Twitter (X) Scraper post (timeline / # / search / replies) avatar
Twitter (X) Scraper post (timeline / # / search / replies)

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Twitter (X) Scraper post (timeline / # / search / replies)

Twitter (X) Scraper post (timeline / # / search / replies)

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πŸš€ 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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Pricing

from $0.40 / 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

  • πŸ“Œ Extract posts with full details: text, links, and engagement (likes, retweets, replies, quotes).
  • πŸ” Scrape timelines, hashtags, keyword searches, or replies.
  • 🧡 Capture conversation threads for deeper insights.
  • ⚑ Fast performance with customizable limits.
  • πŸ“Š Export results in JSON, CSV, or Apify datasets ready for analysis.

πŸ“₯ 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.

πŸ“€ 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

  • πŸ“Š Market research β†’ track conversations around a product or brand.
  • πŸ”₯ Trend detection β†’ monitor hashtags in real-time.
  • πŸ—£οΈ Sentiment analysis β†’ collect replies and engagements for NLP models.
  • πŸ“ˆ Competitive intelligence β†’ follow industry leaders or competitors.

πŸš€ 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 β†’ results will appear in your dataset (CSV, JSON, Excel).

πŸ† 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.

πŸ”— Start scraping and turn X (Twitter) posts into insights today!