# OK.ru People Scraper - дешёвый Low-cost💲🔥👥🇷🇺 (`delectable_incubator/ok-ru-people-scraper-deshyovyy-low-cost`) Actor
🔑 Extract OK.ru profiles using keyword search with ease. Collect profile names, locations, education, gender, photos, bios, and profile URLs. Ideal for audience analysis, marketing research, lead generation, social targeting, OSINT, and understanding OK.ru user demographics and engagement. 🚀📊
- **URL**: https://apify.com/delectable\_incubator/ok-ru-people-scraper-deshyovyy-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
---
## 🔵👤 OK.ru People Scraper 🔍 | Bulk Odnoklassniki Profile Scraper | Apify Actor
### 🚀 Extract OK.ru Profiles by Keyword in Seconds (No Code)
The **OK.ru People Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized profile extraction tool that allows you to **scrape public Odnoklassniki (OK.ru) user profiles in bulk using keywords**.
Extract profile information including names, profile URLs, locations, education data, gender, profile images and additional public metadata for audience research, lead generation, marketing intelligence, recruitment, and AI datasets.
---
### 🔥 Why This OK.ru People Scraper?
✔ Best OK.ru profile scraper on Apify
✔ Supports **Bulk Keyword Scraping (Multi-Search)**
✔ Fast & scalable profile extraction
✔ Extract thousands of public profiles
✔ Clean structured JSON / CSV / Excel output
✔ Ideal for audience intelligence & lead generation
✔ No coding required
✔ Cloud-based Apify Actor
---
### 🎯 What This Scraper Does
This actor searches public Odnoklassniki (OK.ru) profiles using one or multiple keywords and extracts structured profile information.
#### 📌 Core Features
✅ Scrape OK.ru profiles by keyword
✅ Bulk keyword support (SEO BOOST 🚀)
✅ Extract profile names
✅ Extract profile URLs
✅ Extract locations
✅ Extract education information
✅ Extract gender data
✅ Extract profile images
✅ Extract age when available
✅ Extract profile status metadata
✅ Automatic pagination handling
✅ High-speed extraction engine
✅ Export-ready datasets
---
### ⚡ Input Configuration
#### 🔥 BULK KEYWORD MODE
````
{
"keywords": \[
"fitness",
"marketing",
"real estate",
"crypto",
"entrepreneur",
"business owner"
],
"max\_items": 500
}
```
---
### 📊 Extracted Profile Data
| Field | Description |
| ---------------- | -------------------------- |
| uid | Unique Profile ID |
| name | Full Profile Name |
| firstName | First Name |
| lastName | Last Name |
| gender | Gender |
| age | Age |
| city | City |
| location | Location |
| profileHref | Profile URL |
| imageUrl | Main Profile Image |
| photos | Profile Photos |
| isVip | VIP Status |
| isStar | Star Status |
| isHobbyExpert | Hobby Expert Badge |
| friendshipStatus | Friendship Status |
| userStatus | Online / Offline Status |
| keyword | Keyword Used For Discovery |
---
### 💡 Use Cases
This scraper is ideal for:
📊 Audience Research
🎯 Lead Generation
🏢 B2B Prospecting
📈 Market Intelligence
💡 Marketing Research
🔍 Profile Discovery
🏁 Competitor Analysis
📡 Social Media Intelligence
🤖 AI Training Datasets
🌍 Demographic Research
📊 Consumer Insights
---
### 🚀 Key Features
⚡ Bulk keyword scraping support
👤 Public profile discovery
📌 Smart pagination system
🧠 Structured output format
📊 High-speed extraction engine
🔁 Automatic retry handling
💾 Export-ready datasets
☁️ Cloud execution on Apify
📈 SEO & research friendly
🚀 Scalable architecture
---
### 📤 Supported Export Formats
✔ JSON
✔ CSV
✔ Excel XLSX
✔ XML
✔ RSS
✔ HTML Table
---
### 📦 Example Output
```
{
"uid": "567063176589",
"name": "Fitnes Fitnes",
"firstName": "Fitnes",
"lastName": "Fitnes",
"gender": "MALE",
"age": 28,
"city": "gallaorolde meni shaxrim",
"imageUrl": "https://i.okcdn.ru/example.jpg",
"isVip": false,
"isStar": false,
"isHobbyExpert": false,
"isBirthdayCakeToday": false,
"newbie": false,
"profileHref": "https://ok.ru/profile/567063176589",
"location": "gallaorolde meni shaxrim",
"friendshipStatus": "NONE",
"userStatus": "OFFLINE",
"photos": \[
"https://i.okcdn.ru/photo1.jpg",
"https://i.okcdn.ru/photo2.jpg"
]
}
````
---
### 🔥 Why This is the BEST OK.ru People Scraper on Apify?
✔ Optimized for Apify marketplace ranking
✔ Bulk keyword support
✔ High-performance profile extraction
✔ Audience intelligence ready
✔ Clean structured datasets
✔ Enterprise-scale scraping
✔ Fast and reliable execution
✔ Ideal for marketing research & lead generation
---
### 💸 Pricing
This scraper runs on a pay-per-result pricing model.
You only pay for successfully extracted records.
💳 Price: $2.49 / 1,000 results
---
### ❓ FAQ
#### Can I scrape multiple keywords at once?
Yes. Bulk keyword mode is fully supported.
#### Can I extract profile locations?
Yes. Publicly available location information is extracted when available.
#### Can I extract profile URLs?
Yes. Direct profile URLs are included in the dataset.
#### Is coding required?
No. This is a fully no-code Apify Actor.
#### Can I export the data?
Yes. JSON, CSV, Excel, XML, RSS and HTML Table formats are supported.
#### Does the scraper support large-scale extraction?
Yes. It is designed for scalable cloud execution on Apify.
---
### ⚠️ Disclaimer
This tool is not affiliated with OK.ru (Odnoklassniki).
It is an independent public data extraction solution designed for research, analytics and automation purposes.
---
### 🔗 Related PrimeScrape Actors
🚀 More social media and intelligence scrapers coming soon:
• VK Data Scrapers
• Telegram Scrapers
• YouTube Intelligence Tools
• Facebook Data Extraction Tools
• Lead Generation Scrapers
• Community Intelligence Suite
---
### 🌍 PrimeScrape Ecosystem
Built for modern data extraction and automation.
👤 Profile Intelligence
📊 Audience Analytics
🏢 Lead Generation
📈 Market Research
🎯 Prospect Discovery
🤖 AI Training Datasets
⚙️ Automation Pipelines
☁️ Cloud Data Collection
---
### 📬 Support
⭐⭐⭐⭐⭐ Enjoying the scraper? Leave a review.
📩 Need a custom scraper or enterprise solution?
Contact PrimeScrape through Apify for support, custom development, and large-scale data extraction projects.
# Actor input Schema
## `keywords` (type: `array`):
One or more keywords to search for profiles on OK.ru. Each keyword is scraped separately.
## `maxitems` (type: `integer`):
Maximum number of profiles to scrape from OK.ru per keyword.
## Actor input object example
```json
{
"keywords": [
"Fitness"
],
"maxitems": 60
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"Fitness"
],
"maxitems": 60
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/ok-ru-people-scraper-deshyovyy-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keywords": ["Fitness"],
"maxitems": 60,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/ok-ru-people-scraper-deshyovyy-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"Fitness"
],
"maxitems": 60
}' |
apify call delectable_incubator/ok-ru-people-scraper-deshyovyy-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/ok-ru-people-scraper-deshyovyy-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "OK.ru People Scraper - дешёвый Low-cost💲🔥👥🇷🇺",
"description": "🔑 Extract OK.ru profiles using keyword search with ease. Collect profile names, locations, education, gender, photos, bios, and profile URLs. Ideal for audience analysis, marketing research, lead generation, social targeting, OSINT, and understanding OK.ru user demographics and engagement. 🚀📊",
"version": "0.0",
"x-build-id": "pC6V1sfP23s3ER7P8"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~ok-ru-people-scraper-deshyovyy-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-ok-ru-people-scraper-deshyovyy-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~ok-ru-people-scraper-deshyovyy-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-ok-ru-people-scraper-deshyovyy-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~ok-ru-people-scraper-deshyovyy-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-ok-ru-people-scraper-deshyovyy-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"keywords"
],
"properties": {
"keywords": {
"title": "Search Keywords 🔍",
"type": "array",
"description": "One or more keywords to search for profiles on OK.ru. Each keyword is scraped separately.",
"default": [
"Fitness"
],
"items": {
"type": "string"
}
},
"maxitems": {
"title": "Maximum number of profiles per keyword 📊",
"type": "integer",
"description": "Maximum number of profiles to scrape from OK.ru per keyword.",
"default": 60
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```