# VK Posts Scraper 🔍 (`easyapi/vk-posts-scraper`) Actor
Extract posts and images from VK (VKontakte) social network based on keywords. Get detailed post data including author info, publication date, images, likes, views and more. Perfect for social media monitoring and market research.
- **URL**: https://apify.com/easyapi/vk-posts-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media
- **Stats:** 231 total users, 39 monthly users, 81.0% runs succeeded, 7 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
from $4.99 / 1,000 results
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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
## VK Posts Scraper 🔍
Extract posts and related data from VK (VKontakte), the largest Russian social network. This actor helps you collect posts matching specific keywords along with comprehensive metadata.
### Features ✨
- 🔎 Search posts by keywords
- 📊 Extract detailed post information:
- Post content and text
- Author details (name, profile link, avatar)
- Publication date
- Engagement metrics (likes, views, reposts)
- High-quality images in multiple sizes
- Post ID and links
- ⚡ Fast and efficient scraping
- 🔄 Automatic pagination handling
- 🛡️ Built-in request management and rate limiting
- 📱 Mobile-friendly image URLs included
### Use Cases 💡
- Social media monitoring
- Market research and trend analysis
- Brand mentions tracking
- Competition analysis
- Content aggregation
- Visual content collection
- Influencer research
### Input Parameters 📝
- `keywords` (Array): List of keywords to search for
- `maxItems` (Integer): Maximum number of posts to collect (default: 100)
### Output 📋
The actor outputs detailed JSON data for each post, including:
- Basic post information
- Author details
- Publication timestamps
- Image URLs in various sizes
- Engagement metrics
- Post content and text
- Technical metadata
### Tips 💡
- Use specific keywords for better results
- Combine multiple keywords for broader coverage
- Monitor rate limits for large-scale scraping
- Consider using proxy for high-volume collection
Need help or custom solutions? Feel free to reach out!
#### Input Example
A full explanation of an input example in JSON.
````
{
"keywords": \[
"fashion"
],
"maxItems": 20
}
````
#### Output sample
The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:
And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.
```json
[
{
"keyword": "fashion",
"postId": "-221514406_251",
"author": {
"name": "Fashion Oreginal |Одежда и Обувь",
"link": "https://vk.com/waum.store",
"id": "-221514406",
"avatar": "https://sun6-21.userapi.com/s/v1/ig2/YnC0IOhe1sbXbcOBIzpZ7TST_rJTT3WHn0Z9gGnlH81ZsoXAtvoOOdi-nYK10xwXyXnvthvcNjKN6wMROCH1ZzA2.jpg?quality=95&crop=177,39,676,676&as=32x32,48x48,72x72,108x108,160x160,240x240,360x360,480x480,540x540,640x640&ava=1&u=UADUsCqNjv-Xrw1LHX5AiWHiIkQKnJ6Z6zQ4jhNmBNQ&cs=100x100"
},
"postItem": {
"inner_type": "wall_wallpost",
"donut": {
"is_donut": false
},
"comments": {
"count": 0
},
"marked_as_ads": 0,
"compact_attachments_before_cut": 0,
"type": "post",
"carousel_offset": 0,
"attachments": [
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"photo": {
"album_id": -7,
"date": 1737079567,
"id": 457240888,
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"url": "https://sun9-56.userapi.com/s/v1/ig2/0oS6xBUOIUtuQ8P1EvR5ak_dOAI1jCZ868UNnebYzS32dS38a814clTJeeX3TipUAuWON_HfAPQv4ghEbRX26woy.jpg?quality=95&as=32x43,48x64,72x96,108x144,160x213,240x320,360x480,480x640,540x720,640x853,720x960,1080x1440,1125x1500&from=bu&u=m3ko_fKTrgAEEZ0LsZkmdGa2LGlQfteKFGWASa1fBFI",
"width": 1125
}
},
"style": "full"
}
],
"attachments_meta": {
"primary_mode": "grid",
"carousel_ratio": 0.75,
"ratio": 0.75
},
"date": 1737079567,
"from_id": -221514406,
"header": {
"photo": {
"source_id": -221514406
},
"title": {
"source_id": -221514406
},
"descriptions": []
},
"id": 251,
"is_favorite": false,
"likes": {
"can_like": 0,
"count": 0,
"user_likes": 0
},
"reaction_set_id": "reactions",
"owner_id": -221514406,
"post_type": "post",
"reposts": {
"count": 0
},
"text": "Новое поступление 🌟🔝
Ботинки, эко-кожа
Качества Люкс
Размеры 36-37-38
Цена: 2100₽",
"views": {
"count": 1
},
"copy_history": null
},
"postDate": "2025-01-17T02:06:07.000Z",
"scrapedAt": "2025-01-17T02:07:11.747Z"
},
...
]
````
### Related Actors
- 🔍 [VK People Scraper](https://apify.com/easyapi/vk-people-scraper) - Extract detailed user profiles from VK social network based on keywords
- 🎥 [VK Video Scraper](https://apify.com/easyapi/vk-video-scraper) - Scrape video search results from VK including video details and metadata
- 🎮 [VK Games Search Scraper](https://apify.com/easyapi/vk-games-search-scraper) - Extract comprehensive game information from VK.com games platform
- 🛍️ [VK Market Search Scraper](https://apify.com/easyapi/vk-market-search-scraper) - Scrape marketplace listings with product information and seller details
- 🎥 [VK Clips Search Scraper](https://apify.com/easyapi/vk-clips-search-scraper) - Extract short videos with engagement metrics and download links
- 🎥 [VK Videos Search Scraper](https://apify.com/easyapi/vk-videos-search-scraper) - Get comprehensive video data with advanced filtering options
- 📹 [VK Video Profile Scraper](https://apify.com/easyapi/vk-video-profile-scraper) - Scrape video profiles and groups data including statistics
- 🚀 [VK Follower Scraper](https://apify.com/easyapi/vk-follower-scraper) - Extract group/profile followers data with user details
- 📱 [Facebook Posts Search Scraper](https://apify.com/easyapi/facebook-posts-search-scraper) - Extract posts from Facebook search results with detailed metrics
- 📱 [Facebook Group Posts Scraper](https://apify.com/easyapi/facebook-group-posts-scraper) - Scrape posts from any public or private Facebook group
- 🔍 [Reddit Posts Search Scraper](https://apify.com/easyapi/reddit-posts-search-scraper) - Extract Reddit posts with comprehensive metadata
- 📱 [Instagram Posts Scraper](https://apify.com/easyapi/instagram-posts-scraper) - Extract Instagram posts data with likes, comments and hashtags
- 🔍 [Gab Posts Scraper](https://apify.com/easyapi/gab-posts-scraper) - Extract posts from Gab.com with engagement metrics
- 📱 [Tumblr Posts Scraper](https://apify.com/easyapi/tumblr-posts-scraper) - Scrape blog posts with media content and engagement metrics
- 📚 [Substack Posts Scraper](https://apify.com/easyapi/substack-posts-scraper) - Extract comprehensive post data from Substack publications
# Actor input Schema
## `keywords` (type: `array`):
List of keywords to search for posts
## `maxItems` (type: `integer`):
Maximum number of posts to collect
## `proxyConfiguration` (type: `object`):
Proxy settings for the scraper
## Actor input object example
```json
{
"keywords": [
"fashion"
],
"maxItems": 10,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# 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": [
"fashion"
],
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/vk-posts-scraper").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": ["fashion"],
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("easyapi/vk-posts-scraper").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": [
"fashion"
],
"maxItems": 10
}' |
apify call easyapi/vk-posts-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=easyapi/vk-posts-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "VK Posts Scraper 🔍",
"description": "Extract posts and images from VK (VKontakte) social network based on keywords. Get detailed post data including author info, publication date, images, likes, views and more. Perfect for social media monitoring and market research.",
"version": "0.0",
"x-build-id": "Cg1f98rA2HBrgsQn5"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/easyapi~vk-posts-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-easyapi-vk-posts-scraper",
"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/easyapi~vk-posts-scraper/runs": {
"post": {
"operationId": "runs-sync-easyapi-vk-posts-scraper",
"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/easyapi~vk-posts-scraper/run-sync": {
"post": {
"operationId": "run-sync-easyapi-vk-posts-scraper",
"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",
"maxItems"
],
"properties": {
"keywords": {
"title": "Search Keywords",
"uniqueItems": true,
"type": "array",
"description": "List of keywords to search for posts",
"default": [
"fashion"
],
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Maximum Items",
"minimum": 10,
"maximum": 10000,
"type": "integer",
"description": "Maximum number of posts to collect",
"default": 20
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings for the scraper",
"default": {
"useApifyProxy": false
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```