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Brand Reply Monitor for PR Crisis Detection

Pull every reply to a brand or product-launch tweet with full engagement data. Catch a negative sentiment spike before it becomes a PR problem

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Fast Twitter (X) Replies Scraper API
Fast Twitter (X) Replies Scraper APIapidojo/twitter-replies-scraper
id
text
Author Name
UserName
+8 fields
Text
Number
Boolean
List
Object

Input

Start URLs:https://x.com/Nike/status/1981345445986402472
Maximum number of items on output:200

Output fields

id
text
Author Name
UserName
Description
Retweets
Replies
Likes
Quotes
Views
Created At
url

How it works

Sign up on Apify or log in

The Fast Twitter (X) Replies Scraper API Actor is ready to run with the inputs already set for "Brand Reply Monitor for PR Crisis Detection". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Brand Reply Monitor for PR Crisis Detection" task

The Fast Twitter (X) Replies Scraper API Actor will start running based on the input automatically. You can also change all the input fields, like start urls and maximum number of items on output, to match your specific use case.

Receive the "Brand Reply Monitor for PR Crisis Detection" 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 id, text, author name, 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 "Brand Reply Monitor for PR Crisis Detection" task via API.

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Integrate "Brand Reply Monitor for PR Crisis Detection" into your workflow

Connect "Brand Reply Monitor for PR Crisis Detection" with 100+ integrations, or run it via API or MCP.

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