Twitter (X) Scraper post (timeline / # / search / replies)
by scraping_solutions
๐ X (Twitter) Scraper โ Collect posts, timelines, hashtags, searches & replies with ease. Extract text, links & engagement, capture threads, and expor...
Opens on Apify.com
About Twitter (X) Scraper post (timeline / # / search / replies)
๐ X (Twitter) Scraper โ 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.
What does this actor do?
Twitter (X) Scraper post (timeline / # / search / replies) is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
๐ฆ 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. --- ## โจ Features - ๐ Extract posts with full details: text, links, and engagement (likes, retweets, replies, quotes). - ๐ Scrape timelines, hashtags, keyword searches, or replies. - ๐งต Capture conversation threads for deeper insights. - โก Fast performance with customizable limits. - ๐ Export results in JSON, CSV, or Apify datasets ready for analysis. --- ## ๐ฅ Input Example json { "Input_Search": [ "elonmusk" ], "TypeScraper": "timeline_users", "resultsLimit": 19 } - Input_Search โ keywords, hashtags, twwets id, or usernames to scrape. - TypeScraper โ choose between timeline_users, search, hashtags, replies. - resultsLimit โ number of posts to collect. --- ## ๐ค Output Example json [ { "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 } ] --- ## ๐ฏ Use Cases - ๐ Market research โ track conversations around a product or brand. - ๐ฅ Trend detection โ monitor hashtags in real-time. - ๐ฃ๏ธ Sentiment analysis โ collect replies and engagements for NLP models. - ๐ Competitive intelligence โ follow industry leaders or competitors. --- ## ๐ How to Run 1. Create a new Actor in Apify. 2. Upload the code and Dockerfile. 3. Set your input (search terms, type, results limit). 4. Run the Actor โ results will appear in your dataset (CSV, JSON, Excel). --- ## ๐ 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. --- ๐ Start scraping and turn X (Twitter) posts into insights today!
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Twitter (X) Scraper post (timeline / # / search / replies) now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- scraping_solutions
- Pricing
- Paid
- Total Runs
- 600
- Active Users
- 92
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