What is the Twitter Posts Scraper?
The InsightSocial Twitter Posts Scraper is a free Chrome extension that exports tweets — full text, author, likes, retweets, replies, views, quote-tweet counts, media URLs, hashtags, dates, and direct links — from any public Twitter/X timeline to CSV, Excel, or JSON. No API key, no rate-limit tiers, no code.
It works by reading what your own logged-in Twitter/X session already sees. Open a profile, your home feed, or a search results page; the extension scrolls the timeline the way a person would and captures each tweet as X loads it. Because everything happens inside your own browser session, the scraper never asks for your credentials, never calls X's API on your behalf, and never shows you anything your account couldn't already see — protected accounts remain visible only if you're an approved follower.
Content is where the signal lives: which posts a competitor's audience actually engages with, what formats perform in your niche, how a topic's conversation evolved over a week. A structured export of tweets with per-post metrics turns those questions into sortable spreadsheet work instead of endless scrolling.
Who is it for?
- Content creators researching trending tweets and viral content patterns in their niche
- Marketers tracking competitor content performance and posting strategies
- Researchers analyzing public discourse, trends, and conversations at scale
- Analysts building engagement reports and trend analyses from real post data
- Agencies monitoring client brand mentions and industry conversations
- Journalists tracking breaking news and public reactions over time
Key Benefits
- Per-post engagement — likes, retweets, replies, quote tweets, and views for every tweet
- Multiple timeline types — works on profiles, your home feed, and keyword search results
- Thread and retweet aware — flags retweets and thread membership so you can filter them
- Media and hashtags extracted — image/video URLs and every hashtag captured per post
- CSV / Excel / JSON export — feed into Sheets, notebooks, or BI tools directly
- No account risk — only your own logged-in session ever talks to X; no API, no bots
How to Use the Twitter Posts Scraper
Step 1: Install the Extension
Add InsightSocial from the Chrome Web Store. The icon appears in your browser toolbar.
Step 2: Open a Timeline
Navigate to what you want to extract: a profile (x.com/username), your home feed (x.com/home), or a keyword search (x.com/search?q=...). Whatever the timeline shows your session is what gets captured.
Step 3: Open the InsightSocial Sidebar
Click the InsightSocial icon. The sidebar opens and automatically detects the page type — profile, home feed, or search.
Step 4: Configure Your Scrape
Pick the Posts scrape type and set how many tweets to collect. Smaller targets suit a quick read on recent activity; larger ones suit a full content audit or research dataset.
Step 5: Start Scraping
Click "Start Scraping". The extension scrolls the timeline automatically with human-like pacing and the live preview fills with tweets — text, author, and engagement counts as they're captured.
Step 6: Export Results
Click "Export" and choose CSV, .xlsx, or JSON. Every scrape also syncs to your private InsightSocial portal, where past sessions stay searchable and re-exportable.
Frequently Asked Questions
What does each exported row contain?
Tweet text, author username and display name, like count, retweet count, reply count, view count (when X shows it), quote-tweet count, tweet date, the direct tweet URL, attached media URLs, hashtags, plus flags for whether the post is a retweet or part of a thread.
Can I scrape my home feed, or only profiles?
Both, plus search. Profile timelines are the classic use case (audit one account's content), the home feed captures what X's algorithm is currently surfacing to you, and search results let you collect every recent tweet matching a keyword or phrase — useful for topic and brand monitoring.
How do I use this for competitor analysis?
Scrape each competitor's profile timeline, export to a spreadsheet, and compare: posting frequency, which formats (text, image, video, quote) earn the most engagement, and which topics recur in their top posts. Our Twitter competitor analysis guide walks through the full workflow with formulas.
How many sessions do I get per month?
Scraping is unlimited on every plan, with unlimited posts within a session — the monthly quota is export credits, one per exported row:
- Free plan: 500 export credits per month
- Pro Monthly: 10,000 export credits per month for $9.99/mo
- Pro Yearly: 10,000 export credits per month for $95.88/year ($7.99/mo)
A long timeline crawl and a quick 50-tweet check are both free to run; you only spend on the rows you decide to keep.
How far back can I go on a profile?
As far as X keeps loading the timeline for your session. Recent tweets are always accessible; older history depends on how much X serves as the page scrolls. The scraper keeps going until it hits your target count or the timeline stops producing new posts.
Does it capture who posted, not just what?
Yes — every row carries the author's username and display name, so a home-feed or search scrape doubles as a map of which accounts are active on a topic. For deeper account-level data (bio, follower counts, join date), run the Twitter Profile Scraper on the authors you care about.
Is scraping tweets allowed?
Collecting publicly visible posts for research, journalism, or competitive analysis is a common, legitimate practice — you're recording what your own session already displays. Review X's Terms of Service for your use case, respect applicable privacy laws (GDPR, CCPA), and don't republish scraped content as your own or use it for spam.