Monitor X Quote Tweet Volume After Controversial Post

Created by

Khadin Akbar

Actor

X (Twitter) Quote Tweets Scraper

Collects up to 100 public quote tweets of a widely debated post (an Elon Musk post as an example) with text, author, timestamp and engagement counts. Schedule repeat runs and compare row counts and timestamps to monitor quote volume over time.

Try for free

X (Twitter) Quote Tweets Scraperkhadinakbar/x-twitter-quote-tweets-scraper

Quote tweet URL

Quote commentary text

Quoting author username

Quoting author name

+8 fields

Input

Tweet URLs or IDs(required):https://x.com/elonmusk/status/1585341984679469056

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 "Monitor X Quote Tweet Volume After Controversial Post". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Monitor X Quote Tweet Volume After Controversial 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 "Monitor X Quote Tweet Volume After Controversial 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 "Monitor X Quote Tweet Volume After Controversial Post" task via API.