LinkedIn Post Search Actor --- ## 🚀 Features - Pay-Per-Result Pricing - Pay only for posts delivered - LinkedIn Post Search - Search LinkedIn posts by keywords and advanced filters - Rich Data Extraction - Complete post data including engagement, media, and author info - Advanced Filtering - Filter by author type, engagement, media type, and more ## 💰 Pricing ### Pay-Per-Result Model - LinkedIn Posts: $0.0035 per LinkedIn post found - Cost per successful run: $0.05 per search run - No infrastructure costs - You only pay for actual results delivered, not the Actor runtime - No failed searches charged - API errors and empty results are free ### Example Costs | Search Type | Cost | |-------------|------| | Cost per search | $0.05 | | Search returning 1000 posts | $3.50 | | Total | $3.50 | ## 📊 Output Data ### LinkedIn Post Data Includes: - Author Information: Name, profile URL, type (Person/Company) - Post Content: Full text, media (images, videos, documents) - Engagement Metrics: Likes, comments, shares, reactions breakdown - Metadata: Timestamp, URN, permissions - Search Context: Query used, result position, total results ### Multiple Output Views: 1. Posts Overview - Main table with key post information 2. Engagement Metrics - Detailed reaction and engagement data 3. PPR Billing Details - Transparent billing and search metadata 4. Media Content - Posts with images, videos, and documents ### Example Raw Output #### 🧑‍💼 Person json { "urn": "urn:li:activity:7374186205246083073", "shareUrn": "urn:li:share:7374186203803222016", "approxPublishedAt": "25m", "timestamp": 1758142997085, "engagement": { "comments": 0, "reactions": { "LIKE": 0, "PRAISE": 0, "EMPATHY": 0, "INTEREST": 0, "APPRECIATION": 0, "ENTERTAINMENT": 0 }, "shares": 0 }, "content": { "edited": false, "text": "Fun experiment! To start, in AI MoE (Mixture of Experts) is when the model has a bunch of \"experts\" or \"specialists\" that, when you ask the model to do something, a router decides which of those \"specialists\" to call to answer your question. For oss20b there are 32 experts in each MoE block. So at any point it calls the expert to answer your question, but only a handful are used at a time. Each expert can learn different kinds of data, so one might be good at understanding legal text, another at coding, and another your cat pictures.\n\nSome of the experts, like some lawyers, are way better at understanding particular things and therefore called more often than the others. The ones that don't? Chuck em. Kind of like how you're on a call with outside counsel and it's 4 different lawyers, but only 3 are speaking and the 4th is playing Call of Duty the entire time. Don't need them going forward!\n\nAnyway, so I took two legal datasets available on HF (LEDGAR contracts + modified CUAD) and watched which MoE (Mixture of Experts) that oss20b used, layer by layer, when using the datasets. Then, I soft pruned the experts that were not used and reduced routing from k=4 to k=2, which cut MoE compute. Also, I lost no quality when soft pruning the unused ones. I.e. I'm only hiring 2 experts instead of 4; same answers less work.\n\nNext steps, hard prune to reduce memory usage.", "textAttributes": [], "quotePost": false, "quotedPost": null, "hasImage": true, "hasMultipleImages": false, "hasVideo": false, "hasDocument": false, "hasLink": false, "isCelebration": false, "isJobPosting": false, "media": { "images": [ { "url": "https://media.licdn.com/dms/image/v2/D5622AQH2N1UcMWZAeA/feedshare-shrink_2048_1536/B56ZlZfRz3I8A0-/0/1758142996036?e=1761177600&v=beta&t=c7wJf8rSYdj0kbxYNrlFiCq1PQPwjQlNiDZpSwIyh38", "position": 0, "alt": "chart, bar chart, histogram", "width": 483, "height": 694 } ], "videos": [], "articles": [] } }, "group": null, "permissions": { "canComment": true, "canReact": true, "canShare": true, "canMessage": true }, "poster": { "type": "Person", "name": "Aaron Kelly", "title": "General Counsel @ Edge & Node", "profileUrl": "https://www.linkedin.com/in/aaronkellylaw", "profileImage": "https://media.licdn.com/dms/image/v2/D5603AQF-OvN1CNtULQ/profile-displayphoto-crop_800_800/B56Zkqn87HKMAI-/0/1757356741845?e=1761177600&v=beta&t=qmBo38998-qd_ctExlsqpYLHiR8zdZ0sUeCgw3gK_L0", "urn": "urn:li:member:5219962", "location": { "country": "US", "state": null, "city": null }, "followersCount": 1496, "currentPosition": { "companyUrn": "urn:li:organization:71303412", "vanityId": "edgeandnode", "name": "Edge & Node", "minEmployeeCount": 62, "industry": "Software Development", "jobLocation": { "country": "US", "state": "California", "city": "San Francisco" } }, "isFullDetails": true, "version": 1 } #### 🏢 Company json { "urn": "urn:li:activity:7374185443296276480", "shareUrn": "urn:li:share:7374185442000162818", "approxPublishedAt": "28m", "timestamp": 1758142815422, "engagement": { "comments": 0, "reactions": { "LIKE": 0, "PRAISE": 0, "EMPATHY": 0, "INTEREST": 0, "APPRECIATION": 0, "ENTERTAINMENT": 0 }, "shares": 0 }, "content": { "edited": false, "text": "You don’t have to go with the first personal injury attorney you find. You have the right to shop around and choose the one you feel best meets your needs and you are most comfortable with (even if that doesn’t end up being us). \n\nHere are some qualifications you should consider during any consultation with a lawyer. \n\nhttps://lnkd.in/gfFhxkAe", "textAttributes": [ { "startIndex": 321, "endIndex": 345, "url": "https://lnkd.in/gfFhxkAe" } ], "quotePost": false, "quotedPost": null, "hasImage": true, "hasMultipleImages": false, "hasVideo": false, "hasDocument": false, "hasLink": true, "isCelebration": false, "isJobPosting": false, "media": { "images": [ { "url": "https://media.licdn.com/dms/image/v2/D5610AQHFR5-fK0aQVQ/image-shrink_1280/B56ZlZelb6JsAQ-/0/1758142815161?e=1758751200&v=beta&t=y40tmV9CxMavZuBh5iSgL1CK5LC0hNJ4SRiYvJUKBI0", "position": 0, "alt": "Close-up of a hand holding a pen poised to sign a legal document, representing personal injury law services by Maurer Law.", "width": 1080, "height": 1350 } ], "videos": [], "articles": [] } }, "group": null, "permissions": { "canComment": true, "canReact": true, "canShare": true, "canMessage": true }, "poster": { "type": "Company", "name": "Maurer Law", "followerCount": 26, "logo": "https://media.licdn.com/dms/image/v2/D560BAQGef0PSoFm0vA/company-logo_400_400/company-logo_400_400/0/1683658608157/maurerlaw_logo?e=1761177600&v=beta&t=yRwqKV6rm8iuP8b1Cv-vPQw-kjJ4Nmtd0ywNq0Hh2Mw", "urn": "urn:li:organization:19196622", "pageUrl": "https://www.linkedin.com/company/maurerlaw/", "locations": [ { "country": "US", "state": "California", "city": "Auburn", "headquarters": true } ], "contactInfo": { "website": "https://www.maurer.law/", "phoneNumber": null }, "size": 6, "yearFounded": 2019, "companyType": "Privately Held", "tagline": "Plaintiffs Personal Injury and Elder Abuse Law Firm", "description": "There are many law firms out there. Knowing where to turn for help can be difficult, and selecting the right lawyer and law firm to represent you is an extremely important decision, if not the most important decision to make in your case. With that in mind, it's important to know what we are not. We are not the law firm you see on television commercials, billboards or on the back of phone books. We are not the law firm that will send you out for unnecessary medical treatment, and we are not the law firm that pays for fake awards to try and bolster our credibility.\n\nWhat we are, however, is a law firm focusing on personal injury and elder abuse claims. We do quality work and get excellent results for our clients in the most effective and efficient way possible. Two of our core values are honesty and professionalism, and if you or a family member has been injured, we are here to help. We will give you straight answers, explain your options to you, and give you our advice and recommendations on what your next steps should be.", "isFullDetails": true, "version": 1 }, ## ⚙️ How to Use ### Search Just enter your search query and optionally set the maximum number of results: - Search Query: Text search query (in LinkedIn's boolean search syntax) - Max Results: 10 (default) - Limiter: A limiter for the search request. Use either previousPost OR maxTime - Filters: Search Filter ### Example json { "query": "hiring (developer OR engineer OR programmer)", "maxResults": 10, "limiter": { "previousPost": "urn:li:activity:7250170481335758841", "maxTime": null }, "filters": { "posterType": "Person", "hasImage": true, "isJobPosting": null, "profile": { "minFollowerCount": 100 } } } This searches all LinkedIn posts containing "hiring" and either "developer", "engineer", or "programmer" from individual profiles with at least 100 followers that include images, returning up to 10 results posted before the specified post. ## 📈 Use Cases ### Content Research - Monitor competitor content strategies - Track industry trends and discussions - Find viral posts in your niche ### Lead Generation - Find companies posting about your services - Identify active professionals in your field - Discover potential collaboration opportunities ### Market Research - Analyze engagement on industry topics - Track company announcements and updates - Monitor hiring trends and job postings ### Social Media Analysis - Study successful content formats - Analyze posting patterns and timing - Measure audience engagement preferences ## 🛡️ Data Quality & Reliability - Real-time Data - Direct from LinkedIn - Complete Profiles - Full author and company information - Accurate Metrics - Real engagement counts and timestamps - Rate Limited - Respects LinkedIn's usage policies - Error Handling - Robust retry logic and error reporting ## 📋 Data Export All data is available in multiple formats: - JSON - Full structured data with all fields - CSV - Flattened data perfect for spreadsheet analysis - Excel - Formatted tables with proper data types - API Access - Programmatic access via Apify API ## 🔗 Resources - LinkedIn Post Search Syntax - Data Export Options