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Twitter X Comments Scraper for CSV Export logo

Twitter X Comments Scraper for CSV Export

This Twitter X comments scraper opens one or more tweet URLs, captures the parent tweet, and exports visible replies into a structured CSV. Import the workflow into the UScraper local desktop app to collect tweet URLs, author names, timestamps, comment text, media URLs, likes, reposts, and reply counts without wiring the X API.

Output

CSV

Columns

21

Input

Tweet URLs

Waits

Built in

API key

Not required

At a glance

Export Twitter X comments from tweet URLs

This template is built for tweet/status pages rather than X search pages because search URLs often redirect to login. Paste approved tweet URLs into the Navigate block, run the loop, and use the CSV for social listening, campaign review, moderation QA, open source intelligence notes, or small training datasets where a spreadsheet is easier to audit than screenshots.

When replies are visible in the browser session, the workflow exports one row for the parent tweet and additional rows for each loaded reply. When X hides comments from an unauthenticated or restricted session, the template still exports the visible parent tweet row and leaves the comment fields blank, which makes missing reply access obvious during review.

Parent tweet plus replies

Keep the source tweet fields beside each visible comment row, so analysts can filter by campaign post, author, engagement, or reply text.

Multi-URL collection

Add a list of tweet URLs to the Navigate block. Loop Continue advances through each input and appends rows into the same CSV.

Local desktop workflow

Your URLs and export file stay in the desktop workflow unless you add your own sync, upload, or sharing step.

No API setup path

Use the visible page session for practical exports when you do not want to build query rules, API keys, or code around reply collection.

Who this helps

Use cases for X reply and comment exports

Social teams

Campaign replies

Favorable to scraping

Export Twitter comments for launch posts, promoted announcements, or support threads, then tag recurring questions and objections in a spreadsheet.

Researchers

Public discussion review

Favorable to scraping

Scrape tweet replies from a curated URL list and preserve source URLs, timestamps, authors, and visible engagement fields for later coding.

Agencies

Competitor monitoring

Favorable to scraping

Compare reply themes across competitor posts without sending client data through a cloud actor or maintaining a custom Twitter script.

For adjacent social workflows, pair this template with the YouTube Comments and Replies Scraper, Reddit Search Scraper, and Reddit Post Scraper by Keywords. Browse the UScraper template library when you need follow-up extractors for source URLs.


How to use

Configure the Twitter replies scraper workflow

1

Download and import

Download the

hosted JSON template

and import it into UScraper.

2

Paste tweet URLs

Replace the sample https://x.com/.../status/... links in Navigate with approved tweet URLs. Use direct status URLs, not search URLs, for the most predictable run.

3

Confirm the export path

Structured Export writes tweets-comments-scraper-by-search-result-url.csv with headers and append mode. Change the save folder before client, topic, or campaign batches.

4

Run the loop

UScraper navigates to each tweet, waits for page load, pauses for visible content, injects a browser step that normalizes tweet and reply data, then waits for export rows.

5

Open and verify the CSV

Check row counts, blank comment fields, and a few source URLs before using the file in reporting, moderation review, OSINT notes, or AI analysis.

Output preview

CSV columns produced by the template

The export shape mirrors the workflow definition. The first row for a tweet can describe the parent post only, while reply rows repeat the parent tweet fields and fill the comment fields when X exposes replies in the session.

tweet_websiteauthor_nametweet_timestamptweet_contenttweet_likescomment_websitecomment_author_namecomment_timestampcomment_contentcomment_likes
https://x.com/example/status/1775106156165300336Example Brand2026-06-14T08:20:00.000ZWe shipped the new release today.1.2Khttps://x.com/user/status/1775107000000000000Maya R.2026-06-14T08:32:00.000ZCan you share the CSV template used in the demo?18
https://x.com/example/status/1775106156165300336Example Brand2026-06-14T08:20:00.000ZWe shipped the new release today.1.2Khttps://x.com/analyst/status/1775107550000000000Data Notes2026-06-14T08:41:00.000ZUseful thread for tracking product feedback.9
https://x.com/example/status/1828615095586357466Example Founder2026-06-15T11:05:00.000ZEarly customer questions from launch week.624
tweets-comments-scraper-by-search-result-url.csv
CSV - UTF-8 - Append

Column

web_page_url

The page URL opened during the current loop run.

Column

tweet_website

Canonical URL for the parent tweet when available.

Column

author_name

Visible display name for the parent tweet author.

Column

tweet_content

Parent tweet text captured from the visible page.

Column

tweet_image_url

First visible media URL attached to the parent tweet.

Column

tweet_likes

Visible like count parsed from page labels.

Column

comment_author_name

Visible display name for the reply author.

Column

comment_content

Reply or comment text when replies are loaded.

Column

comment_timestamp

Datetime or visible timestamp for the reply.

Column

comment_likes

Visible like count for the reply.

Headers included - appends across all configured tweet/status URLs

Alternatives

Local scraper vs API and cloud actors

OptionGood fitTrade-off
UScraper Twitter X comments templateNo-code teams that need tweet replies to CSV from a local desktop appBest-effort page-session export; visible replies depend on what X loads
Official X APIDeveloper teams with approved API access and stable query rulesRequires keys, code, policy review, and API plan management
Hosted scraping actorsTeams that prefer vendor-managed infrastructureTweet URLs and results pass through a third party and may bill per run

Frequently asked questions

X/Twitter content can be publicly visible, but automated collection may be limited by platform terms, access controls, copyright, privacy law, and local regulations. Do not bypass login gates or technical restrictions, and get legal review before using exports commercially.

Before you run

Practical limits and maintenance notes

Operational guardrails for X comment exports

Rate limits

Avoid aggressive repeated runs

X can slow, hide, challenge, or block automated sessions. Keep batches modest, avoid parallel loops, and pause when login, verification, unusual redirects, or incomplete threads appear.

Layout drift

Selectors and labels can change

Empty exports, missing counts, or blank comment fields usually mean replies were not visible, X changed page markup, or the browser session did not load the thread in time.

Policy

Use the right access path

For sanctioned production integrations, compare the official X API and its policies. Use this scraper only where it fits your legal, privacy, and platform-compliance review.

Download the free template, install the desktop app from UScraper download, and run a short validation batch before you export Twitter comments at larger scale.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]