# Gab Posts Scraper π (`easyapi/gab-posts-scraper`) Actor
Extract and analyze posts from Gab.com by keywords. Get comprehensive post data including content, engagement metrics, author information, and media attachments. Perfect for social media monitoring, trend analysis, and research purposes. π
- **URL**: https://apify.com/easyapi/gab-posts-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media
- **Stats:** 17 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
$19.99/month + usage
To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors
## 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
## Gab Posts Scraper π
Scrape posts and user information from Gab.com based on search keywords.
### π― Features
- π Search and extract posts by keywords
- π₯ Collect detailed user information
- π Get engagement metrics (replies, favorites, quotes, etc.)
- π Extract shared links and media
- π Support for multiple keywords
- β‘ High-performance scraping with built-in delays
- π‘οΈ Proxy support for reliable data collection
### π Output Data
For each post, you'll get:
- Post content and creation time
- Post URL and unique ID
- Engagement metrics (replies, reblogs, favorites, quotes)
- Author information (username, followers, following count, etc.)
- Preview cards for shared links
- Media attachments
- Mentioned users and tags
### π‘ Use Cases
- Social media monitoring
- Content analysis
- User behavior research
- Trend tracking
- Engagement analysis
- Market research
- Opinion mining
### β οΈ Notes
- Respect Gab.com's terms of service and rate limits
- Consider using proxies for large-scale scraping
- Data availability may vary based on content visibility settings
### π§ Input Parameters
- `keywords`: Array of search terms to scrape
- `maxItems`: Maximum number of posts to collect (optional)
- `proxyConfiguration`: Proxy settings (optional)
#### Input Example
A full explanation of an input example in JSON.
```json
{
"keywords": [
"Elon Musk"
],
"maxItems": 30
}
````
#### Output sample
The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β 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": "Elon Musk",
"post_id": "114108192011354877",
"created_at": "2025-03-05T05:33:52.228Z",
"content": "https://dissenter.com/trend?url=https://www.washingtonexaminer.com/news/white-house/3337375/trump-shouts-out-elon-musk-doge-head-roaring-congressional-crowd/",
"url": "https://gab.com/keeco/posts/114108192011354877",
"direct_replies_count": 0,
"replies_count": 0,
"reblogs_count": 0,
"favourites_count": 0,
"quotes_count": 0,
"reactions_counts": {},
"language": null,
"author": {
"id": "756610",
"username": "keeco",
"display_name": "Prinz Keeco",
"followers_count": 3436,
"following_count": 3436,
"statuses_count": 79664,
"is_verified": false,
"is_pro": false,
"is_donor": false,
"avatar": "https://m3.gab.com/accounts/avatars/000/756/610/original/ad0f1ba3cae32c36.jpg"
},
"preview_card": {
"type": "link",
"url": "https://dissenter.com/trend?url=https://www.washingtonexaminer.com/news/white-house/3337375/trump-shouts-out-elon-musk-doge-head-roaring-congressional-crowd/",
"title": "Trump shouts out Musk as DOGE head to roaring congressional crowd - Washington Examiner | Trends",
"description": "Elon Musk was in the visitor gallery of the House chamber for the address as he leads Trump's DOGE efforts to cut waste and fraud in the federal government.",
"provider_name": "",
"image": "https://m3.gab.com/preview_cards/images/053/215/521/original/3a1e92ff77b1265b.webp"
},
"media_attachments": [],
"mentions": [],
"tags": []
},
...
]
```
### Related Actors
- π [Gab Groups Scraper](https://apify.com/easyapi/gab-groups-scraper) - Extract detailed information about Gab.com groups and social communities
- π [Gab People Search Scraper](https://apify.com/easyapi/gab-people-search-scraper) - Extract user profiles and detailed information from Gab.com search results
- ποΈ [Gab Marketplace Scraper](https://apify.com/easyapi/gab-marketplace-scraper) - Extract product listings and seller information from Gab Marketplace
- π [Reddit Posts Search Scraper](https://apify.com/easyapi/reddit-posts-search-scraper) - Extract Reddit posts from search results with rich metadata
- π¬ [Reddit Comments Search Scraper](https://apify.com/easyapi/reddit-comments-search-scraper) - Search and extract Reddit comments with advanced filtering options
- π [Reddit Trends Scraper](https://apify.com/easyapi/reddit-trends-scraper) - Extract trending posts and discussions from Reddit
- π± [Facebook Posts Search Scraper](https://apify.com/easyapi/facebook-posts-search-scraper) - Extract posts from Facebook search results with detailed information
- π± [Facebook Group Posts Scraper](https://apify.com/easyapi/facebook-group-posts-scraper) - Scrape posts from any public or private Facebook group
- π± [Instagram Posts Scraper](https://apify.com/easyapi/instagram-posts-scraper) - Extract comprehensive details from Instagram posts
- π₯ [TikTok Profile Posts Scraper](https://apify.com/easyapi/tiktok-profile-posts-scraper) - Extract comprehensive post data from TikTok user profiles
- π [Text Sentiment Analysis](https://apify.com/easyapi/text-sentiment-analysis) - Analyze the sentiment of text content with detailed reports
- π [Article Content Extractor](https://apify.com/easyapi/article-content-extractor) - Extract clean article content and metadata from web pages
- π± [Tumblr Posts Scraper](https://apify.com/easyapi/tumblr-posts-scraper) - Scrape blog posts with media content from Tumblr
- π [Bluesky Posts Search Scraper](https://apify.com/easyapi/bluesky-posts-search-scraper) - Extract posts and discussions from Bluesky social platform
- π― [Truth Social Scraper](https://apify.com/easyapi/truth-social-scraper) - Extract posts and engagement metrics from Truth Social accounts
# Actor input Schema
## `keywords` (type: `array`):
List of keywords to search for on Gab.com
## `maxItems` (type: `integer`):
Maximum number of posts to scrape (default: 100)
## `proxyConfiguration` (type: `object`):
Proxy settings for the scraper
## Actor input object example
```json
{
"keywords": [
"Elon Musk"
],
"maxItems": 30,
"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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/gab-posts-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 = {}
# Run the Actor and wait for it to finish
run = client.actor("easyapi/gab-posts-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{}' |
apify call easyapi/gab-posts-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=easyapi/gab-posts-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Gab Posts Scraper π",
"description": "Extract and analyze posts from Gab.com by keywords. Get comprehensive post data including content, engagement metrics, author information, and media attachments. Perfect for social media monitoring, trend analysis, and research purposes. π",
"version": "0.0",
"x-build-id": "5eGYa1at8y5JPgmp1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/easyapi~gab-posts-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-easyapi-gab-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/easyapi~gab-posts-scraper/runs": {
"post": {
"operationId": "runs-sync-easyapi-gab-posts-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/easyapi~gab-posts-scraper/run-sync": {
"post": {
"operationId": "run-sync-easyapi-gab-posts-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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"
],
"properties": {
"keywords": {
"title": "Search Keywords",
"uniqueItems": true,
"type": "array",
"description": "List of keywords to search for on Gab.com",
"default": [
"Elon Musk"
],
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Maximum Items",
"minimum": 1,
"type": "integer",
"description": "Maximum number of posts to scrape (default: 100)",
"default": 30
},
"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
}
}
}
}
}
}
}
}
}
}
```