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Twitter Advanced Search Comments Scraper for CSV Export logo

Twitter Advanced Search Comments Scraper for CSV Export

This Twitter advanced search comments scraper helps you turn selected X/Twitter conversation URLs into a structured CSV. Use advanced search to find relevant posts, paste the status URLs into UScraper, and export parent tweet metadata, visible replies, authors, timestamps, media URLs, engagement counts, reply-to handles, ad flags, and language without building a scraper API.

Output

CSV

Columns

30

Input

Post URLs

Scrolls

6 cycles

API key

Not required

At a glance

Export X replies from advanced search results

Use this template when advanced search helps you identify the posts, but the business question lives in the replies. Build a narrow X search for a brand, hashtag, keyword, date range, or account filter, open the results you need, and copy the direct status URLs into the Navigate block. That keeps the run focused on approved conversations instead of trying to crawl all of X search.

The automation is intentionally bounded. UScraper navigates to each URL, waits for tweet articles, checks for the optional reply-expander control, then starts a repeated scroll and collect loop. A browser-side cache stores loaded tweet articles before X removes them from the visible timeline, so Structured Export can read a stable row set at the end of the run.

Parent post plus comments

Keep the root tweet fields beside each visible reply, including post URL, author, handle, timestamp, text, image URL, and engagement counts.

Advanced-search workflow

Use X search operators to find the right posts, then feed the resulting conversation URLs into a repeatable export.

Spreadsheet-ready output

Export Twitter replies to CSV for tagging, filtering, deduping, and review in Excel, Sheets, BI tools, or internal analysis notebooks.

Local desktop execution

Your URL list and exported CSV stay in the desktop workflow unless you add your own upload, sync, or sharing step.

Who this helps

Use cases for Twitter replies to CSV

Social teams

Campaign replies

Favorable to scraping

Collect replies from launch posts, support threads, and brand mentions, then sort comments by author, timestamp, language, engagement, or theme.

Researchers

Public conversation review

Favorable to scraping

Scrape tweet replies from a curated advanced-search set and preserve URLs, timestamps, reply-to handles, and visible media for later coding.

Agencies

Competitor monitoring

Favorable to scraping

Compare audience reactions across competitor posts without maintaining a custom Twitter script or passing client research through a cloud actor.

For adjacent workflows, pair this template with the Twitter Advanced Search Scraper, Twitter X Comments Scraper, and Twitter Data Scraper. Browse the UScraper template library when you need Reddit, YouTube, or search-engine follow-up extractors.


How to use

Configure the Twitter replies scraper workflow

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

Find post URLs

Use X advanced search for your keyword, account, hashtag, language, or date window. Open the result posts you are allowed to analyze and copy their direct /status/ URLs.

3

Replace the Navigate list

Paste one or more conversation URLs into navigate.urls. The template loops through the list and appends each run into the same CSV.

4

Confirm the export path

Structured Export writes twitter-advanced-search-comments-scraper.csv with headers and append mode. Change the save folder before client or campaign batches.

5

Run and review

Let UScraper navigate, wait, scroll, cache loaded rows, and export. Open the CSV, spot-check source URLs, and compare row counts against the visible thread before using the data in reports.

Output preview

CSV columns produced by the template

The export mirrors the workflow definition and keeps one row per cached tweet article. Parent post fields repeat beside comment fields, which makes the file easy to group by source conversation, author, date, or engagement.

query_strpost_urltweet_author_handletweet_textcomment_author_handlecomment_contentcomment_likesreplying_tolanguage
product launchhttps://x.com/example/status/1907187972686115037@exampleWe shipped a new release today.@maya_dataCan you share the CSV schema from the demo?18@exampleen
product launchhttps://x.com/example/status/1907187972686115037@exampleWe shipped a new release today.@analyst_ioUseful thread for tracking feature requests.9@exampleen
product launchhttps://x.com/example/status/1907187972686115037@exampleWe shipped a new release today.@ops_leadThe reply counts changed after refresh, worth rechecking.4@example, @maya_dataen
twitter-advanced-search-comments-scraper.csv
CSV - UTF-8 - Append

Column

query_str

The q parameter from the current URL when available.

Column

source_page_url

The conversation page opened during the loop.

Column

post_url

Canonical URL for the root post or current cached article.

Column

tweet_author_handle

Visible handle for the parent tweet author.

Column

tweet_text

Text captured from the parent tweet.

Column

tweet_likes

Visible like count for the parent tweet.

Column

comment_url

URL for the cached reply or comment row.

Column

comment_author_handle

Visible handle for the reply author.

Column

comment_content

Reply text from the cached article.

Column

comment_image_url

First visible non-profile media URL in the reply.

Column

comment_views

Visible view count when X exposes it.

Column

replying_to

Handles referenced in the reply context.

Headers included - parent tweet fields plus visible comment fields

Comparison

Local scraper vs X API and cloud actors

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

Frequently asked questions

X/Twitter content may be publicly visible, but automated collection can be restricted by platform terms, login rules, copyright, privacy law, and local regulations. Use the template only for permitted research, avoid bypassing access controls, and get legal review before commercial use.

Before you run

Practical limits and maintenance notes

Operational guardrails for X reply 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

Tweet markup 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 expose enough tweet articles 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 for a larger report.

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

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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