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Collect X Quote Tweet Reactions to a Product Launch

Collects up to 100 public quote tweets of a product launch post (the ChatGPT launch announcement as an example) with quote text, author, timestamp and engagement, ready for your own sentiment review. The Actor does not score sentiment itself.

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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/sama/status/1598038815599661056
Max quotes per tweet:100
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 "Collect X Quote Tweet Reactions to a Product Launch". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect X Quote Tweet Reactions to a Product Launch" 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 "Collect X Quote Tweet Reactions to a Product Launch" 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 "Collect X Quote Tweet Reactions to a Product Launch" task via API.

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Integrate "Collect X Quote Tweet Reactions to a Product Launch" into your workflow

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