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🚀 X (Twitter) Scraper – 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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from $0.14 / 1,000 results

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🐦 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.

✨ Features

  • 📌 Extract posts with full details: text, links, and engagement (likes, retweets, replies, quotes).
  • 🔍 Scrape timelines, hashtags, keyword searches, or replies.
  • 🧵 Capture conversation threads for deeper insights.
  • ⚡ Fast performance with customizable limits.
  • 📊 Export results in JSON, CSV, or Apify datasets ready for analysis.

📥 Input Example

{
"Input_Search":[
"elonmusk"
],
"TypeScraper":"timeline_users",
"resultsLimit":19
}
  • Input_Search → keywords, hashtags, twwets id, or usernames to scrape.
  • TypeScraper → choose between timeline_users, search, hashtags, replies.
  • resultsLimit → number of posts to collect.

📤 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
}
]

🎯 Use Cases

  • 📊 Market research → track conversations around a product or brand.
  • 🔥 Trend detection → monitor hashtags in real-time.
  • 🗣️ Sentiment analysis → collect replies and engagements for NLP models.
  • 📈 Competitive intelligence → follow industry leaders or competitors.

🚀 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 → results will appear in your dataset (CSV, JSON, Excel).

🏆 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.

🔗 Start scraping and turn X (Twitter) posts into insights today!

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