Linkedin comment scraper

Linkedin comment scraper

by curious_coder

Need to see what people are really saying on LinkedIn? This actor pulls every comment from any public LinkedIn post, giving you the raw, unfiltered co...

80,188 runs
1,007 users
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Opens on Apify.com

About Linkedin comment scraper

Need to see what people are really saying on LinkedIn? This actor pulls every comment from any public LinkedIn post, giving you the raw, unfiltered conversation data that's usually locked away. Just paste in the URL of a LinkedIn post, and it will extract the full comment text, the commenter's name and profile URL, how many likes each comment received, and the number of replies it sparked. You get a clean dataset, ready as JSON or CSV, without having to manually scroll and copy-paste for hours. I use this to track brand sentiment, analyze competitor engagement, or research what topics are genuinely resonating in my industry. It’s perfect for marketers who want to understand audience reactions, researchers studying social trends, or anyone who needs to gather feedback at scale. Instead of guessing, you can base your strategy on what people are actually discussing. Set it up in minutes, run it on a schedule to monitor posts over time, and get the data directly into your spreadsheets or dashboards. It handles the tedious part so you can focus on the insights.

What does this actor do?

Linkedin comment scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

How it works Scrape comments from any linkedin post by providing link to any linkedin post. It gives you complete comment details: comment text with mentions and other entities info, and author details, etc Check out other similar scrapers: - Youtube comment scraper - Facebook comment scraper - Twitter comment scraper ## Sample data Here is the sample output of this actor: json { "time": 1673540713770, "formattedTime": "2023-01-12T16:25:13.770Z", "link": "https://www.linkedin.com/feed/update/urn:li:activity:7019294467031543808?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7019294467031543808%2C7019338509924597761%29&dashCommentUrn=urn%3Ali%3Afsd_comment%3A%287019338509924597761%2Curn%3Ali%3Aactivity%3A7019294467031543808%29", "text": "European Commission FOREST PRODUCTS are missing. ​Johan Falkman​", "entities": [ { "start": 0, "length": 19, "detailData": { "jobPostingName": null, "hyperlink": null, "profileFamiliarName": null, "color": null, "companyName": { "name": "European Commission", "entityUrn": "urn:li:fsd_company:1809", "url": "https://www.linkedin.com/company/european-commission/" }, "icon": null, "epoch": null, "systemImage": null, "textLink": null, "listItemStyle": null, "groupName": null, "hyperlinkOpenExternally": null, "listStyle": null, "profileFullName": null, "stringFieldReference": null, "learningCourseName": null, "profileMention": null, "style": null, "schoolName": null, "hashtag": null } }, { "start": 50, "length": 13, "detailData": { "jobPostingName": null, "hyperlink": null, "profileFamiliarName": null, "color": null, "companyName": null, "icon": null, "epoch": null, "systemImage": null, "textLink": null, "listItemStyle": null, "groupName": null, "hyperlinkOpenExternally": null, "listStyle": null, "profileFullName": null, "stringFieldReference": null, "learningCourseName": null, "profileMention": { "firstName": "Johan", "lastName": "Falkman", "entityUrn": "urn:li:fsd_profile:ACoAAAGYg5EBEm2l3FbYNPTUIZXHA2B1Ic2mgLI", "publicIdentifier": "johan-falkman-329b718" }, "style": null, "schoolName": null, "hashtag": null } } ], "fromPostAuthor": false, "comments": [ { "time": 1673543758539, "formattedTime": "2023-01-12T17:15:58.539Z", "link": "https://www.linkedin.com/feed/update/urn:li:activity:7019294467031543808?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7019294467031543808%2C7019338509924597761%29&replyUrn=urn%3Ali%3Acomment%3A%28activity%3A7019294467031543808%2C7019351280607207424%29&dashCommentUrn=urn%3Ali%3Afsd_comment%3A%287019338509924597761%2Curn%3Ali%3Aactivity%3A7019294467031543808%29&dashReplyUrn=urn%3Ali%3Afsd_comment%3A%287019351280607207424%2Curn%3Ali%3Aactivity%3A7019294467031543808%29", "text": "Yes, a miss by the Commission not to mention forest products.", "entities": [], "fromPostAuthor": false, "urn": "urn:li:comment:(activity:7019294467031543808,7019351280607207424)", "pinned": false, "edited": false, "numComments": 0, "numImpressions": null, "numShares": null, "reactionTypeCounts": { "LIKE": 1 }, "author": { "distance": "3rd+", "name": "Johan Falkman", "firstName": "Johan", "lastName": "Falkman", "id": "26772369", "profileUrl": "https://www.linkedin.com/in/johan-falkman-329b718", "profileId": "ACoAAAGYg5EBEm2l3FbYNPTUIZXHA2B1Ic2mgLI", "publicId": "johan-falkman-329b718", "picture": "https://media.licdn.com/dms/image/v2/D4D03AQFbRxDZ6d4RDA/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1694631789158?e=1736380800&v=beta&t=3rVnQLIkCjeH_h0I7tU_xmVtCXgfzkHDh1JdhniKx1k" } } ], "urn": "urn:li:comment:(activity:7019294467031543808,7019338509924597761)", "pinned": false, "edited": false, "numComments": 1, "numImpressions": null, "numShares": null, "reactionTypeCounts": { "LIKE": 2 }, "author": { "distance": "3rd+", "name": "Jan-Erik Gasslander", "firstName": "Jan-Erik", "lastName": "Gasslander", "id": "281118555", "profileUrl": "https://www.linkedin.com/in/jan-erik-gasslander-4231907a", "profileId": "ACoAABDBh1sBFusnDeby5SWQnyZ3z2lu1_Y7ji4", "publicId": "jan-erik-gasslander-4231907a" }, "postId": "urn:li:activity:7019294467031543808" }

Categories

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

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Actor Information

Developer
curious_coder
Pricing
Paid
Total Runs
80,188
Active Users
1,007
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