CN104036008A - Keyword competitiveness analyzing method and device - Google Patents
Keyword competitiveness analyzing method and device Download PDFInfo
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- CN104036008A CN104036008A CN201410286108.1A CN201410286108A CN104036008A CN 104036008 A CN104036008 A CN 104036008A CN 201410286108 A CN201410286108 A CN 201410286108A CN 104036008 A CN104036008 A CN 104036008A
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Abstract
The invention discloses a keyword competitiveness analyzing method and device. The keyword competitiveness analyzing method includes selecting account keywords with accumulative total larger than a preset threshold value to be kernel keywords according to historic consumption data of the account keywords of a search engine within preset days; expanding keywords according to the kernel keywords to obtain expansion keywords; searching the leading end of the search engine by the expansion keywords and crawling and recording information data inputted by the search engine; selecting an information master with high competitiveness index as an appointed information master when the current information master has yet appointed another information master; according to the information data inputted by the search engine, calculating the keywords and the number thereof covered by the current information master, covered by the current information master and the appointed information master at the same time, those when the current information master ranks the top, those covered by the current information master and the appointed information master, those covered when the appointed information master ranks the top and those covered by the appointed information master alone. The keyword competitiveness analyzing and device are capable of automatically analyzing the competitiveness of the keywords of the information inputted by the search engine and help the information master acquire integral competitiveness of the keywords, and time is saved.
Description
Technical field
The embodiment of the present invention relates to search engine impression information technology, relates in particular to a kind of keyword method of analyzing competitiveness and device.
Background technology
Search engine impression information is that on internet, most important impression information is thrown in mode.If the impression information budget on the internet of all enterprises is denoted as to 100%, the input of search engine impression information aspect occupies more than 50% share.For example, main release platform is Baidu's search engine at home.Its main operation form is as follows: first, information spinner has the keyword of commercial value by determining one or more, then by the bid ranking platform of search engine, the power that acquisition rank in relevant search result is preferential, attracts relevant consumer to click a complete advertisement marketing process of target approach website with this.
In prior art, it is that the manually judgement by experience etc. is processed that information spinner is understood industry competition situation.Main dependence promoted to industry and search engine impression information the personnel or the veteran consultant that all know quite well and manually chosen industry kernel keyword, removal search engine front end is searched for these keywords one by one, understands the ranking of each information spinner on each keyword.And while increasing neologisms, be that consultant is that the kernel keyword of selecting is opened up word according to the experience of oneself and related service knowledge, according to related service knowledge, to opening up word result, manually filter, delete and self think incoherent keyword; Then, keyword grouping is reached the standard grade, if keyword brings a large amount of invalid costs, delete this keyword.
In prior art, based on manual type, understanding race condition and process keyword process has following shortcoming:
The first, due to this method, mainly rely on people's subjective judgement, be easy to occur for same keyword, different consultants to industry kernel keyword, open up word result the suggestion of filtration not consistent.This makes the quality of popularization seriously be limited to consultant's professional skill level and the understanding to industry, if consultant understands not industry, is easy to cause a large amount of invalid costs.
The second, manually by semantic mode, select kernel keyword, carry out keyword filtration, need to consume plenty of time cost: consultant needs the understanding rule of thumb with to relevant industries, according to the existing keyword extraction industry kernel keyword of account, according to kernel keyword, manually open up word again, open up word result generally more, consultant carries out analysis and filter by word, and this process can spend a large amount of valuable time of consultant.
Three, the keyword comprising in the promoted account of large enterprise may reach 100,000 or 1,000,000 magnitudes, when account scale surpasses to a certain degree, select the work of account core word surmounted manpower can and scope, the keyword that need to increase when account surpasses when a certain amount of, manually keyword is opened up word, is filtered and also can seem unable to do what one wishes.
Four, manually to Baidu's front end, searching for each keyword, check the impression information rank of own and other information spinners, waste time and energy, is only also to understand the race condition of each information spinner on each keyword, cannot hold the overall situation.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of keyword method of analyzing competitiveness and device, to realize the keyword competition automatic analysis to search engine impression information.
First aspect, the embodiment of the present invention provides a kind of keyword method of analyzing competitiveness, and described method comprises:
Historical consume data according to search engine account keyword in default number of days, choose account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword;
According to described kernel keyword, open up word, obtain expanding keyword;
Use described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, wherein, described search engine impression information data comprise obtain search engine impression information keyword, with described in obtain URL(uniform resource locator) and the rank of the search engine impression information that the keyword of search engine impression information is corresponding;
When this information spinner does not have the appointed information paid close attention to main, choose except the high information spinner of the competitiveness index this information spinner is as appointed information master;
According to described search engine impression information data, calculate that this information spinner covers, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information.
Second aspect, the embodiment of the present invention also provides a kind of keyword competition analysis device, and described device comprises:
First chooses module, for the historical consume data in default number of days according to search engine account keyword, chooses account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword;
Open up word module, for opening up word according to described kernel keyword, obtain expanding keyword;
Crawl logging modle, be used for using described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, wherein, described search engine impression information data comprise obtain search engine impression information keyword, with described in obtain URL(uniform resource locator) and the rank of the search engine impression information that the keyword of search engine impression information is corresponding;
Second chooses module, when main for the appointed information that do not have at this information spinner to pay close attention to, chooses except the high information spinner of the competitiveness index this information spinner is as appointed information master;
Computing module, for according to described search engine impression information data, calculate that this information spinner covers, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information.
Keyword method of analyzing competitiveness and device that the embodiment of the present invention provides, by the historical consume data in default number of days according to search engine account keyword, choose account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword, according to described kernel keyword, open up word, obtain expanding keyword, use described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, according to described search engine impression information data, calculating this information spinner covers, the rank of the main covering simultaneously of this information spinner and described appointed information and this information spinner is before described appointed information master, the rank of the main covering simultaneously of this information spinner and described appointed information and this information spinner is after the main rank of described appointed information, this information spinner does not cover and keyword and the quantity of the main covering of described appointed information, realized the competition of the keyword of search engine impression information has been carried out to automatic analysis, can help this information spinner to understand the comprehensive competition situation of keyword, be no longer dependent on people's subjective judgement, there is not situation about varying with each individual, saved the time, simultaneously, when this information spinner does not have the appointed information paid close attention to main, can choose appointed information master for this information spinner.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of keyword method of analyzing competitiveness of providing of first embodiment of the invention;
Fig. 2 is the schematic diagram of search engine impression information in prior art;
Fig. 3 is the schematic diagram of a kind of keyword competition analysis device of providing of second embodiment of the invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, in accompanying drawing, only show part related to the present invention but not full content.
Fig. 1 shows the first embodiment of the present invention.
Fig. 1 is the process flow diagram of a kind of keyword method of analyzing competitiveness of providing of first embodiment of the invention, the information spinner that the method is applicable to throw in search engine impression information carries out automatic analysis to the competition of keyword, can be carried out by background server, the method specifically comprises the steps:
Step 110, the historical consume data according to search engine account keyword in default number of days, choose account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword.
Wherein, search word refers to by search engine user and offers word search engine, that express personal search intention.Keyword refers to the word of its popularization intention of embodiment that information spinner is bought, a corresponding advertisement of keyword.Search word that the keyword of buying when information spinner and search engine user are submitted to is consistent or very similar time, the search engine impression information of this keyword representative is just likely demonstrated.For example, a search engine user is wanted to purchase the air ticket on the net, and he has submitted search word " plane ticket " in search engine; Now, those impression information of having bought the information spinner that " plane ticket " is keyword are just likely demonstrated.Impression information inclusion information is promoted mainly wide demonstration URL(uniform resource locator), and one section brief, there is agitative advertising slogan.Wherein, URL(uniform resource locator) (Uniform Resource Locator, URL) is the position of the resource to obtaining from internet and a kind of succinct expression of access method, is the address of standard resource on internet.Fig. 2 is the schematic diagram of search engine impression information in prior art.Information spinner, when buying keyword, can be made every effort to the word that finds those can accurately describe searchers's intention and possess commercial value.
Wherein, described search engine account keyword refers to the keyword that information spinner is bought in described search engine.
Background server is first according to the API of search engine (Application Programming Interface, application programming interface) the historical consume data of interface obtaining information master's search engine account keyword in default number of days, are chosen at account keyword that the cumulative consumption in default number of days is greater than predetermined threshold value as kernel keyword.Wherein, the setting of predetermined threshold value is relevant with the quantity of the search engine account keyword of information spinner, and the quantity of the search engine account keyword of the quantity of kernel keyword and information spinner is relevant.For example: if throw in search engine impression information in information spinner Shi Baidu, the quantity of Baidu's account keyword of choosing quantity and information spinner of kernel keyword is relevant.
Wherein, the object of api interface be to provide application program and developer based on certain software or hardware to access the ability of one group of routine, and without access source code, or understand the details of internal work mechanism.
Preferably, the historical consume data according to search engine account keyword in default number of days, choose account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword, comprising:
Obtain the historical consume data of search engine account keyword in default number of days;
Calculate the cumulative consumption of each search engine account keyword in default number of days;
Choose search engine account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword.
Background server obtains the historical consume data of search engine account keyword in default number of days (as 30 days) by the api interface of search engine, calculate the cumulative consumption of each search engine account keyword in default number of days, by cumulative consumption, described search engine account keyword is carried out to descending sort, according to the quantity of described search engine account keyword, choose search engine account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword.Wherein, the setting of predetermined threshold value is relevant with the quantity of search engine account keyword, the quantity of the kernel keyword of choosing is relevant with the quantity of described search engine account keyword, for example: can choose 1/10 search engine account keyword as kernel keyword.
The present embodiment is unified to the extraction standard of kernel keyword, does not have situation about varying with each individual.Keyword to each promoted account is analyzed, the kernel keyword and the promoted account that extract are closely related, reduced to a great extent not understand to promoting industry etc. the deviation of bringing, consumption data according to the long period is chosen, not only reduced industry deviation, what also guarantee to a great extent to choose is industry core word.
Step 120, opens up word according to described kernel keyword, obtains expanding keyword.
Background server is submitted kernel keyword to by the api interface of search engine, obtains opening up the retrieval amount that word result is expanded keyword and respectively expanded keyword.
Wherein, opening up word refers under the prerequisite guaranteeing with the correlativity of the business of information spinner and user's search intention, for improving the marketing effectiveness of impression information, need to expand existing keyword, to increase keyword quantity, cover search engine user as much as possible, the obvious relevant user of search intention and information spinner business especially, namely impression information can represent to more potential customers.Traditional word mode of opening up has business experience, the related term (word comprising in relevant search) of search engine (such as Baidu) search bottom, the keyword instrument (single word expansion) on search engine account backstage etc.
Preferably, according to described kernel keyword, open up word, obtain expanding keyword, comprising:
According to described kernel keyword, carry out batch and open up word;
The keyword of opening up after word is filtered, retain the non-account word of described kernel keyword and retrieval amount non-zero, the non-account word of described kernel keyword and retrieval amount non-zero forms expands keyword.
Background server is submitted kernel keyword in batches by the api interface of search engine, according to returning results the keyword that obtains opening up after word, again the keyword of opening up after word is filtered, the non-account word that retains described kernel keyword and retrieval amount non-zero, abandoning retrieval amount is zero non-account word, and the non-account word of described kernel keyword and retrieval amount non-zero forms expands keyword.By the keyword of opening up after word is filtered, can reduce volumes of searches and the calculated amount of subsequent step, save time.
Step 130, is used described expansion keyword to search at search engine front end, crawls and record searching engine impression information data.
Background server is used described expansion keyword to search for by the api interface of search engine, crawls the search engine impression information data that obtain according to each keyword search by web crawlers, and records these search engine impression information data.Wherein, web crawlers (the webpage spider that is otherwise known as, network robot), is a kind of according to certain rule, captures automatically program or the script of WWW information.The present embodiment is captured and has been substituted manual search by data, has not only reduced consultant's quality time, impression information data can also be recorded quickly and easily, for data basis is established in follow-up statistical study.
Wherein, described search engine impression information data comprise obtain search engine impression information keyword, with described in obtain URL(uniform resource locator) and the rank of the search engine impression information that the keyword of search engine impression information is corresponding.
Wherein, the rank of impression information is that information spinner obtains by bid ranking.For example, when user submits a search word (: " plane ticket ") to, often have a plurality of information spinners and bought corresponding keyword simultaneously, these information spinners will be competed mutually impression information and represent order, now, search engine will determine the order that represents of different information spinner impression information according to bid ranking rule, search engine is generally shown impression information on page upper left side and upper right side.Upper left impression information can obtain maximum concerns, and article one impression information of this top, region ranks the first, and is followed successively by second, third downwards, by that analogy.The concern that top-right impression information obtains is more upper left few, and the rank ranking of the impression information is here after the impression information of left side.Generally speaking, the more forward impression information of rank more can attract consumer's attention.
Preferably, use described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, comprising:
Use described expansion keyword to carry out batch search at search engine front end, crawl and record searching engine impression information content and corresponding keyword;
According to the keyword that obtains search engine impression information, analyzing web page obtains the rank of the search engine impression information corresponding with the described keyword that obtains search engine impression information;
Record is respectively expanded keyword in the search engine impression information data of described search engine homepage.
Background server is used described expansion keyword to carry out batch search by the api interface of search engine, crawl and record searching engine impression information content and corresponding keyword, wherein, described search engine impression information content comprises the related content of internet paid advertisement, comprises the URL of internet paid advertisement; Background server is according to the keyword that obtains search engine impression information, analyzing web page obtains the rank of the search engine impression information corresponding with the described keyword that obtains search engine impression information, according to the position of search engine impression information, obtains the rank of search engine impression information; Background server record is respectively expanded keyword in the search engine impression information data of described search engine homepage.The search engine impression information data that only retain search engine homepage are conducive to save analysis time.
Step 140, when this information spinner does not have the appointed information paid close attention to main, chooses except the high information spinner of the competitiveness index this information spinner is as appointed information master.
Wherein, this information spinner refers to the information spinner that carries out keyword competition analysis, and appointed information master refers to other information spinners that this information spinner is paid close attention to, and the keyword number that competitiveness index covers with information spinner is relevant with average rank.
First background server judges the appointed information master whether this information spinner is paid close attention to, when this information spinner does not have the appointed information paid close attention to main, according to search engine impression information data, calculate keyword number and the average rank covering except other information spinners this information spinner, the keyword number covering according to other each information spinners and average rank are calculated the competitiveness index of other each information spinners, choose information spinner that competitiveness index is high as appointed information master.
Step 150, according to described search engine impression information data, calculate that this information spinner covers, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information.
Background server is distinguished different information spinners according to the URL of the search engine impression information in described search engine impression information data, keyword and the quantity of this information spinner covering (purchase) of keyword competition analysis is carried out in calculating, keyword and the quantity of the rank of the main covering simultaneously of this information spinner and described appointed information and this information spinner before described appointed information master, keyword and the quantity of the rank of the main covering simultaneously of this information spinner and described appointed information and this information spinner after the main rank of described appointed information does not cover and keyword and the quantity of the main covering of described appointed information with this information spinner, result of calculation is returned to front end, by front end, shown.According to this statistical computation result, can provide for this information spinner the whole general layout of industry competition.By the statistical study of impression information data having been substituted to human eye in prior art, see one by one impression information and rely on memory to be analyzed, the methods analyst data with science, understand the race condition of each keyword, the overall competitive situation of whole industry keyword especially can be provided.
Preferably, described keyword method of analyzing competitiveness also comprises:
According to this information spinner cover, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information, finds out industry heavy duty word and the industry lost pearl of this information spinner.
Wherein, industry heavy duty word refers to that this information spinner and appointed information are main and covers and the rank of this information spinner keyword after the main rank of described appointed information simultaneously.Industry lost pearl refers to that this information spinner does not cover and the keyword of the main covering of appointed information, namely information spinner do not cover, the word of the main covering of at least one appointed information; In addition, information spinner and appointed information master all do not cover, but the word that has other information spinners to cover, in this class word, those more words of retrieval amount information spinner number higher, that cover this word are also possible industry lost pearls.Inferior position core word by this step in can the own account of the main understanding of help information is industry heavy duty word, it is industry lost pearl that help information master finds the industry neologisms that do not covered, and tutorial message master formulates and the input strategy of the keyword of adjusting accounts targetedly better.
The present embodiment is by the historical consume data in default number of days according to search engine account keyword, chooses account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword, according to described kernel keyword, open up word, obtain expanding keyword, use described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, when this information spinner does not have the appointed information paid close attention to main, choose except the high information spinner of the competitiveness index this information spinner is as appointed information master, according to described search engine impression information data, calculating this information spinner covers, the rank of the main covering simultaneously of this information spinner and described appointed information and this information spinner is before described appointed information master, the rank of the main covering simultaneously of this information spinner and described appointed information and this information spinner is after the main rank of described appointed information, this information spinner does not cover and keyword and the quantity of the main covering of described appointed information, realized the competition of the keyword of search engine impression information has been carried out to automatic analysis, can help this information spinner to understand the comprehensive competition situation of keyword, be no longer dependent on people's subjective judgement, there is not situation about varying with each individual, saved the time, simultaneously, when this information spinner does not have the appointed information paid close attention to main, can choose appointed information master for this information spinner.
Fig. 3 shows the second embodiment of the present invention.
Fig. 3 is the schematic diagram of a kind of keyword competition analysis device of providing of second embodiment of the invention.A kind of keyword method of analyzing competitiveness that a kind of keyword competition analysis device that the present embodiment provides provides for realizing the first embodiment.As shown in Figure 3, the keyword competition analysis device described in the present embodiment comprises: first choose module 310, open up word module 320, crawl logging modle 330, second choose module 340 and computing module 350.
Wherein, first chooses module 310 for the historical consume data in default number of days according to search engine account keyword, chooses account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword.
Preferably, described first choose module and comprise:
Obtain submodule, for obtaining the historical consume data of search engine account keyword in default number of days;
Calculating sub module, for calculating the cumulative consumption of each search engine account keyword in default number of days;
Choose submodule, for choosing search engine account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword.
Open up word module 320 for opening up word according to described kernel keyword, obtain expanding keyword.
Preferably, described in, opening up word module comprises:
Open up lexon module, for carrying out batch according to described kernel keyword, open up word;
Filter submodule, for the keyword of opening up after word is filtered, retain the non-account word of described kernel keyword and retrieval amount non-zero, the non-account word of described kernel keyword and retrieval amount non-zero forms expands keyword.
Crawl logging modle 330 for using described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, wherein, described search engine impression information data comprise obtain search engine impression information keyword, with described in obtain URL(uniform resource locator) and the rank of the search engine impression information that the keyword of search engine impression information is corresponding.
Preferably, described in, crawling logging modle comprises:
Crawl record sub module, for using described expansion keyword to search at search engine front end, crawl and record searching engine impression information content and corresponding keyword;
Analyzing sub-module, for according to obtaining the keyword of search engine impression information, analyzing web page obtains the rank of the search engine impression information corresponding with the described keyword that obtains search engine impression information;
Record sub module, respectively expands keyword in the search engine impression information data of described search engine homepage for recording.
Second chooses module 340 when main for the appointed information that do not have at this information spinner to pay close attention to, chooses except the high information spinner of the competitiveness index this information spinner is as appointed information master.
Computing module 350 is for according to described search engine impression information data, calculate that this information spinner covers, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information.
Preferably, described keyword competition analysis device also comprises:
Search module, for this information spinner cover, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information, finds out industry heavy duty word and the industry lost pearl of this information spinner.
The present embodiment by choose module 310 according to search engine account keyword the historical consume data in default number of days, choose account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword, open up word module 320 and open up word according to described kernel keyword, obtain expanding keyword, crawl logging modle 330 and use described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, second chooses module 340 when main for the appointed information that do not have at this information spinner to pay close attention to, chooses except the high information spinner of the competitiveness index this information spinner is as appointed information master, computing module 350 is according to described search engine impression information data, calculating this information spinner covers, the rank of the main covering simultaneously of this information spinner and described appointed information and this information spinner is before described appointed information master, the rank of the main covering simultaneously of this information spinner and described appointed information and this information spinner is after the main rank of described appointed information, this information spinner does not cover and keyword and the quantity of the main covering of described appointed information, realized the competition of the keyword of search engine impression information has been carried out to automatic analysis, can help this information spinner to understand the comprehensive competition situation of keyword, be no longer dependent on people's subjective judgement, there is not situation about varying with each individual, saved the time, simultaneously, when this information spinner does not have the appointed information paid close attention to main, can choose appointed information master for this information spinner.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious variations, readjust and substitute and can not depart from protection scope of the present invention.Therefore, although the present invention is described in further detail by above embodiment, the present invention is not limited only to above embodiment, in the situation that not departing from the present invention's design, can also comprise more other equivalent embodiment, and scope of the present invention is determined by appended claim scope.
Claims (10)
1. a keyword method of analyzing competitiveness, is characterized in that, described method comprises:
Historical consume data according to search engine account keyword in default number of days, choose account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword;
According to described kernel keyword, open up word, obtain expanding keyword;
Use described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, wherein, described search engine impression information data comprise obtain search engine impression information keyword, with described in obtain URL(uniform resource locator) and the rank of the search engine impression information that the keyword of search engine impression information is corresponding;
When this information spinner does not have the appointed information paid close attention to main, choose except the high information spinner of the competitiveness index this information spinner is as appointed information master;
According to described search engine impression information data, calculate that this information spinner covers, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information.
2. method according to claim 1, is characterized in that, the historical consume data according to search engine account keyword in default number of days are chosen account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword, comprising:
Obtain the historical consume data of search engine account keyword in default number of days;
Calculate the cumulative consumption of each search engine account keyword in default number of days;
Choose search engine account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword.
3. method according to claim 1, is characterized in that, according to described kernel keyword, opens up word, obtains expanding keyword, comprising:
According to described kernel keyword, carry out batch and open up word;
The keyword of opening up after word is filtered, retain the non-account word of described kernel keyword and retrieval amount non-zero, the non-account word of described kernel keyword and retrieval amount non-zero forms expands keyword.
4. method according to claim 1, is characterized in that, uses described expansion keyword to search at search engine front end, crawls and record searching engine impression information data, comprising:
Use described expansion keyword to carry out batch search at search engine front end, crawl and record searching engine impression information content and corresponding keyword;
According to the keyword that obtains search engine impression information, analyzing web page obtains the rank of the search engine impression information corresponding with the described keyword that obtains search engine impression information;
Record is respectively expanded keyword in the search engine impression information data of described search engine homepage.
5. according to the method described in claim 1-4 any one, it is characterized in that, also comprise:
According to this information spinner cover, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information, finds out industry heavy duty word and the industry lost pearl of this information spinner.
6. a keyword competition analysis device, is characterized in that, described device comprises:
First chooses module, for the historical consume data in default number of days according to search engine account keyword, chooses account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword;
Open up word module, for opening up word according to described kernel keyword, obtain expanding keyword;
Crawl logging modle, be used for using described expansion keyword to search at search engine front end, crawl and record searching engine impression information data, wherein, described search engine impression information data comprise obtain search engine impression information keyword, with described in obtain URL(uniform resource locator) and the rank of the search engine impression information that the keyword of search engine impression information is corresponding;
Second chooses module, when main for the appointed information that do not have at this information spinner to pay close attention to, chooses except the high information spinner of the competitiveness index this information spinner is as appointed information master;
Computing module, for according to described search engine impression information data, calculate that this information spinner covers, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information.
7. device according to claim 6, is characterized in that, described first chooses module comprises:
Obtain submodule, for obtaining the historical consume data of search engine account keyword in default number of days;
Calculating sub module, for calculating the cumulative consumption of each search engine account keyword in default number of days;
Choose submodule, for choosing search engine account keyword that cumulative consumption is greater than predetermined threshold value as kernel keyword.
8. device according to claim 6, is characterized in that, described in open up word module and comprise:
Open up lexon module, for carrying out batch according to described kernel keyword, open up word;
Filter submodule, for the keyword of opening up after word is filtered, retain the non-account word of described kernel keyword and retrieval amount non-zero, the non-account word of described kernel keyword and retrieval amount non-zero forms expands keyword.
9. device according to claim 6, is characterized in that, described in crawl logging modle and comprise:
Crawl record sub module, for using described expansion keyword to search at search engine front end, crawl and record searching engine impression information content and corresponding keyword;
Analyzing sub-module, for according to obtaining the keyword of search engine impression information, analyzing web page obtains the rank of the search engine impression information corresponding with the described keyword that obtains search engine impression information;
Record sub module, respectively expands keyword in the search engine impression information data of described search engine homepage for recording.
10. according to the device described in claim 6-9 any one, it is characterized in that, also comprise:
Search module, for covering according to this information spinner, this information spinner and described appointed information main cover simultaneously and the rank of this information spinner before described appointed information master, the rank of this information spinner and the main covering simultaneously of described appointed information and this information spinner after the main rank of described appointed information, this information spinner do not cover and keyword and the quantity of the main covering of described appointed information, finds out industry heavy duty word and the industry lost pearl of this information spinner.
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