What is the Twitter Replies Scraper?
The InsightSocial Twitter replies scraper is a free Chrome extension that exports the replies under any tweet on X to CSV, Excel, JSON or Google Sheets. Open a tweet, start the scrape from the sidebar, and each reply becomes one row: the reply text, when it was posted, likes, replies, reposts, quotes, views and bookmarks, plus the replier's name, @handle, profile URL and verified status.
X calls them replies. Plenty of people call them comments, so if you were looking for a Twitter comment scraper or an X comments exporter, this is the same thing.
It works through your own logged-in X session. The extension reads the conversation X already loads for the tweet, page by page, the same requests X's page makes as you scroll. It doesn't call the X API, doesn't ask for your password, and only sees what your account can see.
Reply threads are where the reaction to a post actually lives. A view count tells you a tweet travelled; the replies tell you whether people agreed, what they asked, and which answers the audience itself liked. As a spreadsheet, that's material for sentiment analysis, FAQ mining, giveaway entry lists and voice-of-customer research.
What gets collected from one tweet
A replies run produces two things:
| Output | What it holds |
|---|---|
| The original tweet | Its URL, author, text, likes, replies, views, bookmarks and posted time, shown above the replies in the portal |
| The replies | One row per reply with its author, text, engagement, media and timestamp, plus the original tweet's details on every row |
Because each reply row repeats the original tweet's URL, author and text, a replies file still makes sense on its own after you've combined several of them.
Who is it for?
- Brand managers reading every reaction to a launch, announcement or incident post
- Researchers building reply datasets for sentiment, stance or discourse studies
- Giveaway hosts exporting the handles of everyone who replied to a contest tweet
- Social analysts finding the replies the audience itself liked and reposted most
- Community managers triaging questions and complaints from a busy thread
- PR teams measuring public response to a statement or news post
How to Use the Twitter Replies Scraper
Step 1: Install the Extension
Add InsightSocial from the Chrome Web Store. The icon appears in your toolbar.
Step 2: Open the Tweet
Log in to X and open the single post, at a URL like x.com/username/status/1234567890. Being logged in matters: X shows signed-out visitors only a small part of a reply thread.
Step 3: Open the Sidebar
Click the InsightSocial icon. The sidebar recognizes a Single Post and offers the Replies scrape type, listing what it collects: the original post, each reply's author, text, engagement and timestamp, and the parent reply ID for conversation context.
Step 4: Pick How Many Replies
Choose 50, 100 or 500 replies, or type your own number. For a quick sentiment read, 100 is usually enough. For a giveaway or a full audit, pick a number above the tweet's reply count and let the run end when the conversation does.
Step 5: Start Scraping
Click "Start Scraping". Replies appear in the sidebar's live preview as each page of the conversation loads. You can switch to another tab while it runs; reply threads keep collecting in the background.
Step 6: Export
Click "Export" and choose CSV, Excel (.xlsx), JSON, or Google Sheets. The session also syncs to your private InsightSocial portal, where the original tweet sits above its replies and you can sort the replies or search them by keyword.
What You Get for Each Reply
| Column group | Fields |
|---|---|
| The reply | Reply URL, content, posted at (UTC), reply ID, media URLs |
| Engagement | Likes, replies, reposts, quotes, views, bookmarks |
| Replier | Display name, @handle, profile URL, avatar, author ID, verified and blue-verified flags |
| Thread position | Parent reply ID and depth (for replies to replies), whether the replier is the original poster, conversation ID |
| Pulled from the text | @mentions, links, and any email address or phone number written in the reply |
| The original tweet | Post URL, author name and handle, content, likes, replies and posted time |
| Provenance | Source, scraped at, session ID |
The "is the original poster" column is useful on its own: filter it to see every answer the author gave in their own thread.
How Far a Run Goes
The run ends on the first of these:
- Your number is reached. The export holds exactly the count you picked.
- X signals the end of the conversation. Each page X sends for a thread says whether another page exists. When it doesn't, the run stops, because there is nothing more to load in that view.
- X stops serving pages. If no new replies arrive for a sustained stretch, for example because X is rate-limiting your account, the run ends and keeps what it collected. Trying again later usually goes further.
Each run also has a fixed scroll budget, so on threads with thousands of replies, plan for a large sample rather than a complete copy.
What isn't collected
The extension follows the conversation as X lays it out. It doesn't press X's buttons:
- "Show more replies" sub-threads. Replies to replies that X shows inline are collected, each with its parent reply ID. Deeper branches that X collapses behind a "Show more replies" link are not opened.
- "Show probable spam" and other hidden replies. Replies X tucks behind those prompts aren't loaded.
- Deleted replies, replies from accounts you've blocked, and protected accounts you don't follow. Your session can't see them, so the scraper can't either.
How much X collapses varies by thread. On very large or heated threads, the collapsed parts can be a meaningful share, so check the tweet's reply count against your export before you report "all replies."
How It Compares
| InsightSocial extension | Official X API | Copying replies by hand | |
|---|---|---|---|
| Setup | Install, log in to X, open the tweet | Developer account, app keys, code | None |
| Engagement per reply | Likes, reposts, quotes, replies, views, bookmarks | Depends on your API access | Whatever you copy |
| Replier details | Handle, name, profile URL, avatar, verified flags | Yes | Manual |
| Thread structure | Parent reply ID on replies to replies | Yes | Lost |
| Runs in a background tab | Yes | Yes (server-side) | No |
| Output | CSV, Excel, JSON, Google Sheets | JSON | Whatever you paste into |
If you need replies flowing into a pipeline automatically, the API is built for that. If you need a clean sheet of the replies to a tweet you're looking at, without code, the extension is the shortest path.
Frequently Asked Questions
Is it free?
Scraping is free on every plan. Only exported rows are metered, one credit per row, and exporting a row you have already paid for again is free:
- Free plan: 500 exported rows per month
- Pro Monthly: 10,000 exported rows per month for $9.99/mo
- Pro Yearly: 10,000 exported rows per month for $7.99/mo, billed yearly
One-time credit packs are available if you need more in a particular month.
Do I need an API key?
No. There is no developer app and no token. The extension reads the conversation x.com loads in your browser.
Can I pick a giveaway winner from the replies?
Export the replies, then de-duplicate by Author Handle so each person counts once, and draw from that list. Each row has the replier's profile URL, so checking whether a winner also follows you is one click away. To check follows in bulk, export your own followers with the Twitter Followers Scraper and match the two lists on handle.
How do I find which tweets are worth scraping?
Start from the numbers. Export a profile's timeline with the Twitter Posts Scraper, or a keyword or hashtag with the Twitter Search Scraper, sort by reply count, and run the replies scrape on the outliers.
Can I scrape replies from several tweets at once?
One session covers one tweet. Every reply row carries the original tweet's URL and ID, so several exports combine cleanly into one dataset.
Working on an account rather than a single tweet? The Twitter Analytics Scraper shows how its posts perform over time, and the Twitter Profile Scraper starts from its profile page.