
Gab Posts Scraper 🔍
6 hours trial then $19.99/month - No credit card required now

Gab Posts Scraper 🔍
6 hours trial then $19.99/month - No credit card required now
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. 🔍
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1 monthly user
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>99% runs succeeded
Created in Mar 2025
Modified 8 days ago
Scrape posts and user information from Gab.com based on search keywords.
🎯 Features
- 🔍 Search and extract posts by keywords
- 👥 Collect detailed user information
- 📊 Get engagement metrics (replies, favorites, quotes, etc.)
- 🔗 Extract shared links and media
- 🌐 Support for multiple keywords
- ⚡ High-performance scraping with built-in delays
- 🛡️ Proxy support for reliable data collection
📊 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
💡 Use Cases
- Social media monitoring
- Content analysis
- User behavior research
- Trend tracking
- Engagement analysis
- Market research
- Opinion mining
⚠️ 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
🔧 Input Parameters
keywords
: Array of search terms to scrapemaxItems
: Maximum number of posts to collect (optional)proxyConfiguration
: Proxy settings (optional)
Input Example
A full explanation of an input example in JSON.
1{ 2 "keywords": [ 3 "Elon Musk" 4 ], 5 "maxItems": 30 6}
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.
1[ 2 { 3 "keyword": "Elon Musk", 4 "post_id": "114108192011354877", 5 "created_at": "2025-03-05T05:33:52.228Z", 6 "content": "<a href=\"https://dissenter.com/trend?url=https://www.washingtonexaminer.com/news/white-house/3337375/trump-shouts-out-elon-musk-doge-head-roaring-congressional-crowd/\" rel=\"nofollow noopener\" target=\"_blank\"><span class=\"invisible\">https://</span>dissenter.com/trend?url=https://www.washingto<span class=\"invisible\">nexaminer.com/news/white-house/3337375/trump-shouts-out-elon-musk-doge-head-roaring-congressional-crowd/</span><span class=\"ellipsis\"></span></a>", 7 "url": "https://gab.com/keeco/posts/114108192011354877", 8 "direct_replies_count": 0, 9 "replies_count": 0, 10 "reblogs_count": 0, 11 "favourites_count": 0, 12 "quotes_count": 0, 13 "reactions_counts": {}, 14 "language": null, 15 "author": { 16 "id": "756610", 17 "username": "keeco", 18 "display_name": "Prinz Keeco", 19 "followers_count": 3436, 20 "following_count": 3436, 21 "statuses_count": 79664, 22 "is_verified": false, 23 "is_pro": false, 24 "is_donor": false, 25 "avatar": "https://m3.gab.com/accounts/avatars/000/756/610/original/ad0f1ba3cae32c36.jpg" 26 }, 27 "preview_card": { 28 "type": "link", 29 "url": "https://dissenter.com/trend?url=https://www.washingtonexaminer.com/news/white-house/3337375/trump-shouts-out-elon-musk-doge-head-roaring-congressional-crowd/", 30 "title": "Trump shouts out Musk as DOGE head to roaring congressional crowd - Washington Examiner | Trends", 31 "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.", 32 "provider_name": "", 33 "image": "https://m3.gab.com/preview_cards/images/053/215/521/original/3a1e92ff77b1265b.webp" 34 }, 35 "media_attachments": [], 36 "mentions": [], 37 "tags": [] 38 }, 39 ... 40]
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