Scrape comments from any linkedin post with following details: Comment text, Comment author details, Total Likes, Total replies, etc
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
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Here is the sample output of this actor:
1{ 2 "time": 1673540713770, 3 "formattedTime": "2023-01-12T16:25:13.770Z", 4 "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", 5 "text": "European Commission FOREST PRODUCTS are missing. Johan Falkman", 6 "entities": [ 7 { 8 "start": 0, 9 "length": 19, 10 "detailData": { 11 "jobPostingName": null, 12 "hyperlink": null, 13 "profileFamiliarName": null, 14 "color": null, 15 "companyName": { 16 "name": "European Commission", 17 "entityUrn": "urn:li:fsd_company:1809", 18 "url": "https://www.linkedin.com/company/european-commission/" 19 }, 20 "icon": null, 21 "epoch": null, 22 "systemImage": null, 23 "textLink": null, 24 "listItemStyle": null, 25 "groupName": null, 26 "hyperlinkOpenExternally": null, 27 "listStyle": null, 28 "profileFullName": null, 29 "stringFieldReference": null, 30 "learningCourseName": null, 31 "profileMention": null, 32 "style": null, 33 "schoolName": null, 34 "hashtag": null 35 } 36 }, 37 { 38 "start": 50, 39 "length": 13, 40 "detailData": { 41 "jobPostingName": null, 42 "hyperlink": null, 43 "profileFamiliarName": null, 44 "color": null, 45 "companyName": null, 46 "icon": null, 47 "epoch": null, 48 "systemImage": null, 49 "textLink": null, 50 "listItemStyle": null, 51 "groupName": null, 52 "hyperlinkOpenExternally": null, 53 "listStyle": null, 54 "profileFullName": null, 55 "stringFieldReference": null, 56 "learningCourseName": null, 57 "profileMention": { 58 "firstName": "Johan", 59 "lastName": "Falkman", 60 "entityUrn": "urn:li:fsd_profile:ACoAAAGYg5EBEm2l3FbYNPTUIZXHA2B1Ic2mgLI", 61 "publicIdentifier": "johan-falkman-329b718" 62 }, 63 "style": null, 64 "schoolName": null, 65 "hashtag": null 66 } 67 } 68 ], 69 "fromPostAuthor": false, 70 "comments": [ 71 { 72 "time": 1673543758539, 73 "formattedTime": "2023-01-12T17:15:58.539Z", 74 "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", 75 "text": "Yes, a miss by the Commission not to mention forest products.", 76 "entities": [], 77 "fromPostAuthor": false, 78 "urn": "urn:li:comment:(activity:7019294467031543808,7019351280607207424)", 79 "pinned": false, 80 "edited": false, 81 "numComments": 0, 82 "numImpressions": null, 83 "numShares": null, 84 "reactionTypeCounts": { 85 "LIKE": 1 86 }, 87 "author": { 88 "distance": "3rd+", 89 "name": "Johan Falkman", 90 "firstName": "Johan", 91 "lastName": "Falkman", 92 "id": "26772369", 93 "profileUrl": "https://www.linkedin.com/in/johan-falkman-329b718", 94 "profileId": "ACoAAAGYg5EBEm2l3FbYNPTUIZXHA2B1Ic2mgLI", 95 "publicId": "johan-falkman-329b718", 96 "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" 97 } 98 } 99 ], 100 "urn": "urn:li:comment:(activity:7019294467031543808,7019338509924597761)", 101 "pinned": false, 102 "edited": false, 103 "numComments": 1, 104 "numImpressions": null, 105 "numShares": null, 106 "reactionTypeCounts": { 107 "LIKE": 2 108 }, 109 "author": { 110 "distance": "3rd+", 111 "name": "Jan-Erik Gasslander", 112 "firstName": "Jan-Erik", 113 "lastName": "Gasslander", 114 "id": "281118555", 115 "profileUrl": "https://www.linkedin.com/in/jan-erik-gasslander-4231907a", 116 "profileId": "ACoAABDBh1sBFusnDeby5SWQnyZ3z2lu1_Y7ji4", 117 "publicId": "jan-erik-gasslander-4231907a" 118 }, 119 "postId": "urn:li:activity:7019294467031543808" 120}
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!