Twitter (X) Tweets Scraper Scraper

A Twitter Tweets Scraper helps you extract tweets, media, engagement stats, and author details from public Twitter/X Tweets at scale. Whether you're using an Apify Twitter post scraper, a Python script, or a GitHub tool, it streamlines Twitter post scraping for research, analytics, and automation—making data collection faster, cleaner, and far more efficient.

🌟 What does Twitter Tweets Scraper do?

A Twitter Tweets Scraper (also known as a Twitter tweet scraper, X Twitter scraper, or Twitter post scraper API) lets you automatically extract public tweet data from Twitter/X. It captures post text, media, timestamps, engagement metrics, author info, and more—perfect for analysis, reporting, or automation.

This tool is essential for researchers, developers, and marketers who need fast, structured tweet data without manual copying. Whether you rely on Twitter Tweets scraper GitHub, Twitter scraper Python, or Apify Twitter post scraper, it provides a streamlined way to scrape Twitter Tweets while maintaining accuracy and scalability.

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📦 What Twitter Tweets Scraper Can Extract?

Below is an organized table of all the data types your Twitter Tweets Scraper can retrieve.

📊 Extractable Tweet Data

Data Type	Description
Post Text	Full text of the tweet
Post URL	Direct link to the tweet
Timestamp	Exact posting time
Author Name / Handle	Profile details of the tweet owner
Followers / Following	Author’s audience metrics
Engagement Stats	Likes, replies, quotes, reTweets
Media (images/videos/GIFs)	Extracted attachments
Hashtags & Mentions	Structured keyword data
Views Count	Total post impressions
Quoted / Replied Post Data	Contextual conversation info
Tagged Users	Any user tagged in the post
Profile Image Link	Author’s profile photo
Bookmarks	Bookmark count when available

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✨ Key Features of Twitter Tweets Scraper

A modern Twitter Tweets Scraper delivers far more than simple text extraction. Below are its standout features:

⭐ Feature Highlights

• 🔍 Full Tweet Extraction — Capture text, media, links, and engagement data from any public tweet.

• 🧵 Quoted & Replied Post Detection — Extract context-rich conversation threads automatically.

• ⚙️ Bulk Scraping Support — Add thousands of tweet URLs for large-scale research or monitoring.

• 📸 Media-Aware Processing — Works seamlessly with images, GIFs, and videos.

• 💾 Flexible Export — Download results in JSON, CSV, or Excel formats.

• 🔁 Automatic Retry System — Handles timeouts and network errors without losing your progress.

• 🚨 Resurrection for Failed Runs — Continue scraping from the last checkpoint after interruptions.

• 🧩 Integrations-Ready — Works smoothly with APIs, automation workflows, CRMs, and analytics tools.

• 🧪 Developer Friendly — Perfect for Twitter scraper Python, GitHub-based scrapers, or automation apps.

• 🔒 Proxy Support — Helps you stay within rate limits and reduces blocking.

• 🖥️ Multi-Platform Options — Use it via Apify UI, API, browser plugins, or Twitter scraper Chrome extensions.

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🛠️ How to Use Twitter Tweets Scraper

Here’s a simple, user-friendly step-by-step process to run your scraper.

📘 Step-by-Step Guide

1. Log in to Apify
   Create a free account or sign in to run the scraper.

2. Select the Actor
   Search for Twitter Tweets Scraper or Twitter post scraper Apify in the store.

Enter Input Data
Add your tweet URLs to the postUrls field.
Example:

https://x.com/FabrizioRomano/status/1683559267524136962

4. Choose Optional Settings

• Include original post

• Set results limit

• Extract media and user tags

• Add extended author metadata

6. Run the Scraper
   Processing begins immediately, extracting tweets and conversation details.

7. Download Results
   Export results as JSON, Excel, or CSV. Useful for Python scripts, BI tools, and dashboards.

This workflow integrates smoothly with Twitter post scraping, GitHub apps, or API-based pipelines.

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🎯 Use Cases

A Twitter Tweets Scraper is essential for data-driven decision-making across multiple industries.

🌍 Popular Use Cases

• 📈 Social Media Analytics — Track engagement patterns, hashtags, and influencers.

• 📰 Journalism & Research — Gather factual tweet data for news stories or academic reports.

• 🧭 Trend Monitoring — Observe trending topics, memes, and conversations in real-time.

• 🧲 Lead Generation & Market Research — Analyze audience reactions and sentiments.

• 🤖 AI Training Data — Build supervised datasets for NLP and sentiment models.

• 📊 Competitor Intelligence — Understand posting habits and content strategies.

• 🛡️ Brand Monitoring — Track mentions, replies, and customer feedback.

Using a Twitter tweet scraper or free Twitter scraper solution can significantly improve productivity and data accuracy.

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💙 Why Choose Us?

We provide an industry-leading Twitter Tweets Scraper, trusted by researchers, analysts, and enterprise teams.

🌟 Top Reasons to Choose Our Tool

• ⚡ Fast & Scalable — Scrapes thousands of Tweets quickly and reliably.

• 🧹 Clean Structured Output — Requires zero post-processing.

• 🔐 Safe & Ethical — Designed to respect Twitter/X’s public data ecosystem.

• 💰 Cost Efficient — Low compute usage and high performance.

• 🤝 Excellent Support — Direct access to expert help whenever needed.

• 🧩 Integrations-Ready — Works with APIs, Python scripts, GitHub automation, and BI tools.

• 🧪 Developer Approved — Ideal for twitter scraper GitHub, twitter scraper python, or browser-based workflows.

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📈 How Many Results Can You Scrape with Twitter Tweets Scraper?

One of the strongest advantages of our Twitter Tweets Scraper is its ability to run at scale—whether you need 10 tweets or 100,000 tweets.

🚀 Performance & Scalability Highlights

• Extract hundreds of tweets per minute, depending on rate limits.

• Automatically detects and extracts:

• text

• media

• hashtags

• impressions

• author details

• Optimized compute consumption (often 0.02–0.03 CU per 100 tweets).

• Works with bulk lists of tweet URLs, making it ideal for enterprise data collection.

• Designed to handle multi-threaded scraping with minimal errors.

• Compatible with tools like twitter scraper Chrome, Python pipelines, and GitHub workflows.

From sentiment analysis to market intelligence, this scraper handles heavy workloads with speed and accuracy.

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⚖️ Is it Legal to Scrape Twitter Tweets?

Scraping public Twitter/X data is generally legal as long as it follows ethical and platform-compliant guidelines.

📚 Compliance & Policy Notes

• ✔ Allowed to scrape public information only

• ✔ Must follow Twitter scraping policy and Terms of Service

• ❌ Avoid scraping private accounts or bypassing protections

• ✔ Use scrapers responsibly and avoid sending excessive requests

• ❌ Never misuse scraped data or violate privacy regulations

To answer common questions:

• “Does Twitter allow scraping?” — Public data scraping is allowed when compliant.

• “Is Twitter scraping legal?” — Yes, when used ethically and within local laws.

• “What is Twitter scraping?” — It’s the automated extraction of publicly available Twitter data for research and analysis.

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🔧 Input Parameters

🧩 JSON Example

{
  "startUrls": [
    { "url": "https://x.com/elonmusk" },
    { "url": "https://x.com/BarackObama" },
    { "url": "elonmusk" },
    { "url": "@username" }
  ],
  "sortOrder": "recent",
  "maxTweets": 100,
  "maxComments": 0,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

📤 Output Format

🧩 JSON Example

[
  {
    "id": "1988877569597260072",
    "url": "https://x.com/elonmusk/status/1988877569597260072",
    "user_posted": "elonmusk",
    "name": "Elon Musk",
    "description": "@tetsuoai Long press on any image to turn it into a video in less than 30 seconds https://t.co/Nsp7Ba0flp",
    "date_posted": "2025-11-13T07:52:18.000Z",
    "likes": 1729,
    "replies": 554,
    "reTweets": 368,
    "quotes": 38,
    "views": "1399060",
    "bookmarks": 213,
    "is_verified": true,
    "followers": 229031060,
    "following": 1226,
    "Tweets_count": 89153,
    "profile_image_link": "https://pbs.twimg.com/profile_images/1983681414370619392/oTT3nm5Z_normal.jpg",
    "biography": "",
    "hashtags": null,
    "tagged_users": ["tetsuoai"],
    "photos": null,
    "videos": [
      "https://video.twimg.com/amplify_video/1988877511368019968/vid/avc1/576x856/34pcJSQSXqqM4JRQ.mp4?tag=23"
    ],
    "quoted_post": {
      "data_posted": null,
      "description": null,
      "post_id": null,
      "profile_id": null,
      "profile_name": null,
      "url": null,
      "videos": null
    },
    "external_url": null,
    "input": {
      "url": "https://x.com/elonmusk/status/1988877569597260072/"
    }
  }
]

❓ FAQ (SEO-Optimized)

1️⃣ What is a Twitter Tweets Scraper?

A tool that extracts public tweets, media, and engagement details automatically.

2️⃣ Is Twitter scraping legal?

Yes—public data scraping is allowed when following ethical and policy guidelines.

3️⃣ Can I scrape tweets for free?

Yes, many twitter Tweets scraper free options exist, though with limitations.

4️⃣ Do you need coding skills to use it?

No. You can use an online scraper or Apify interface without coding.

5️⃣ Can this work with Python?

Absolutely—ideal for twitter scraper python automation.

6️⃣ Can I extract images and videos?

Yes, all media is included in the output.

7️⃣ Does this tool support bulk scraping?

Yes—upload unlimited tweet URLs.

8️⃣ Is it safe to use?

Yes, when complying with Twitter scraping policy and laws.

🎉 Conclusion

A powerful Twitter Tweets Scraper simplifies the entire process of collecting tweets, analyzing engagement, and building datasets—all while following Twitter scraping policy guidelines. Whether you prefer online tools, Python scripts, APIs, or GitHub scrapers, it provides a reliable, scalable, and compliant way to extract high-quality Twitter data for research, marketing, and business insights.