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Measure Engagement on X Quote Tweets of a Viral Post

Collects up to 50 public quote tweets of a viral post (a widely liked Barack Obama post as an example) with likes, replies, reposts and views per quote, so you can see which reactions drew the most engagement. Swap in your watchlist post.

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X (Twitter) Quote Tweets Scraper
X (Twitter) Quote Tweets Scraperkhadinakbar/x-twitter-quote-tweets-scraper
Quote tweet URL
Quote commentary text
Quoting author username
Quoting author name
+8 fields
Text
Number
Boolean
List
Object

Input

Tweet URLs or IDs(required):https://x.com/BarackObama/status/896523232098078720
Max quotes per tweet:50
Max pages per tweet:3
Deduplicate quotes:true

Output fields

Quote tweet URL
Quote commentary text
Quoting author username
Quoting author name
Created at
Quote likes
Quote reposts
Quote views
Quoted original tweet ID
Quoted original username
Position
Scraped at

How it works

Sign up on Apify or log in

The X (Twitter) Quote Tweets Scraper Actor is ready to run with the inputs already set for "Measure Engagement on X Quote Tweets of a Viral Post". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Measure Engagement on X Quote Tweets of a Viral Post" task

The X (Twitter) Quote Tweets Scraper Actor will start running based on the input automatically. You can also change all the input fields, like tweet urls or ids, max quotes per tweet, and more, to match your specific use case.

Receive the "Measure Engagement on X Quote Tweets of a Viral Post" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as quote tweet url, quote commentary text, quoting author username, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Measure Engagement on X Quote Tweets of a Viral Post" task via API.

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