
Twitter (X) Scraper post (timeline / # / search / replies)
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Twitter (X) Scraper post (timeline / # / search / replies)
π X (Twitter) Scraper β Collect posts, timelines, hashtags, searches & replies with ease. Extract text, links & engagement, capture threads, and export to CSV/JSON. Perfect for market research, sentiment analysis & trend tracking.
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Pricing
from $0.40 / 1,000 results
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Last modified
4 hours ago
π¦ X (Twitter) Post Scraper
Collect real-time posts, timelines, hashtags, searches, and replies from Twitter (X) with speed and accuracy.
Perfect for market research, sentiment analysis, trend tracking, and brand monitoring.
β¨ Features
- π Extract posts with full details: text, links, and engagement (likes, retweets, replies, quotes).
- π Scrape timelines, hashtags, keyword searches, or replies.
- π§΅ Capture conversation threads for deeper insights.
- β‘ Fast performance with customizable limits.
- π Export results in JSON, CSV, or Apify datasets ready for analysis.
π₯ Input Example
{"Input_Search": ["elonmusk"],"TypeScraper": "timeline_users","resultsLimit": 19}
- Input_Search β keywords, hashtags, twwets id, or usernames to scrape.
- TypeScraper β choose between
timeline_users
,search
,hashtags
,replies
. - resultsLimit β number of posts to collect.
π€ Output Example
[{"type": "timeline_users","link_post": "https://x.com/elonmusk/status/1957668936335651087","retweet_count": 20,"reply_count": 54,"favorite_count": 180,"quote_count": 3,"timestamp": 1755579620,"source": "Twitter for iPhone","text": "@daniel_flesch @GadSaad @ShirionOrg Wow, a majority in Vienna!","creation_date": "Tue Aug 19 05:00:20 +0000 2025","link_user": "https://x.com/elonmusk","user.full_name": "Elon Musk","user.id": "44196397","user.is_private": false,"user.is_verified": false,"user.profile_pic_url": null}]
π― Use Cases
- π Market research β track conversations around a product or brand.
- π₯ Trend detection β monitor hashtags in real-time.
- π£οΈ Sentiment analysis β collect replies and engagements for NLP models.
- π Competitive intelligence β follow industry leaders or competitors.
π How to Run
- Create a new Actor in Apify.
- Upload the code and Dockerfile.
- Set your input (search terms, type, results limit).
- Run the Actor β results will appear in your dataset (CSV, JSON, Excel).
π Why This Scraper?
Unlike generic scrapers, this Actor is optimized for Twitter (X):
- Accurate post-level engagement metrics.
- Flexible modes (timeline, hashtag, search, replies).
- Export-ready datasets for analysis.
- Easy integration into workflows and APIs.
π Start scraping and turn X (Twitter) posts into insights today!