# OK.ru Groups Scraper - дешёвый Low-cost💲🔥🔑🇷🇺 (`delectable_incubator/ok-ru-groups-scraper-deshyovyy-low-cost`) Actor
🔑 Extract OK.ru groups by keyword with ease. Collect group names, member counts, group URLs, images, descriptions, categories, and official status. Ideal for audience research, trend analysis, community monitoring, competitor tracking, marketing insights, and social network intelligence. 👥📊🔗
- **URL**: https://apify.com/delectable\_incubator/ok-ru-groups-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 Groups Scraper 🔍 | Bulk Odnoklassniki Group Scraper | Apify Actor
### 🚀 Extract OK.ru Groups by Keyword in Seconds (No Code)
The **OK.ru Groups Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized data extraction tool that allows you to **scrape public Odnoklassniki (OK.ru) groups in bulk using keywords**.
Extract community data, participant counts, official group indicators, group URLs, images, and subscription metadata for market research, trend discovery, audience analysis, competitor monitoring, and lead generation.
---
### 🔥 Why This OK.ru Groups Scraper?
✔ Best OK.ru group scraper on Apify
✔ Supports **Bulk Keyword Scraping (Multi-Search)**
✔ Fast & scalable extraction engine
✔ Extract thousands of groups automatically
✔ Clean structured JSON / CSV / Excel output
✔ Perfect for community intelligence & trend analysis
✔ No coding required
✔ Cloud-based Apify Actor
---
### 🎯 What This Scraper Does
This actor searches Odnoklassniki (OK.ru) groups using one or multiple keywords and extracts structured public group information.
#### 📌 Core Features
✅ Scrape OK.ru groups by keyword
✅ Bulk keyword support (SEO BOOST 🚀)
✅ Extract participant counts
✅ Extract group URLs
✅ Extract group IDs
✅ Extract group images
✅ Detect official groups
✅ Extract subscription metadata
✅ Automatic pagination handling
✅ High-speed extraction engine
✅ Export-ready datasets
---
### ⚡ Input Configuration
#### 🔥 BULK KEYWORD MODE (Recommended)
````
{
"keywords": \[
"fitness",
"health",
"yoga",
"weight loss",
"nutrition",
"bodybuilding"
],
"max\_items": 500
}
```
---
### 📊 Extracted Group Data
| Field | Description |
| -------------------------- | ------------------------------ |
| group_id | Unique Group ID |
| name | Group Name |
| url | Group URL |
| image | Group Image URL |
| image_alt | Group Image Alt Text |
| participants | Number of Participants |
| subscribe_tsid | Subscription Button Identifier |
| subscribe_login_layer_text | Login Prompt Text |
| subscribe_state_params | Subscription Parameters |
| official | Official Group Status |
---
### 💡 Use Cases
This scraper is ideal for:
📈 Trend Analysis
📊 Competitor Monitoring
🔍 Community Discovery
💡 Marketing Intelligence
🏘 Audience Research
🎯 Niche Community Mapping
📡 Social Media Intelligence
🤖 AI Training Datasets
📊 Consumer Interest Analysis
🏢 Brand Monitoring
---
### 🚀 Key Features
⚡ Bulk keyword scraping support
🔎 Public OK.ru group discovery
📌 Smart pagination system
🧠 Structured output format
📊 High-speed extraction engine
🔁 Automatic retry handling
💾 Export-ready datasets
☁️ Cloud execution on Apify
📈 SEO & research friendly
---
### 📤 Supported Export Formats
✔ JSON
✔ CSV
✔ Excel XLSX
✔ XML
✔ RSS
✔ HTML Table
---
### 📦 Example Output
```
{
"group\_id": "54142623875170",
"name": "BBC News Russian - Русская служба Би-би-си Ньюз",
"url": "https://ok.ru/bbcrussian",
"image": "https://i.okcdn.ru/example.jpg",
"image\_alt": "BBC News Russian - Русская служба Би-би-си Ньюз",
"participants": "286K участников",
"subscribe\_tsid": "anonym-join-group-button\_button\_3af980",
"subscribe\_login\_layer\_text": "Чтобы подробнее узнать о группе BBC News Russian - Русская служба Би-би-си Ньюз вам нужно быть авторизованным пользователем",
"subscribe\_state\_params": "{"stateId":"anonymGroupCatalog"}",
"official": "Yes"
}
```
---
### 🔥 Why This is the BEST OK.ru Groups Scraper on Apify?
✔ Optimized for Apify marketplace ranking
✔ Bulk keyword support
✔ High-performance extraction engine
✔ Community intelligence ready
✔ Clean structured datasets
✔ Enterprise-scale scraping
✔ Fast and reliable execution
✔ Ideal for market research & audience analysis
---
### 💸 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 participant counts?
Yes. The scraper extracts available group participant information.
#### Can I identify official groups?
Yes. Official groups are automatically detected when available.
#### 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 handle pagination?
Yes. Results are automatically collected across pages.
---
### ⚠️ 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.
Users are responsible for complying with applicable laws, regulations and platform terms.
---
### 🔗 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.
📊 Social Media Intelligence
👥 Community Analytics
📈 Market Research
🏢 Brand Monitoring
🎯 Lead Generation
🤖 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 groups on OK.ru. Each keyword is scraped separately.
## `maxitems` (type: `integer`):
Maximum number of groups to scrape from OK.ru per keyword.
## Actor input object example
```json
{
"keywords": [
"Beauty"
],
"maxitems": 80
}
````
# 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": [
"Beauty"
],
"maxitems": 80
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/ok-ru-groups-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": ["Beauty"],
"maxitems": 80,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/ok-ru-groups-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": [
"Beauty"
],
"maxitems": 80
}' |
apify call delectable_incubator/ok-ru-groups-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-groups-scraper-deshyovyy-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "OK.ru Groups Scraper - дешёвый Low-cost💲🔥🔑🇷🇺",
"description": "🔑 Extract OK.ru groups by keyword with ease. Collect group names, member counts, group URLs, images, descriptions, categories, and official status. Ideal for audience research, trend analysis, community monitoring, competitor tracking, marketing insights, and social network intelligence. 👥📊🔗",
"version": "0.0",
"x-build-id": "mJgeeG3ceMdSclnLQ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~ok-ru-groups-scraper-deshyovyy-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-ok-ru-groups-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~ok-ru-groups-scraper-deshyovyy-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-ok-ru-groups-scraper-deshyovyy-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~ok-ru-groups-scraper-deshyovyy-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-ok-ru-groups-scraper-deshyovyy-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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 groups on OK.ru. Each keyword is scraped separately.",
"default": [
"Beauty"
],
"items": {
"type": "string"
}
},
"maxitems": {
"title": "Maximum number of Groups per keyword 📊",
"type": "integer",
"description": "Maximum number of groups to scrape from OK.ru per keyword.",
"default": 80
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```