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Twitter Scraper is a powerful Chrome extension designed for researchers, marketers, data analysts, and social media professionals who need to efficiently extract and export data from Twitter (X.com). Whether you're conducting social media research, analyzing trends, monitoring brand mentions, or building datasets for analysis, Twitter Scraper provides a comprehensive solution for collecting Twitter data without requiring API access or technical programming skills.
Twitter Scraper is a browser-based data extraction tool that allows you to export Twitter content directly from your browser. Unlike traditional Twitter API-based solutions that require developer accounts, authentication tokens, and technical knowledge, Twitter Scraper works seamlessly within your Chrome browser, extracting data as you browse Twitter normally.
The extension supports multiple data types including posts (tweets), user profiles, follower/following lists, likes, bookmarks, lists, and trending topics. All extracted data can be exported in various professional formats suitable for analysis, reporting, or database integration.
Posts/Tweets Export Extract tweets from any timeline, profile, search results, or list. Capture complete tweet information including text content, timestamps, engagement metrics (likes, retweets, replies), media URLs, hashtags, mentions, and more. Perfect for sentiment analysis, content research, or trend monitoring.
User Profile Data Collect detailed user information including usernames, display names, bios, follower counts, following counts, verification status, join dates, profile images, banner images, and website URLs. Essential for influencer research, audience analysis, and competitive intelligence.
Follower/Following Lists Export complete follower and following lists from any public account. Build comprehensive social network graphs, identify key influencers, analyze audience overlap, or research community structures.
Likes and Bookmarks Extract your own liked tweets or bookmarked content for personal archiving, content curation, or later analysis. Organize and categorize content that resonates with you or your brand.
Lists and Collections Export Twitter lists and their members, helping you organize and analyze curated communities, industry experts, or competitor groups.
Trending Topics Capture trending hashtags and topics with their tweet volumes and descriptions. Track emerging trends, monitor viral content, or identify conversation opportunities.
Twitter Scraper supports six professional export formats to suit different analysis needs:
CSV (Comma-Separated Values) Perfect for spreadsheet applications like Microsoft Excel or Google Sheets. Enables quick data analysis, pivot tables, and basic visualization.
JSON (JavaScript Object Notation) Ideal for developers and data scientists. Maintains data structure integrity and works seamlessly with programming languages like Python, JavaScript, and R.
Excel (XLSX) Native Microsoft Excel format with formatting support. Suitable for business reports, presentations, and advanced spreadsheet analysis.
XML (Extensible Markup Language) Standard format for data exchange between systems. Compatible with enterprise software and database management systems.
HTML (HyperText Markup Language) Human-readable format with formatted tables. Great for quick viewing, sharing reports, or embedding in websites.
TXT (Plain Text) Simple text format for basic archiving or importing into text analysis tools.
Field Selection and Management Choose exactly which data fields to export. Hide unnecessary columns, reorder fields to match your workflow, and rename columns to match your naming conventions. This customization ensures your exported data matches your analysis requirements perfectly.
Drag-and-Drop Field Ordering Intuitive interface allows you to reorder fields by simply dragging them into your preferred sequence. No complex configuration required.
Custom Field Renaming Rename any field to match your organization's terminology or analysis framework. Changes persist across sessions for consistent data outputs.
Field Exclusion Exclude irrelevant fields to reduce file size and focus on the data that matters most to your analysis.
Local File Downloads Download extracted data directly to your computer in any supported format. Files are saved locally with no cloud storage required, ensuring your data privacy.
Webhook Integration Send exported data directly to your server or analytics platform via webhook URLs. Perfect for automated workflows, real-time analysis pipelines, or integration with business intelligence tools.
Batch Operations Select multiple items for simultaneous export. Save time when exporting large datasets or multiple collections.
Unlike traditional Twitter data collection methods that require:
Twitter Scraper works directly in your browser without any API setup. Simply install the extension and start collecting data immediately.
Designed for non-technical users, Twitter Scraper features an intuitive interface that requires no coding knowledge. Clear visual indicators, helpful tooltips, and straightforward workflows make data extraction accessible to everyone.
Extract data as you browse Twitter normally. No waiting for API responses or dealing with pagination complexities. The extension automatically handles scrolling and data loading, making collection effortless.
All data processing happens locally in your browser. We don't store, transmit, or access your Twitter data or credentials. Your privacy is paramount, and your data remains under your complete control.
Start with our generous free plan that allows 30 exports per session. For power users, our premium plans offer unlimited exports at affordable prices - significantly cheaper than enterprise API solutions or data service subscriptions.
Exported data is clean, structured, and ready for analysis. No messy formatting, no missing fields, no corrupted characters. Each export format is optimized for its intended use case.
Social Media Studies Analyze communication patterns, information diffusion, network structures, and user behavior on Twitter. Export large datasets for quantitative research and statistical analysis.
Linguistic Analysis Study language evolution, slang usage, dialect variations, and communication styles across different Twitter communities.
Political Science Monitor political discourse, track campaign messaging, analyze voter sentiment, and study political network formations.
Competitor Analysis Monitor competitor accounts, track their content strategy, analyze engagement patterns, and identify successful content types.
Influencer Research Identify potential brand ambassadors, analyze influencer audiences, evaluate engagement rates, and measure campaign effectiveness.
Sentiment Analysis Track brand mentions, analyze customer sentiment, identify reputation issues early, and measure brand perception over time.
Content Strategy Analyze successful content types, identify optimal posting times, track hashtag performance, and understand audience preferences.
Story Research Collect tweets for story development, verify information sources, track breaking news, and monitor public reactions to events.
Source Discovery Identify expert sources, find eyewitnesses, discover trending stories, and build source networks for future reporting.
Dataset Creation Build custom training datasets for machine learning models, natural language processing projects, or sentiment analysis algorithms.
Network Analysis Create social network graphs, analyze community structures, identify key opinion leaders, and study information flow patterns.
Trend Forecasting Collect historical data for predictive modeling, analyze trend emergence patterns, and develop forecasting models.
Market Research Understand customer needs, identify market gaps, track industry trends, and monitor competitor movements.
Customer Insights Analyze customer feedback, identify pain points, discover feature requests, and measure customer satisfaction.
Crisis Management Monitor brand mentions during crises, track sentiment changes, identify influential negative voices, and measure response effectiveness.
Our free plan is designed for casual users, students, and small projects:
Perfect for:
Designed for professionals, businesses, and power users who need unlimited data collection:
Monthly Premium - $12.99/month
Annual Premium - $129/year (Save $26.88!)
Premium users can collect unlimited data for:
Step 1: Navigate to Twitter Open Twitter (x.com) in your Chrome browser and go to the page containing the data you want to extract (timeline, profile, search results, etc.).
Step 2: Open the Extension Click the Twitter Scraper icon in your browser toolbar to open the extension popup.
Step 3: Choose Data Type Select the type of data you want to extract:
Step 4: Data Collection The extension automatically collects visible data. For larger datasets, it will automatically scroll and load more content until you have enough data or reach your limit.
Step 5: Review and Select Review the collected data in the export list. Check or uncheck items to control what gets exported. Use the search function to filter specific items.
Step 6: Customize Fields (Optional) Click "Customize Fields" to:
Step 7: Export Data Click "Export" and choose your preferred format. The file downloads automatically to your computer.
For unlimited exports:
Built specifically for Chrome/Chromium browsers using Manifest V3 standards, ensuring optimal performance, security, and compatibility with the latest browser features.
All data processing happens locally in your browser using optimized algorithms. No server-side processing means faster exports and better privacy.
The extension intelligently handles Twitter's infinite scroll, automatically loading more content until sufficient data is collected.
Sophisticated memory management prevents browser crashes even when collecting large datasets. Data is processed in chunks and cleared when no longer needed.
Robust error handling ensures data collection continues even if individual items fail to load. You'll never lose your entire dataset due to a single error.
Premium tokens are stored locally in your browser's secure storage. Tokens are encrypted and never transmitted except during initial verification.
The extension requests only the minimum permissions necessary to function:
Our code follows security best practices and is regularly audited for vulnerabilities. We maintain transparency in our data handling practices.
We continuously improve Twitter Scraper with:
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