Analyze Product Launch Feedback on Instagram
Krazee
Analyze real customer sentiment, recurring bug reports, and UX friction across recent product announcements. Pull top comment discussions and reply threads mapped directly to each update post in a single run without logging in. Ideal for product managers, QA triage, and feeding clean feedback into LLMs.
Input
Output fields
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The Instagram Profile Posts Scraper | No cookies Actor is ready to run with the inputs already set for "Analyze Product Launch Feedback on Instagram". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Analyze Product Launch Feedback on Instagram" task
The Instagram Profile Posts Scraper | No cookies Actor will start running based on the input automatically. You can also change all the input fields, like profile urls or usernames, results per profile, and more, to match your specific use case.
Receive the "Analyze Product Launch Feedback on Instagram" 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 🖼️ thumbnail, 🌐 post url, 👤 account, 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 "Analyze Product Launch Feedback on Instagram" task via API.
Integrate "Analyze Product Launch Feedback on Instagram" into your workflow
Connect "Analyze Product Launch Feedback on Instagram" with 100+ integrations, or run it via API or MCP.
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