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
Scrape posts and user information from Gab.com based on search keywords.
For each post, you'll get:
keywords
: Array of search terms to scrapemaxItems
: Maximum number of posts to collect (optional)proxyConfiguration
: Proxy settings (optional)A full explanation of an input example in JSON.
1{ 2 "keywords": [ 3 "Elon Musk" 4 ], 5 "maxItems": 30 6}
The results will be wrapped into a dataset which you can always find in theΒ StorageΒ 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]
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool β just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youβll be guided to input a search term and get structured results. No setup needed!