Slovoob: how to set up and use the program. Keyword Parser Direct Search Query Parser

) The SE::Yandex::WordStat parser requires Yandex accounts. Accounts can be registered using the parser or simply add existing accounts to the files/SE-Yandex/accounts.txt file in the format:

[email protected];password
[email protected];password2
...

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Collected data (top)

• Number of impressions for the specified query
• Statistics update date
• List of all keywords related to the specified one and the number of their impressions per month
• List of all additional keywords that users searched for and the number of their impressions per month

Capabilities (top)

• Parses the maximum number of results given by the wordstat - 40 pages of 50 output items
• Supports search region selection (with subgroups)
• Can automatically substitute found keywords again in queries (Parse to level option)
• Ability to select several regions for evaluation at once
• The ability to bypass captcha using the AntiCaptcha service or any other API that supports them

Use cases (top)

• Estimating the amount of traffic by keyword (frequency)
• Search for new related keywords
• Collection of large databases of keywords on various topics
• Any other options that involve parsing Yandex.WordStat in one form or another

Requests (top)

• As queries, you must specify keywords, just as if they were entered directly into the Wordstat search form, for example:

windows moscow
"Windows Moscow"
!windows!moscow

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results (top)

• As a result, the original query is displayed, the number of its impressions, the date the statistics were updated, the list of related keywords and their impressions per month, the list of additional keywords and their impressions per month

Windows! Moscow - 10368, updated: 16/05/2013
keywords:
windows moscow: 32367
plastic windows moscow: 8994
pvc windows moscow: 4813
buy windows moscow: 2561
windows prices moscow: 1706
moscow window work: 1547
vacancies windows moscow: 1187
wooden windows moscow: 1087
service + one window moscow: 1021
...
additional keywords:
pvc window production: 8512
rehau windows: 15686
salamander windows: 1576
windows kbe: 3798
windows kbe: 6089
window que: 3227
balcony glazing: 83216
gazebos: 471213
loggia glazing: 26366
office partitions: 18740
window installation: 26223
...

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Possible settings (top)

The very first thing you need to figure out: what is parsing. Perhaps you know this definition, and even if you don't, it will be easy to understand. Parsing- means to collect information from any source with subsequent data processing. If we talk about special cases, parsing in seo (in other words, parsing search results) is the collection and analysis of user request statistics.

Search engines also use scraping. So, search robots parse by analyzing web pages and entering information about them into the database of search engines.

Yandex.Wordstat is a very useful service in SEO. But it is possible to work with it only if you have a Yandex account. It allows you to select keywords based on user requests in order to further compose a semantic core from them.

First of all, you need to determine the topic. What do you sell? What services do you provide? Having determined your topic and what you will request, you can start using Wordstat.

Enter your query in the search bar. And expand it with the returned results.

The results are generated in two columns. The number next to the query is the predicted number of impressions per month that can be received by selecting the query you like with the keyword. The forecast is for the last 30 days before the statistics update date.

You can configure the issue to be shown by region. If you provide services only in Moscow, select the "All regions" tab (it is located just below the search bar) and customize it for yourself.

In the left column, all the phrases with the words of your query, and the words in it are sorted in descending order by the frequency of impressions. It is important for you to immediately highlight those extended key options that will be targeted for your project. Target - these are the requests by which a user entering a query into a search engine can find what he needs on your site. Target phrases will be more low-frequency, and users who come from them from the issue will be able to find what they wanted, which means they will not leave your site immediately. These visitors are important to you, because it is they who can perform the target action - buy a product or order a service.

Check the selected phrases - exclude those whose frequency is close to zero. To do this, use the “ “ (quotation marks) operator.

Then go to the right column.

The right column shows queries similar to yours. Having collected the necessary, do not forget to check the phrases with the operator “ “ (quotation marks).

Having typed a sufficient number of key phrases, you proceed to the next step: divide the phrases by frequency. This completes your work with Wordstat.

For some keywords, Wordstat gives incorrect information. How to check it? Go to the Request History tab and take a look at the statistics.

Statistics readings are presented in 2 graphs: absolute and relative.

Absolute indicator- This is the actual value of impressions in different periods of time. And the relative indicator is the ratio of impressions for the query of interest to the total number of impressions in the network. It demonstrates the popularity of the request among all others.

If the graph of the relative value is higher than the absolute value, then, perhaps, the request is being automatically boosted, or the interest in the request is above the norm. Perhaps it has to do with the season. So the demand for skis is higher in winter.

The parsing process can be automated. In this case, it is possible to use not only paid and free programs, but also browser extensions.

1. Yandex Wordstat Assistant browser extension. Install it in your browser, and when working with Yandex.Wordstat, a panel will appear on the left in which you can collect your favorite keywords.

2.Key Collector- the program is paid, but highly functional.

• There is a tab "Yandex.Wordstat" in the settings. By clicking on it, you can set the parsing depth. So you can collect more keys. But it is recommended to set 0 so as not to increase the time. And the keys can be expanded in another way, and it will take less time to collect them. The maximum number of pages for parsing in Yandex.Wordstat is 40. Each page contains up to 50 phrases. Thus, the maximum number of results for one phrase in Wordstat is 2000. And if you want to collect more data, you need to expand the input list of words by adding qualifying words. For example, not just “cabbage”, but “cauliflower”, “cabbage production”, etc.;

Yandex Wordstat- this is one of the basic services for SEO-optimizers working in Runet. The regular tool of the system allows you to search for key phrases from search results - high-, medium- and low-frequency - using operators to improve search efficiency and geolocation settings. In the environment of optimizers, the process of collecting key queries relevant to the subject of the site is called parsing.

Experts parse Yandex to form a semantic core - a linguistic "backbone" for future content that most accurately reflects the niche or service that the site offers. To do this, there is its own tool for searching in Yandex - Yandex Wordstat Assistant, which can be linked to your account for free. With it, it is convenient to collect and upload the collected keywords to an Excel spreadsheet.

You can use this tool, but only if you have a relatively small site, where the semantic core is no more than a thousand queries. If the amount of work to collect the semantic core is much larger (for example, for an online store with many products), then manually parsing Yandex results using Wordstat Assistant will be unreasonably long. It is more expedient to do this with the help of special programs and online services - free, shareware and paid (for example, Key Collector).

Consider the basic principles of working with Wordstat, as well as popular tools for automatically collecting search queries.

How to parse in Wordstat: an overview of programs for analyzing search results

Yandex issuance parsing is the process of collecting search queries on a given topic (using basic markers). With Yandex Wordstat Assistant, you can easily get the basic information to form a semantic core - search queries, the number of impressions per month for each phrase, as well as words similar in subject matter that help expand the reach of the target audience. The Wordstat parser allows you to get information by words and by region, while the system focuses specifically on sites.

If you want to perform an advanced search that includes not only Yandex, but also social networks and other search engines, you need to use universal tools, such as A-Parser. This software product is easy to use, but to work effectively with it, you need to buy a proxy for parsing.

In whatever environment you work, use the universal semantic core collection scheme:

• formation of a basic list of markers (requests uniquely relevant to the site);
• collection of keywords;
• removal of "garbage" - unnecessary and accidentally included in the list of requests;
• keyword clustering by site sections or topics.

We consider the main algorithm for working with Wordstat and parsing Yandex to collect semantics using the example of a real estate agency website. Let's say we need to compile a list of relevant keywords that match the basic marker "apartment for rent".

Advice! Pay attention to hints like “searching along with this” in the next field of parsing results - this will help you reach a larger audience when compiling SEO content.

To make the task of manual parsing easier, use the Yandex. For example, by putting the sign “!” at the end of the search phrase, you will fix the end of the search query, and the system will search for words in this particular word form. The "-" (minus) operator will allow you to remove extra words, and the square brackets "" - fix the word order in the query.

Experts advise combining manual and automatic selection of queries to compose a semantic core, especially for beginners. Using the regular Yandex Wordstat Assistant tool, you develop the skills of intuitive selection of search phrases that bring target customers to the site using medium and low frequency keywords. High-frequency phrases don't always work, especially in a competitive niche.

If you do not have time for manual parsing in Yandex Wordstat, use special tools. You can find various software on the Internet, but most Russian-speaking SEO specialists parse Yandex results using Key Collector.

This is a desktop product that allows you to create and store projects for each site in the local memory of your computer, download and save files, and parse keywords in accordance with regional settings. The program requires linking to an account. To work with key search queries in the Key Collector, there are icons of the main search engines in Runet (in our case, this is a Yandex parser, although you can choose Google, Bing and others).

Other useful SEO services include:

• Serpstat- a multifunctional platform for professionals, which has a trial version with limited functionality, as well as a paid subscription from $19 to $299 per month;
• Ahrefs- a web service with many useful options, including niche monitoring, competitor analysis and improving site indexing. To collect the semantic core, the Keywords Explorer tool is provided. You can test it from $7 per week;
• Semrush- analogue of Ahrefs in terms of functionality, more expensive in terms of tariffs (from $ 99 and above).

Experts say that Key Collector is the most convenient and functional program that makes life much easier for an optimizer. It has many useful options for fine-tuning Yandex parser parameters (for example, search depth, selective search for queries by base frequency, etc.).

But the program has a nuance - it is paid. The cost of the license is 1800-1900 rubles by electronic and cashless payments, respectively.

Advice! If for some reason you do not want to use this product, you can try its free alternative "Slovoeb". A simpler option is also suitable - Bookvarix - a free service for collecting keywords and forming a semantic core.

Parsing Yandex Wordstat can be done independently and with the help of special programs. Manual collection through the Wordstat Assistant tool pays off if your niche has a narrow focus and few competitors, and the list of search queries is relatively small. For large volumes of work, it is recommended to use special programs for parsing and analytics.

The functionality of this parser allows you to collect keywords from the wordstat.yandex.ru service, the statistics of the collected keys being requested, the exact frequency of the keys, and also ungroup the collected keys into clusters.

Parser settings:

1. Login from yandex.ru - in this field you must enter the address of your mailbox from Yandex mail

2. Password from yandex.ru - in this field you must enter the password from your mail on Yandex

3. File with keywords - this field specifies a file with a list of keywords (the file must be saved in utf-8 format, each key on a new line), if you plan to activate query clustering after collection, then this file should contain only 1 basic passphrase (all words in lower case only (small letters))

4. File with negative keywords - this field contains a file with a list of negative keywords (the file must be saved in utf-8 format, each negative keyword on a new line)

5. Depth of taking - to what depth to parse

6. Explore results - this option activates the query clustering stage, after the keys are collected for the base phrase (by activating this option, you must specify the file to save the research)

7. Check for the exact frequency - this option activates the collection of the exact frequency from the collected keys

8. Deep scan - this option activates deep scan

9. Key for captcha - optional

10. File for saving keys - an excel file in which keywords from the wordstat.yandex.ru service will be saved

11. File for saving the study - an excel file in which grouped clusters will be saved after clustering

If you have any questions or wishes - write to the mail [email protected]
skype - vipvodu
Download archive with parser

An example of a file with clusters by key is the customer database.

Tips:
1. Carefully check the settings before starting.
2. If the program, after pressing the button - run - turns off - then most likely, something is wrong with the settings, or there are hanging processes after the previous interrupted parsing, the hanging processes must either be killed in the task manager or restart the computer.
3. Do not interrupt parsing, wait for the inscription - All data is saved

Keyword parser is a Datacol setting that automatically collects queries from service statistics wordstat by user-specified keywords. Thus, you only need to set the base keywords, after which Datacol will independently collect information on derived queries. Along with requests, the frequency of impressions of each request per month is stored. When parsing, Datacol goes through all the pages of the Wordstat issue.

• With the help of a parser wordstat You can collect requests and display frequency from statistics;
• You only need to provide a list of keywords for which you need to collect data;
• Save the collected information in any convenient format ( Excel, TXT, WordPress, MySQL etc.).

Parsing Wordstat implies the processing of Javascript, as well as the need for authorization to collect data. We get this opportunity thanks to the plugin. When launching a campaign Datacol will open one or more browser instances Chrome to download web pages through them. Number of running instances Chrome equals the number of campaign threads. Note that browser instances may take some time to initialize.

By whom and for what purpose is the Yandex keyword parser used?

The keyword parser is most often used by search engine promotion specialists. In particular, this concerns the implementation of the task of compiling the semantic core of the site. We will make a reservation that below we will talk about the promotion of sites in Runet. In this context, the Yandex Direct keyword parser is more relevant.

Direct search query parser

First, let's describe the standard scheme of the direct parser.

1. The user specifies the search queries whose derivatives are to be collected.
2. The parser logs in to Yandex and starts parsing Yandex WordStat for each request in turn.
3. For each request, derived keywords are obtained not only from the first page of the direct issuance, but also from all subsequent ones.

As a result, at the output we have a fairly large number of keyword options, which are further used to form the semantic core of the site.

Keywords and impressions parser - “slippery moment”

Note that in addition to keywords, we get the so-called “predicted number of impressions” - an indicator that should be treated very carefully. To begin with, let's figure out what Yandex itself writes about this value:

The results display statistics of queries from the Yandex search engine containing a given word or phrase, and other queries made by the people who searched for it (on the right).
The numbers next to each query in the results of Wordstat give a preliminary forecast of the number of impressions per month that you will have by selecting this query as a keyword.

The mistake of many optimizers is that they read only the first part of the description, and at the same time they do not read very carefully. Move on:

The number next to the word “TV” indicates the number of impressions for absolutely all queries that include the word “TV”: “buy a TV”, “Plasma TV”, “Buy a Plasma TV”, “Buy a new Plasma TV”, etc.

Have you already guessed what we are hinting at? So, you should understand the main thing - when parsing derived queries according to Wordstat, you should not pay attention to their frequency indicator, since this value is summed from the frequencies of all derived queries.

But how, in this case, to determine which keywords are more “fat” and which are less? Let's immediately debunk the erroneous opinion that derivative keywords always have fewer real impressions than the main ones. This is blatant nonsense! Quote operators will allow us to find the real number of impressions of keywords (minus the number of impressions of derivatives). Thus, to search for queries and determine the most “fat” ones, it is necessary to apply the following scheme:

1. Run a key parser to search for derivatives.
2. Take all derived queries and parse the number of impressions for each one by specifying the query in quotes.

We agree that this is a somewhat longer and more difficult path. However, imagine the situation. You have about 500 requests for which you want to promote the main site. 30 of them are (in your initial opinion, that is, according to the originally parsed Wordstat statistics) the most high-frequency. Then you spend 3 months of time and several thousand killed raccoons (yes, guys - high-quality promotion is an expensive and long-term event) and in the end it turns out that search traffic is several times less than expected. You get very upset, look for a professional promotion specialist, and he opens your eyes to the fact that you promoted completely different queries that drive traffic (in particular, he shows you real statistics on queries in quotes).

Testing the Query Parser

On our site you can download the Yandex keyword parser for free and test it. We can also discuss setting up the key parser, which will check the values ​​of the collected requests in quotes.

Testing the Wordstat parser

To test work Wordstat parser:

Step 1. Install . The demo version of the program has all the features of the paid one, but saves only first 25 results parsing.

Step 2 There is a campaign in the campaign tree seo-parsers/wordstat-keywords-parser.par. Select it and click the button Launch (Play). Before launch, you can edit Input data to change the base set requests for which statistics will be collected.

click on image to enlarge

After launching the campaign, a browser window opens, in which you need to enter authorization data to access Wordstat statistics.