Social teams
Campaign hashtags
Favorable to scraping
Export Twitter tweets from approved hashtag examples, then sort posts by author, engagement, media use, or message theme in a spreadsheet.
Social Media$50Free
Twitter Hashtag Scraper for CSV Export
This Twitter hashtag scraper exports X/Twitter posts associated with a hashtag into a structured CSV. Import the workflow into the UScraper local desktop app to collect tweet URLs, author names, timestamps, post text, media URLs, replies, reposts, likes, and views from approved status URLs without building against the X API.
Output
CSV
Columns
15
Input
Status URLs
Waits
Built in
API key
Not required
At a glance
Export hashtag tweets from X/Twitter pages
X search pages often redirect unauthenticated sessions to login or onboarding, so this template is built around tweet detail URLs instead of assuming open search pagination. The Navigate block loops through known x.com/.../status/... URLs for the sample #fridayfeeling hashtag, then Structured Export appends each visible tweet into one CSV.
Use it when you need a reviewable Twitter hashtag CSV for social listening, campaign screenshots turned into data, sentiment review, creator discovery, or lightweight research notes. For larger live hashtag discovery, replace the sample URLs with approved status URLs from your own logged-in search workflow or another compliant source.
Hashtag context stays attached
Every row includes the configured keyword and source search URL, so exports remain traceable when you compare multiple hashtag batches.
Post text and engagement
Capture the visible tweet body plus reply, repost, like, and view counts when those labels are available in the page session.
Media-aware rows
Image and video URL fields help researchers separate plain text posts from visual campaign or creator content.
Local desktop export
Your URL list and CSV stay in the desktop workflow unless you add your own sync, upload, or sharing step.
Who this helps
Use cases for Twitter hashtag data extraction
Researchers
Public discussion review
Favorable to scraping
Collect a small, auditable sample of hashtag posts with timestamps and source URLs for coding, annotation, or qualitative review.
Agencies
Competitor monitoring
Favorable to scraping
Compare public hashtag activity without sending client research through a cloud actor or maintaining a custom Twitter data extractor.
For adjacent workflows, pair this template with the Twitter X Comments Scraper, Reddit Search Scraper, and YouTube Comments and Replies Scraper. Browse the UScraper template library when hashtag exports lead to broader source collection.
How to use
Configure the X hashtag scraper workflow
2
Replace the tweet URLs
In Navigate, replace the sample #fridayfeeling status URLs with approved tweet detail URLs from your target hashtag set.
3
Set keyword and export path
Update the keyword label in the browser step if you change hashtags, then confirm the Structured Export save folder and CSV filename.
4
Run the loop
UScraper navigates to each URL, waits for page load, pauses briefly, checks for a tweet article, creates hidden export rows, and continues the loop.
5
Review the CSV
Open the file, spot-check source URLs, and verify row counts before using the data in reporting, lead review, or analysis workflows.
Output preview
CSV columns produced by the template
The export mirrors the workflow definition and keeps one row per loaded tweet detail page.
| category | keyword | tweet_website | author_name | tweet_timestamp | tweet_content | reply | repost | like | view |
|---|---|---|---|---|---|---|---|---|---|
| TopPost | #fridayfeeling | https://x.com/example/status/1768257041947062311 | Printtapp | 2026-06-14T09:15:00.000Z | Friday campaign post with a product image. | 4 | 18 | 96 | 2.1K |
| TopPost | #fridayfeeling | https://x.com/creator/status/1766053090631839819 | Sharon M. | 2026-06-13T18:42:00.000Z | Weekend poll asking followers about launch plans. | 12 | 7 | 141 | 3.8K |
| TopPost | #fridayfeeling | https://x.com/brand/status/1766179248539111557 | LazyCatsX | 2026-06-13T21:08:00.000Z | Short text post with a video attachment. | 2 | 5 | 44 | 980 |
twitter-scraper-by-hashtag.csvColumn
category
Static grouping label from the workflow, such as TopPost.
Column
keyword
The hashtag being tracked, such as #fridayfeeling.
Column
web_page_url
The source hashtag search URL recorded for traceability.
Column
tweet_website
Canonical X/Twitter status URL for the collected tweet.
Column
author_name
Visible display name for the tweet author.
Column
tweet_timestamp
Datetime captured from the tweet page.
Column
tweet_content
Visible tweet text normalized into one CSV cell.
Column
tweet_image_url
Unique media image URLs, joined when multiple are present.
Column
tweet_video_url
Visible video source or poster URL when present.
Column
reply
Visible reply count parsed from page labels.
Column
repost
Visible repost or retweet count.
Column
like
Visible like count.
Column
view
Visible view count when X exposes it.
Headers included - appends across all configured tweet/status URLs
Frequently asked questions
X/Twitter posts 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, challenges, or technical restrictions, and get legal review before using exports commercially.
Before you run
Practical limits and maintenance notes
Operational guardrails for hashtag 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 pages appear.
Layout drift
Selectors and labels can change
Empty exports, missing counts, or blank media fields usually mean the page did not load, X changed its markup, or the browser session did not expose the tweet 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 scrape Twitter hashtags 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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