Pricing

Rating

Developer

Actor stats

Categories

Share

👁 ParseForge Banner

🐦 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

🎁 Paid plan adds

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.

📋 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

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

📦 Sample records

✨ Why choose this Actor

📊 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

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

🌟 Beyond business use cases

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

🤖 Ask an AI assistant about this scraper

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

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

💳 Do I need a paid Apify plan to run this actor?

No. You can start right now on the free Apify plan, which includes $5 in free monthly credit. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. Create a free Apify account here to get started.

🚨 What happens if my run fails or returns no results?

Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our contact form and we will investigate. You can also check the run log in the Apify console to see why the run stopped.

📏 How many items can I scrape per run?

Free users are limited to 10 items per run so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to 1,000,000 per run. Upgrade here if you need full scale.

🕒 How fresh is the data?

Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.

🧑‍💻 Can I call this actor from my own code?

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.

📤 How do I export the data?

Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream them into BigQuery, S3, and other destinations through built-in integrations.

📅 Can I schedule the actor to run automatically?

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.

🔌 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.

🔗 Recommended Actors

• 📰 PR Newswire Scraper - Press releases and news articles for media monitoring
• 📸 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.

🆘 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.