X.com (Twitter) Post Scraper | No Auth Needed avatar

X.com (Twitter) Post Scraper | No Auth Needed

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from $8.00 / 1,000 results

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X.com (Twitter) Post Scraper | No Auth Needed

X.com (Twitter) Post Scraper | No Auth Needed

Extract up to 100 tweets from any X.com (Twitter) user. Fast, reliable GraphQL-based scraper delivers full tweet metadata, engagement metrics, media attachments, and author information. Perfect for monitoring user activity, content analysis, and social media research. No login required.

Pricing

from $8.00 / 1,000 results

Rating

5.0

(3)

Developer

ParseForge

ParseForge

Maintained by Community

Actor stats

7

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319

Total users

143

Monthly active users

11 days ago

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🐦 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.

🕒 Last updated: 2026-04-21 · 📊 40+ fields per tweet · 🐦 Public profiles supported · 🔍 Search filtering available · 🚫 No auth required

🖼️
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 strategistsBrand 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.


🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.


⚙️ Input

InputTypeDefaultBehavior
maxItemsinteger10Max tweets to collect. Free plan caps at 10, paid plan at 1,000,000.
startUrlsarray[]Direct tweet or profile URLs. Mutually exclusive with search filters.
usernamesarray["elonmusk"]List of X.com handles without the @. Required when using searchQuery.
searchQuerystring""Keyword filter applied to tweets from the listed usernames.
proxyConfigurationobjectApify residentialResidential proxy recommended for higher success rates.

Example: scrape a single tweet by URL.

{
"startUrls": [
{ "url": "https://x.com/elonmusk/status/2011487752345338275" }
],
"maxItems": 10
}

Example: pull recent tweets from two profiles filtered by keyword.

{
"usernames": ["elonmusk", "sama"],
"searchQuery": "ai",
"maxItems": 50
}

⚠️ 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.


📊 Output

Each tweet record contains 40+ fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

FieldTypeExample
🆔 idstring"2011487752345338275"
🔗 urlstring"https://x.com/elonmusk/status/2011487..."
📝 textstring"Interesting announcement today..."
📄 fullTextstring"..."
📅 createdAtstring"Wed Jan 14 17:17:06 +0000 2026"
🌐 langstring"en"
💚 likeCountnumber39144
🔁 retweetCountnumber6750
💬 replyCountnumber3042
💬 quoteCountnumber277
🔖 bookmarkCountnumber1419
↩️ isReplybooleanfalse
🔁 isRetweetbooleanfalse
💬 isQuotebooleantrue
📌 isPinnedbooleanfalse
🧵 conversationIdstring"2011487752345338275"
↩️ inReplyToIdstring | nullnull
↩️ inReplyToUsernamestring | nullnull
👤 author.userNamestring"elonmusk"
🏷️ author.namestring"Elon Musk"
author.isBlueVerifiedbooleantrue
👥 author.followersnumber232147630
🖼️ author.profilePicturestring"https://pbs.twimg.com/..."
📍 author.locationstring"Location"
📝 author.descriptionstring"User bio"
🎬 mediaarray[{ type, url, expandedUrl }]
#️⃣ entities.hashtagsarray[]
🔗 entities.urlsarray[]
@ entities.user_mentionsarray[]
🕒 scrapedTimestampISO 8601"2026-04-16T00:00:00.000Z"

📦 Sample records


✨ Why choose this Actor

Capability
🐦Public profile coverage. Any public X.com handle can be scraped by URL or username.
🎯Three input modes. Direct URLs, user timelines, and keyword search within profiles.
📈Full engagement metrics. Likes, retweets, replies, quotes, and bookmarks per tweet.
Fast. Ten tweets return in a few seconds, a full 100-tweet timeline in well under a minute.
🎬Media and context. Image and video attachments, hashtags, mentions, and conversation thread IDs.
👤Rich author metadata. Username, display name, bio, follower count, verification status, profile picture.
🚫No authentication. Uses X.com's public guest token. No login, no credentials, no API keys.

📊 Social listening is now a core marketing function. Having clean, structured tweet data on demand is the foundation for every monitoring, sentiment, and engagement workflow.


📈 How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ X.com Tweets Scraper (this Actor)$5 free credit, then pay-per-useAny public handleLive per runURLs, usernames, search query⚡ 2 min
Official X.com Enterprise APIPaid, enterprise tierFull firehoseStreamingMany🐢 Weeks of onboarding
Free developer API tiersFree with hard rate limitsMinimalThrottledLimited⏳ Hours
Manual browser scrapingEngineering timeManualN/AManual🕒 Variable

Pick this Actor when you want public tweet data on demand, without negotiating enterprise API access or maintaining a scraping pipeline.


🚀 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.


💼 Business use cases

📣 Marketing & Brand Teams

  • Track brand mentions across competitor handles
  • Monitor sentiment on product launches
  • Benchmark engagement against industry peers
  • Identify high-reach posts for reshare campaigns

📊 Market Research & Analytics

  • Build longitudinal engagement datasets
  • Pull public discussions around earnings or launches
  • Cross-reference tweet timing with news events
  • Feed dashboards with ready-to-import tweet data

🎨 Content Creators & Strategists

  • Research trending topics in a niche
  • Analyze viral structure from top-performing posts
  • Track follower and verification growth over time
  • Pull hashtag and mention networks

🎓 Academic & Journalism

  • Public-discourse datasets for research projects
  • Timeline reconstruction around news events
  • Citation-friendly structured exports with tweet IDs
  • Reproducible data pulls for published studies


🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia

  • Empirical datasets for papers, thesis work, and coursework
  • Longitudinal studies tracking changes across snapshots
  • Reproducible research with cited, versioned data pulls
  • Classroom exercises on data analysis and ethical scraping

🎨 Personal and creative

  • Side projects, portfolio demos, and indie app launches
  • Data visualizations, dashboards, and infographics
  • Content research for bloggers, YouTubers, and podcasters
  • Hobbyist collections and personal trackers

🤝 Non-profit and civic

  • Transparency reporting and accountability projects
  • Advocacy campaigns backed by public-interest data
  • Community-run databases for local issues
  • Investigative journalism on public records

🧪 Experimentation

  • Prototype AI and machine-learning pipelines with real data
  • Validate product-market hypotheses before engineering spend
  • Train small domain-specific models on niche corpora
  • Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

❓ Frequently Asked Questions


🔌 Automating X.com Tweets Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

  • 🟢 Node.js. Install the apify-client NPM package.
  • 🐍 Python. Use the apify-client PyPI package.
  • 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Hourly or daily pulls keep downstream mention-tracking dashboards in sync automatically.

🔌 Integrate with any app

X.com Tweets Scraper connects to any cloud service via Apify integrations:

  • Make - Automate multi-step workflows
  • Zapier - Connect with 5,000+ apps
  • Slack - Get run notifications in your channels
  • Airbyte - Pipe tweet data into your warehouse
  • GitHub - Trigger runs from commits and releases
  • Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh mentions into your brand-monitoring dashboard, or alert your team in Slack.


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


🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.


⚠️ 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.