X-Post Scraper: Export Posts, Users, Trends & More icon

X-Post Scraper: Export Posts, Users, Trends & More

by nifty.codes

v3.1.6 Updated Mar 21, 2026 1.41MiB
CWS
356
Users
★ 3.78
9 reviews
#38592
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#8514 of 64.4K
Recently updated

Description

This browser extension extracts posts, user profiles, follower lists, and trending topics directly from Twitter (X.com). It automates the collection of social media data including engagement metrics, author details, and media URLs, processing everything locally in your browser. Built-in monitoring alerts you when new posts appear, user profiles change, or new trends emerge on Twitter. Key Features ✓ Monitor pages for changes and receive instant alerts ✓ All data processing happens locally in your browser ✓ Export to CSV, Excel (XLSX), JSON, HTML Table, and Raw JSON ✓ Automatic pagination for comprehensive data collection ✓ Batch processing for scraping multiple URLs at once ✓ Customizable field selection and conditional formatting What Data You Can Extract Posts: Post text, date, URL, language, views, likes, replies, reposts, quotes, bookmarks, retweet status, author name, username, description, location, followers, following, posts count, join date, verification status, profile image, banner, all media URLs, media types, and edit status. User Details: Name, username, description, location, legacy URL, join date, followers, following, posts count, media count, likes count, listed count, verification statuses, profile image, banner, DM capability, media tagging, translator status, identity verification, creator subscriptions count, and premium gifting eligibility. Users in a List: Name, username, description, location, join date, followers count, following count, posts count, media count, likes count, verification statuses, profile image, banner, professional status, professional type, and professional category. Trending Topics: Trend name, rank, URL, and domain context. Monitoring & Alerts Page Watcher lets you track changes on any Twitter page and get notified instantly. Set conditions on specific fields you care about, such as follower counts or post engagement, and receive alerts via webhook or ntfy.sh when those conditions are met. Batch Processing Batch URL Opener allows you to queue multiple Twitter URLs for scraping in one session. Add URLs manually or auto-collect them from a follower list or search page, then batch-process all results and export everything at once. Export Formats CSV, Excel (XLSX), JSON, HTML Table, Raw JSON Perfect For This extension is ideal for researchers gathering public Twitter data for analysis, marketers tracking user engagement and trends, or anyone needing structured exports of social media content. It turns Twitter data into organized local files. Supported Regions This extension works globally on the Twitter (X.com) domain. It supports all regions where Twitter is accessible. Privacy & Security All scraping and exports are performed locally on your machine. No scraped data is sent to external servers. General usage metrics are collected to support core functionality and improve the extension. Usage Notice This extension provides tools for extracting publicly available data. Users are responsible for ensuring their use complies with applicable terms of service and local regulations. The developer provides the tool and is not liable for how it is used. Technical Support For assistance or questions, contact hello@nifty.codes. Trademark Twitter is a registered trademark of X Corp. This extension is an independent tool and is not affiliated with, endorsed by, authorized, maintained, or sponsored by X Corp.
X-Post Scraper: Export Posts, Users, Trends & More screenshot 1X-Post Scraper: Export Posts, Users, Trends & More screenshot 2X-Post Scraper: Export Posts, Users, Trends & More screenshot 3X-Post Scraper: Export Posts, Users, Trends & More screenshot 4

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Permissions

downloads Can manage and monitor downloads storage Can store data locally in your browser tabs Can see your open tabs and their URLs unlimitedStorage

Details

Version 3.1.6
Updated Mar 21, 2026
Size 1.41MiB
First Seen Mar 31, 2026

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