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Threads sentiment analysis: posts and replies dataset

Collect what people post on Threads about a brand, product or topic. Keyword search returns the posts with likes, replies and reposts, ready to weight in your own sentiment model, a spreadsheet or a BI tool. Add a post link to include its replies.

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Meta Threads Scraper - Posts, Replies, Profiles & Hashtags
Meta Threads Scraper - Posts, Replies, Profiles & Hashtagskalilfagundes.w/threads-scraper
Type
Author username
Text
Like count
+5 fields
Text
Number
Boolean
List
Object

Input

Search keywords (searchQueries):chatgpt+1
Maximum rows in total (maxItems):100

Output fields

Type
Author username
Text
Like count
Reply count
Repost count
Created at
Media type
Url

How it works

Sign up on Apify or log in

The Meta Threads Scraper - Posts, Replies, Profiles & Hashtags Actor is ready to run with the inputs already set for "Threads sentiment analysis: posts and replies dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Threads sentiment analysis: posts and replies dataset" task

The Meta Threads Scraper - Posts, Replies, Profiles & Hashtags Actor will start running based on the input automatically. You can also change all the input fields, like search keywords (searchqueries) and maximum rows in total (maxitems), to match your specific use case.

Receive the "Threads sentiment analysis: posts and replies dataset" 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 type, author username, text, 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 "Threads sentiment analysis: posts and replies dataset" task via API.

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