🐦 X.com (Twitter) Tweets Scraper

🚀 Export tweets from X.com in seconds. Pull up to 100 recent tweets from any public profile, by direct URL or by username. No API key, no login, no manual scrolling.

🎁 Paid plan adds

🖼️ Full media

💬 Quoted tweets

🧵 Thread context

👁️ Impression counts

The X.com Tweets Scraper extracts tweet data from any public X.com profile, including tweet text, author details, engagement metrics, media attachments, and conversation context. Each record returns 40+ fields per tweet, so downstream teams can run content analysis, monitor brand mentions, or track engagement trends without manually scrolling profiles.

The scraper supports three input modes: direct tweet URLs, user profile URLs, and a search query scoped to one or more usernames. Because X.com rate-limits heavily and caps guest-token responses, runs return up to around 100 tweets per profile in a single pass. Run the Actor multiple times, or schedule recurring pulls, to build a complete archive over time.

🎯 Target Audience	💡 Primary Use Cases
Marketing and brand teams, market researchers, data analysts, social-listening platforms, journalists, academic researchers, content strategists	Brand mention tracking, sentiment monitoring, competitor activity, content research, engagement analytics, social-listening dashboards

📋 What the X.com Tweets Scraper does

Three input modes in a single Actor:

• 🔗 Direct URL mode. Paste tweet URLs like https://x.com/username/status/1234567890 or profile URLs like https://x.com/username and the scraper pulls each one.
• 👤 Username timeline mode. Provide a list of handles (without the @) to pull recent tweets from each user's timeline.
• 🔍 Search filter mode. Combine a list of usernames with a searchQuery text filter to narrow down tweets by keyword within those profiles.

Each tweet record includes full text and engagement (likes, retweets, replies, quotes, bookmarks), author metadata (username, verification status, followers, profile picture), media attachments (images, videos), timestamps, language, reply and conversation context, and a normalized tweetUrl for cross-linking.

💡 Why it matters: manually tracking brand mentions or competitor posts across X.com burns hours of analyst time every week. This Actor collects clean structured tweet data on demand, ready for CSV export, CRM upload, or dashboard ingestion.

⚠️ Good to Know: X.com's public guest-token API caps responses around 100 tweets per user timeline. This is a limit of the X.com platform, not the Actor. To build a deeper archive, run the scraper on a recurring schedule and append to the same dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the X.com Tweets Scraper page on the Apify Store.
3. 🎯 Set input. Paste tweet or profile URLs, or provide a list of usernames with an optional search query, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

🔗 Recommended Actors

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• 📸 Instagram Posts Scraper - Posts, captions, and engagement from public Instagram profiles
• 👤 Instagram Profile Scraper - Bio, follower counts, verification status, and profile metadata
• #️⃣ Instagram Hashtag Analytics Scraper - Top and recent posts plus volume stats per hashtag
• 💼 HubSpot Marketplace Scraper - Business app data for market research and competitive analysis

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

How to enable MCP enrichment

Inside the input form, scroll to the ✨ Enrichment section.

1. Toggle on the Enrich Output checkbox.
2. Pick a connector. Two options are pre-configured:
   • For B2B author enrichment, click +, paste https://mcp.apollo.io/mcp, and sign in via OAuth.
   • For cross-platform topic momentum, click +, paste https://api.trendsmcp.ai/mcp, and paste your bearer token from trendsmcp.ai.
3. The actor auto-detects which connector you picked and uses the matching enrichment path. For Apollo, each tweet's author display name resolves to a company profile (cached per handle). For Trends, the actor pre-fetches momentum data for your searchQuery and usernames once at startup, then applies it to every tweet.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by X.com, X Corp, or any of their subsidiaries. All trademarks mentioned are the property of their respective owners. Only publicly available tweet data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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