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Keyword-Based Sentiment Tagging

Pull comments with a basic sentiment label attached based on keyword and emoji patterns. Quick read on audience reaction without a separate NLP pipeline.

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Fast Instagram Comments Scraper API - No Duplicates
Fast Instagram Comments Scraper API - No Duplicatesapidojo/instagram-comments-scraper-api
Type
ID
User ID
Message
+10 fields
Text
Number
Boolean
List
Object

Input

Start URLs:https://www.instagram.com/p/DC7Q4z5JPMX/
Fetch Replies:false
Continue on Duplicates:false
Maximum number of items on output:100
Custom map function:(object) => ({ message: object.message, likeCount: object.likeCount, replyCount: object.replyCount, sentiment: object.message?.includes('amazing') || object.message?.includes('๐Ÿ”ฅ') ? 'positive' : object.message?.includes('disappointed') || object.message?.includes('๐Ÿ˜ž') ? 'negative' : 'neutral', username: object.user?.username, verified: object.user?.isVerified, createdAt: object.createdAt })

Output fields

Type
ID
User ID
Message
Created At
Like Count
Reply Count
User ID
Username
Full Name
User is Verified
User is Private
User Profile Pic URL
User is Ranked

How it works

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The Fast Instagram Comments Scraper API - No Duplicates Actor is ready to run with the inputs already set for "Keyword-Based Sentiment Tagging". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Keyword-Based Sentiment Tagging" task

The Fast Instagram Comments Scraper API - No Duplicates Actor will start running based on the input automatically. You can also change all the input fields, like start urls, fetch replies, and more, to match your specific use case.

Receive the "Keyword-Based Sentiment Tagging" 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, ID, user id, 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 "Keyword-Based Sentiment Tagging" task via API.

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