VK people search by criteria
VK returns about three hundred people per request and stops there, so a plain "search by criteria" hits the ceiling almost immediately. We slice the query by age, gender and city and merge the results without duplicates: one measured niche produced 1,908 people in 25 seconds instead of 132.
What you get in the file
columns from the tool “VK: community search”| Title | Members | Type | Access | Topic | City | Address |
|---|---|---|---|---|---|---|
An Excel file with links in a separate column and a KPI sheet. The rows will be yours — only the headers are shown here.
Features
- Profile criteria: city, gender, age, job title, employer, home town
- Ceiling bypassed by slicing — 1,908 people versus 132 head-on
- Our own city list, not just the capitals; large cities are split further
- Activity filter: when the person last logged in
- Export of ids — upload them into the ad account as an audience
- A profile link on every row
How it works
Point at a community or topic
Paste a VK community link or set the niche and city.
Choose what to collect
Profile criteria: city, gender, age, job title, employer, home town.
Run the collection
It runs on the server through our own accounts — no VK account of your own required.
Download the Excel file
Open profile fields with clickable links. VK exposes no phone numbers.
FAQ
Do you provide these people's phones and emails?
No. We collect only what a person made public in their profile and export ids with links. The service collects no private individuals' contacts in any tool — that is personal data.
What are the ids for, then?
They are uploaded into an ad account as an audience for impressions. The ads reach people while their contacts stay with them.
Why does the search match profile names?
The platform matches keywords against the name, not interests. The precise criteria are city, age, gender, job title and employer — VK filters those on its side.
How deep can it collect?
It depends on how narrow the criteria are. Measured on 2026-07-20 for one niche: 1,908 people in 25 seconds across 21 requests.