Bulk Scrape Multiple LinkedIn Comment Threads
Process multiple LinkedIn comments in one run. Paste up to hundreds of comment URLs into comment_urls (one per line) and this task fetches every reply and every reactor for each of them concurrently. Bulk mode is billed per row - you only pay for what you receive. Perfect for auditing a whole batch of viral posts or a client's month of comment threads in one go.
Input
Output fields
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The LinkedIn Comment Thread: Replies + Reactors [No Login] ✅ Actor is ready to run with the inputs already set for "Bulk Scrape Multiple LinkedIn Comment Threads". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Bulk Scrape Multiple LinkedIn Comment Threads" task
The LinkedIn Comment Thread: Replies + Reactors [No Login] ✅ Actor will start running based on the input automatically. You can also change all the input fields, like linkedin comment urls, fetch replies, and more, to match your specific use case.
Receive the "Bulk Scrape Multiple LinkedIn Comment Threads" 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, comment url, author name, 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 "Bulk Scrape Multiple LinkedIn Comment Threads" task via API.

Integrate "Bulk Scrape Multiple LinkedIn Comment Threads" into your workflow
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Rows for every reply and every reactor: author or reactor name, position and LinkedIn URL, reply text, reaction type and date, each tied to the comment URL it came from.
Paste one LinkedIn comment URL per line into "LinkedIn comment URLs". Click the timestamp on the comment you want so the link contains the commentUrn parameter.
Yes. This task caps 50 replies and 100 reactions per comment. Set "Max number of replies per comment (0 = all replies)" and "Max number of reactions per comment (0 = all reactions)" to 0 to fetch all of them.
Yes. Turn on "Emit deduplicated engager rows" to add one row per unique person across replies and reactions, which makes lead lists easier to build.
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