Collection of VKontakte accounts. Parsing IDs of VKontakte friends without third-party software. VKontakte parser for CMS

The program is a fairly fast parser of VKontakte users and communities, which, similar to the recently published one, collects a database of communities using a list of specified keywords. It makes it possible to configure several very useful parameters, thanks to which you can parse highly targeted community databases, and even users to boot.

Parser of groups from search

The parser allows you to collect databases of communities of a certain type (groups, public pages, meetings) using a list of specified keywords. Keywords can be loaded from a file. The number of communities that need to be obtained from one keyword can be specified manually (but not more than 1000, this is a VKontakte limitation). To filter out unnecessary groups, an option is provided, such as stop words, which excludes from the search results communities whose names contain at least one of the specified stop words.


To create databases aimed at various mailings on the walls of groups/publics/meetings, you can parse only communities with open walls. By specifying the sorting method before starting parsing, you can obtain community databases with certain parameters and characteristics. If you're targeting large communities, a setting that limits the minimum number of participants in them will help.

As in the case of the program, in this parser you can limit the search area by specifying a specific region in the form of a country or city. However, they must be specified manually using identifiers. You can read about how to find out the city ID in the special article “”. The country ID is determined in the same way.

As your final results, you will receive a list of direct links to the communities you need. Unfortunately, to get a list of group IDs, instead of links to them, you will have to use another program, but any text editor, for example, a notepad.

Parser of people from search

The parser allows you to obtain a list of links to user pages found in a search for people on VKontakte using a list of specified keywords. Keywords can be loaded from a file. Due to VKontakte restrictions, the maximum number of results obtained from one key query is 1000 people. If the order in which users are sorted in search is important to you, you can customize it by selecting the most appropriate item from the drop-down menu.


Again, if you are collecting a base for mass mailings by users, especially for you, the developer has made the search more selective, capable of collecting only pages with open walls and/or personal messages. To collect the target audience, you can specify the region for search in the form of city and country identifiers, as well as the gender and age of users.

If you do not like to accumulate collected databases, but act very quickly, using them immediately after parsing, you will probably be interested in setting up for collecting people online, so that immediately after collection you can carry out the most effective mailings in the shortest possible time.

The target audience you need will be collected in the form of direct links to user pages. It is also impossible to convert links to IDs in this program, but it is very easy to do without this program.

Parser of people from groups

A parser that allows you to obtain a list of users from any open VKontakte communities. You just need to provide direct links to the desired communities and configure other settings as you please. Links to communities can be downloaded from a file and specified in any form. For example, this is how you can specify a link to a Live community:


Based on the collection results, the collected database can be pre-sorted in ascending or descending order of user IDs. If you have moderator rights in the communities from which you scrape users, then 2 more methods of sorting the results will be available to you: in chronological or anti-chronological order by joining the community.

To obtain the most effective user bases to whom you plan to send mailings in the future, there are options for collecting users online and with open walls and personal messages.

Parser of information about people

Section for collecting extended information on the list of VKontakte users. Analyzes and displays the following data in table form: first name, last name, gender, date of birth, country, city, mobile phone, attached Instagram, Twitter, Facebook accounts, current status (online/offline), openness of the wall and personal messages.


To obtain this data on users, it is necessary and sufficient to upload a list of direct links to the users you are interested in in the “People Pages” field.

The collected information, if necessary, can be saved in 2 types of files: Excel spreadsheet.xls format or regular text file. In the latter case, all user data will be separated by a semicolon.

Working with Strings

Having parsed the community database, you can use the built-in tool for working with the database to perform actions on the resulting database. Right now, for now, only 3 useful options are available: adding text to the beginning or end of lines, limiting the number of lines in the database, and deleting duplicates in it.

Thus, you can turn ID databases, say, into links to communities to use the resulting database in various systems promotions that require your own database in the form of links. Removing duplicates will allow you to get rid of duplicate entries, and in absolutely any database, and not necessarily in the database collected by this program.

For fans of this program, we immediately note that previously it could be found on various forums and sites like ours under the name “VKGroupsWorker”.

Parsing VKontakte is the collection of certain data, be it the id of a certain user’s friends, phone numbers, id of people from a certain group, and so on. The set of these actions is aimed at collecting a target audience, which will subsequently be used to configure

We parse specific people or groups, then create a file with a database of collected data and display it in advertising settings. Now our advertising will be broadcast only to the specified user ids. This way we most accurately target the interested audience. An approximate work plan can be seen in the picture below.

This parsing method, which will be described below, has not yet been seen anywhere where it is described. Take this approach and use it. The advantage is that no third party software, except perhaps the free notepad Notepad++ (if you don’t have it, type the name into the search and download it).

I want to emphasize, that we can only parse through the VKontakte Api the user id of any person from social network in contact with. To collect information from groups, this method will not work; you need to use third-party software, but this is a topic for a separate article!

Parsing friends' ids

First, we need the id number of the user of the social network VK, whose friends we are going to parse. Either through a search, we look for a person, or in another way convenient for you. If the user has renamed his page address, for example, to http://vk.com/machommen, take and click on the avatar of this user, then copy the value after the word photo in the browser line - this will be the user id.

Let's look at an example : User, his page address is https://vk.com/me

Okay, we found out the number. Now in order to parse the friends of this cute girl at http://vk.com/id2050
We insert the following command, which with the Api vk function will display all her friends.

It is worth mentioning one nuance of the function friends.get, which can display 5,000 friends of a particular user at a time. This is relevant if the user, for example, has about 8000 - 9000 thousand friends, then we use the following entry:

https://api.vk.com/method/friends.get?user_id=2050&offset=5000 The offset parameter means at what value to start sampling friends, if for example offset=5000, then friends will be searched after 5000 user

On this moment this young lady 393 friends, then we will need this figure to compare the result of the work

We copy the received data from the browser window (list of ids), it’s easier to do this with a combination CTRL keys+ A - select all. Copy and paste into Notepad++

1 ("response":[ ................contents.............])

("response":[ ................contents.............])

Great, we have a list of user ids. Remember, at the beginning I talked about the targeting base for a contact, so in order for the base to be correctly processed and accepted into the advertising account, there is correctly: user id from the beginning of each line. Now let's put our list in order as needed.

While on our list of user ids in Notepad program++ Call up the search window using the keyboard shortcut CTRL + F, tab “Replace”, set the values ​​as in the screenshot below and click “Replace All”.

We receive a ready-made list for work in the vk target, save it to yourself HDD and enjoy it for your health. Making sure we did everything correctly - final value 393 , compare with the number of friends! - Everything was done correctly. If you have any doubts, go through the ID numbers in your browser and make sure that all the numbers belong to a certain Katya Lebedeva.


Parsing VKontakte helps you collect ready-made user bases that will be convenient for you to target. Convenience and advantage that you choose target audience your product or service. This way, advertising and promotional materials will work better, respectively, Leads, and a larger percentage of visitors will convert into leads. Oooh, wonderful conversion))

Good luck in your work, I was with you

Today, in the era of robotization, the execution of similar tasks is increasingly trusted special programs. To simplify the performance of certain tasks on VKontakte, parser services were invented that can automatic mode look for the information or content you need.

Today I decided to tell you in more detail about such software, how to use it, what capabilities they have and much more.

How do parsers differ from other programs?

The main task of any parser is automatic search required content according to specified criteria. This is their main difference. Any program that has this function is considered a parser, regardless of what name the developers gave it.

Other programs either perform different tasks or solve the same problems in other ways. For example, both parsers and databases provide ready-made lists of specific users. But the way to get the list data is different. In the first case, we work with a service that independently searches for information, performing the same type of actions. In the second case, we buy a ready-made list of users.

Let's look at a live example of comparing parsers and databases. My goal was to get a list of user IDs who are my potential clients, or at least people who might be interested in my content.

I scoured the Internet in search of programs with which I could solve my problem. In the end, I realized that I could go two different ways:

  • Find your target audience using parser programs. To do this, I needed to buy software and work with it myself. At the same time, I had to know the portrait of my target audience.
  • Use databases and simply buy a ready-made list of IDs from them.

In the end, I came to the conclusion that it was better to use a parser. I will explain my choice with the following advantages of this software:

  1. I set the selection criteria myself. I cannot know exactly what criteria were used when collecting the databases. In addition, in most databases the lists were too general. For example, women 18-30 years old, Moscow. These criteria were not enough for me. I needed a narrower segmentation.
  2. Parsers look for living people from the search. I can also check the “Online user” checkbox. That is, all accounts found will be real (not bots) and not abandoned. Despite the guarantees of the database developers, I could not be 100% sure of the quality of the list of users they provided.
  3. A parser purchased once can be used forever, although there are programs where payment is made monthly. But I still settled on the first payment method.
  4. I more or less knew my target audience. Therefore, I had no problems setting up search criteria.

It makes sense to use a database only when you need to get only one or two lists, since they will be much cheaper than a whole software. Or if for some reason you do not want or cannot work independently with a desktop program or online service.

What content can you work with?

So, we sorted out the differences. Now let's talk about functionality.


Parsers are able to collect the following information and content:

  • User IDs. Collected if you need to get a list potential clients for mailing, inviting, mass liking, etc.
  • IDs of groups and publics. Collected for advertising, mailing (if the wall and comments are open), for further collection of user IDs of found communities, etc.
  • Admins. The resulting list of admins can be used to send commercial offers, offers to place advertisements or provide services, etc.
  • Entries (posts). Having parsed the most popular and interesting posts, you can post them in your community, you can use them to advertise in comments, etc.
  • Comments. Let's say you identified your target audience by comments. These could be comments on competitors’ public pages or in thematic communities. Once you find the right comments, you will find potential clients.
  • Discussions. They are collected to place advertisements in them (if open), to identify potential clients, etc.
  • Video recordings. Parsers collect the most popular videos that are viewed by many users. Posting your messages in the comments below can attract additional customers.
  • Photo albums. Once you find open photo albums, you can place your advertisements in them in image format.
  • User contact information (phone numbers, e-mail, skype, etc.)

Parsers can collect all the data that people themselves indicate in their profiles. The received phone numbers and emails can be used to directly communicate with potential clients.

Depending on which service you choose, it will have certain functions in its arsenal. The presence of both the parsing elements themselves and their parameters (selection criteria) may differ.

How to use?

It is logical that each individual parser for VK will have its own unique interface and capabilities. Therefore, the procedure for use may differ in each case.


But structurally, the same algorithm of actions is everywhere:

  1. Download and install the software on your PC or go to the website if it is an online service.
  2. Log in (link account).
  3. Select the desired task (for example, parsing users, groups or videos).
  4. Set it up. Depending on the selected task, you will need to set the appropriate search parameters.
  5. Launch.

Ready. All that remains to be done is to wait for the result. As a result, you will receive a ready-made list of information that meets the specified criteria.

TOP 5 parsers for VK

Oddly enough, there are plenty of good parsers on the Internet. There are those that specialize in parsing only one element (for example, parsing groups or phone numbers), and there are those that can parse a lot of different information and content.

Below is a list of multifunctional parsers. I have chosen the 5 most effective and popular.

Quick Sender


This is a multifunctional bot that has a parser in its arsenal of capabilities that can search for the following:

As you can see, the functionality is very large. To use the service, you must:

  1. Register on the site and log in.
  2. Select one of the services in the left menu.
  3. Set search parameters.
  4. Launch.

The main advantage of the parser is that it is free. There is also a paid version with more functionality – 399 rubles/month.

SoBot


Another quite popular bot for automatic promotion on VKontakte. SoBot has a parser that can find:

  • groups and publics;
  • users;
  • the most active community members;
  • User IDs from likes.

How to use the program:

  1. Go to the “Functions” section.
  2. Select the required type of parsing and click “Continue”.
  3. Configure it and click “Continue” again.

This software is considered one of the most inexpensive among paid ones - from 30 rubles/month. for 1 account.

VKFastParser

Desktop software specializing in parsing. The functionality is as follows:

  • groups from search;
  • people from search;
  • community members;
  • data about users (demographics, geography, phone numbers, accounts of other social networks, openness of the wall and PM).


To use the parser, you must:

  1. Launch the software.
  2. Select the desired service.
  3. Enter your VK account login and password.
  4. Configure parsing parameters.
  5. Click the “Start” button.

VKFastParser is free software.

Botbot

Another free online parser. Its capabilities include searching for the following data:

  • Community IDs;
  • User IDs;
  • popular posts;
  • active community users;
  • communities with the highest development dynamics;
  • communities with the most activity;
  • friends and subscribers.


How to use the service:

  1. Log in to the site.
  2. Select one of the services.
  3. Subscribe to the service community so that the launch button becomes active.
  4. Set parsing parameters.
  5. Launch.

The service has limitations. It can search up to 60 thousand community members, up to 1000 posts and up to 1000 groups.

Pros and cons of VK parsers

  • Multifunctionality. You can find almost any information.
  • Automation. You just need to set it up and run it.
  • Large selection of services.
  • Availability of free programs.
  • You need to have some knowledge about your target audience and at least some skills in working with programs.
  • The administration of the VK site does not encourage the use of such software. If you are suspected of using one, you can get a ban. Therefore, do not abuse it.

I tried to give you a lot useful information about parsers for VKontakte, how they work and what they are capable of. I hope you found something useful in this article.

Hello, dear friends and blog guests! Today I want to introduce you unique thing for SEO promotion of your website. This VK parser! I hope you know about such a thing?! And if not, then you should definitely find out!!!

I tell and show a video demonstrating the work VK parser!

You can also download parser for free VC, which I offer you only today and only here!!!

Let's hurry while there's a freebie...

What is VK parser?

Maybe some people don’t know what a VK parser is. Then I will tell you a little about this one-of-a-kind product.

VK parser— This is a program that is simply necessary for a user who has decided to get involved in SEO promotion and promotion of their website. With the help of this program it becomes possible to download everything VK groups And VK pages, which you need for your key queries for further use in SEO promotion and promotion of your website or blog on the most popular social network - VC.

This is what this unique and at first glance inconspicuous program looks like, which you can download free VK parser:

How does VK parser work?

It's quite simple. You can see in the picture above that you first need to log in to VK. Enter your details to log into your VK account and click “Login”, half the job is done.

Now you need to enter your keyword by which you will search for VK groups or VK pages. Then check the “Parse groups with open walls” checkbox. This is so that you can then add your posts there.

AND last action, which needs to be done so that we can start parsing VK groups. Just click the "Start" button.

And you will see in the “List of found VK groups” field on the right, the addresses of your searched VK groups will begin to appear.