generated by each search engine crawler can be separated from log data by crawler UA. For example: the crawler UA "Baiduspider" can be used to obtain the crawler log of the Baidu search engine, the Baidu crawler log can be screened out according to the crawler UA "Baiduspider", the condition that the Baidu crawler accesses various web page resources can be obtained, such as the time for crawling the web content, the request method, the request address, the status code and the like, and the obtaining module 33 can obtain the log analysis result in the selected dimension according to the log data, as shown in fig. 2. In fig. 2, 3.1 is screening of a crawler UA dimension, 3.2 is screening of a time dimension, and 3.3 is screening of a status code, and in this embodiment, a log analysis result of a single dimension may be obtained, or a log analysis result of a combined dimension (i.e., a combination of two or more dimensions) may also be obtained. And 3.4, log analysis results of the Baidu crawlers are shown, and the grasping amount and the sum of each request path and optimization suggestions of each level of path can be seen from 3.4. And 3.5, analyzing information for the detailed logs under the selected request path, wherein the grab quantity of the request address "/index. html", the state code of the website response and optimization suggestions of each request address can be seen.
And the optimizing module 34 is configured to perform search engine optimization on the website according to the log analysis result obtained by the obtaining module 33.
In an implementation manner of this embodiment, the optimization module 34 is specifically configured to give an optimization suggestion for the website according to the log analysis result, and perform SEO on the website according to the optimization suggestion. As described above, in fig. 2, 3.4 and 3.5 give optimization suggestions for a website, so that SEOs can be performed on the website according to the optimization suggestions.
In another implementation manner of this embodiment, the optimization module 34 is specifically configured to determine whether the log analysis result triggers an automatic optimization condition, and if so, perform automatic SEO on the website.
The automatic optimization condition comprises that the address carrying the dynamic parameter is automatically forbidden to be captured; thus, the log analysis result triggering automatic optimization condition may be: the request address of the search engine crawler in the log analysis result is an address carrying dynamic parameters; the optimization module 34 is specifically configured to automatically add the address to a web crawler exclusion criteria (roots.txt) file to prohibit crawling the address.
The automatic optimization condition may include an address of an exception of an automatically derived status code, and thus, the log analysis result triggering automatic optimization condition may be: the log analysis result comprises a request address with abnormal state code; the optimization module 34, specifically configured to automatically derive the request address of the status code exception, is provided to the SEO staff for processing.
The automatic optimization condition may include automatically prohibiting fetching a request address greater than an X-level path, where X is an integer and X is greater than or equal to 1; at this time, the log analysis result triggering automatic optimization condition may be: the log analysis result comprises a request address larger than an X-level path; the optimization module 34 is specifically configured to automatically add the address to a robots. The specific value of X may be set by itself in specific implementation, and the size of X is not limited in this embodiment, for example, X may be 5.
Of course, the above automatic optimization conditions are only examples of the present invention, and do not limit the present invention, the present invention provides configurable automatic optimization conditions, and these automatic optimization conditions can also be expanded, when the automatic optimization conditions are triggered, the optimization module 34 performs automatic SEO, thereby reducing the problem of not being beneficial to SEO caused in the website adding function, and reducing the cost of SEO.
In the device for optimizing the search engine, the log of the website content crawled by the crawler of the search engine is analyzed by the analysis module 32 to obtain log data, and the log analysis result under the selected dimensionality is obtained by the obtaining module 33 according to the log data, so that the optimization module 34 can perform SEO on the website according to the log analysis result, and both teams and individuals without SEO capability can perform SEO, thereby simplifying the operation of SEO, improving the usability of SEO, timely finding the SEO problem in the updating and maintenance of the website, improving the efficiency of SEO, simultaneously providing an automatic SEO function, and reducing the cost of the continuous optimization of SEO.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic Gate circuit for implementing a logic function on a data signal, an asic having an appropriate combinational logic Gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), and the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A method for search engine optimization, comprising:
acquiring logs generated when a search engine crawler crawls website contents;
analyzing the log according to the configured log format to obtain log data contained in the log;
obtaining a log analysis result under a selected dimension according to the log data, wherein the selected dimension is one or combination of dimensions of data included in the log data;
performing search engine optimization on the website according to the log analysis result, including judging whether the log analysis result triggers an automatic optimization condition; if so, performing automatic search engine optimization on the website, wherein the automatic optimization conditions comprise that the capturing of the address carrying the dynamic parameters is automatically forbidden; the conditions for triggering automatic optimization by the log analysis result comprise: the request address of the search engine crawler in the log analysis result is an address carrying dynamic parameters; the automatic search engine optimization of the website comprises the following steps: and automatically adding the address into a web crawler exclusion standard file to prohibit the address from being grabbed.
2. The method of claim 1, wherein the log data comprises data in at least one of the following dimensions: the search engine crawler's Internet Protocol (IP) address, the time the search engine crawler crawls website content, the search engine crawler's request method, the search engine crawler's request address, the website response status code, and the search engine crawler's user agent.
3. The method of claim 1 or 2, wherein the optimizing a search engine for a website according to the log analysis result comprises:
and giving out an optimization suggestion for the website according to the log analysis result, and optimizing a search engine for the website according to the optimization suggestion.
4. The method of claim 1, wherein the automatic optimization condition comprises automatically deriving an address of a status code exception;
the conditions for triggering automatic optimization by the log analysis result comprise: the log analysis result comprises a request address with abnormal state code;
the automatic search engine optimization of the website comprises the following steps: and automatically deriving the abnormal request address of the status code, and providing the abnormal request address for search engine optimization personnel to process.
5. The method of claim 1, wherein the automatic optimization condition comprises automatically disabling fetching of request addresses greater than X-level paths, wherein X is an integer greater than or equal to 1;
the conditions for triggering automatic optimization by the log analysis result comprise: the log analysis result comprises a request address larger than an X-level path;
the automatic search engine optimization of the website comprises the following steps: and automatically adding the address into a web crawler exclusion standard file to prohibit the address from being grabbed.
6. An apparatus for search engine optimization, comprising:
the acquisition module is used for acquiring logs generated when the search engine crawler crawls website contents;
the analysis module is used for analyzing the log according to the configured log format to obtain log data contained in the log;
an obtaining module, configured to obtain a log analysis result in a selected dimension according to the log data, where the selected dimension is one or a combination of dimensions of data included in the log data;
the optimization module is used for optimizing a search engine of the website according to the log analysis result obtained by the obtaining module, and comprises the steps of judging whether the log analysis result triggers an automatic optimization condition, and if so, performing automatic search engine optimization on the website, wherein the automatic optimization condition comprises that an address carrying dynamic parameters is automatically forbidden to be captured; the conditions for triggering automatic optimization by the log analysis result comprise: the request address of the search engine crawler in the log analysis result is an address carrying dynamic parameters; the optimization module is specifically configured to automatically add the address to a web crawler exclusion standard file to prohibit capturing the address.
7. The apparatus of claim 6, wherein the log data obtained by the parsing module comprises data in at least one of the following dimensions: the search engine crawler's Internet Protocol (IP) address, the time the search engine crawler crawls website content, the search engine crawler's request method, the search engine crawler's request address, the website response status code, and the search engine crawler's user agent.
8. The apparatus according to claim 6 or 7,
the optimization module is specifically configured to give an optimization suggestion for a website according to the log analysis result, and perform search engine optimization on the website according to the optimization suggestion.
9. The apparatus of claim 6, wherein the automatic optimization condition comprises an address of an automatically derived status code exception; the conditions for triggering automatic optimization by the log analysis result comprise: the log analysis result comprises a request address with abnormal state code;
the optimization module is specifically used for automatically deriving the request address of the abnormal state code and providing the request address for search engine optimization personnel to process.
10. The apparatus of claim 6, wherein the automatic optimization condition comprises automatically disabling fetching request addresses that are larger than X level paths, where X is an integer and X ≧ 1; the conditions for triggering automatic optimization by the log analysis result comprise: the log analysis result comprises a request address larger than an X-level path;
the optimization module is specifically configured to automatically add the address to a web crawler exclusion standard file to prohibit capturing the address.
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| CN110263283A (en) * | 2019-06-19 | 2019-09-20 | 郑州悉知信息科技股份有限公司 | Website detection method and device |
| CN113238920A (en) * | 2021-05-14 | 2021-08-10 | 杭州志卓科技股份有限公司 | Data analysis system and method for quantitative evaluation of search engine optimization result |
| CN114295073B (en) * | 2021-12-09 | 2023-08-08 | 江苏互旦网络科技有限公司 | Automatic optimizing system for search engine |
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| CN101833581A (en) * | 2010-05-11 | 2010-09-15 | 廖达伦 | SEO website construction realizing method and system capable of optimizing search engine |
| CN104199830A (en) * | 2014-07-31 | 2014-12-10 | 渠成 | Search engine optimization big data management platform |
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| CN101833581A (en) * | 2010-05-11 | 2010-09-15 | 廖达伦 | SEO website construction realizing method and system capable of optimizing search engine |
| CN104199830A (en) * | 2014-07-31 | 2014-12-10 | 渠成 | Search engine optimization big data management platform |
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