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Audit recent Threads conversations about brands

Scrape recent Threads posts, engagement data, and profile context for brand reporting and content audits.

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Threads Scraper
Threads Scraperautomation-lab/threads-scraper
Username
Text
Likes
Replies
+4 fields
Text
Number
Boolean
List
Object

Input

Threads scraping mode(required):search
Threads search keywords:Netflix+1
Search result order:recent
Max Threads posts per user/query (items):30

Output fields

Username
Text
Likes
Replies
Reposts
Media Type
Date
URL

How it works

Sign up on Apify or log in

The Threads Scraper Actor is ready to run with the inputs already set for "Audit recent Threads conversations about brands". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Audit recent Threads conversations about brands" task

The Threads Scraper Actor will start running based on the input automatically. You can also change all the input fields, like threads scraping mode, threads search keywords, and more, to match your specific use case.

Receive the "Audit recent Threads conversations about brands" 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 username, text, likes, 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 "Audit recent Threads conversations about brands" task via API.

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Integrate "Audit recent Threads conversations about brands" into your workflow

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