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Who reacted to a LinkedIn post

O caso base do actor. E tambem a linguagem que a memoria apify-actor-seo-standards manda usar: as pessoas procuram 'who reacted', nunca 'reactor'.

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LinkedIn Post Reactions Scraper ✅ NO COOKIES
LinkedIn Post Reactions Scraper ✅ NO COOKIESatomus/linkedin-reactions-scraper-pro
Name
Reaction Type
Company?
Matches Filter?
+4 fields
Text
Number
Boolean
List
Object

Input

🔗 Post URLs or IDs(required):https://www.linkedin.com/feed/update/urn:li:share:7404946870776868864/
💯 Max reactions per post:100

Output fields

Name
Reaction Type
Company?
Matches Filter?
New?
Input
Reactor
Metadata

How it works

Sign up on Apify or log in

The LinkedIn Post Reactions Scraper ✅ NO COOKIES Actor is ready to run with the inputs already set for "Who reacted to a LinkedIn post". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Who reacted to a LinkedIn post" task

The LinkedIn Post Reactions Scraper ✅ NO COOKIES Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 post urls or ids and 💯 max reactions per post, to match your specific use case.

Receive the "Who reacted to a LinkedIn 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 name, reaction type, company?, 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 "Who reacted to a LinkedIn post" task via API.

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Integrate "Who reacted to a LinkedIn post" into your workflow

Connect "Who reacted to a LinkedIn post" with 100+ integrations, or run it via API or MCP.

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