Linkedin Post Search Scraper (No Cookies) ⚡ $2 per 1k posts
Pricing
$2.00 / 1,000 results
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Linkedin Post Search Scraper (No Cookies) ⚡ $2 per 1k posts
Search LinkedIn Posts with advanced filters by target profiles or companies. No cookies or account required. Concurrency + fast response times make mass scraping fast ⚡
5.0 (2)
Pricing
$2.00 / 1,000 results
36
Total users
719
Monthly users
459
Runs succeeded
>99%
Issues response
0.79 hours
Last modified
3 days ago
You can access the Linkedin Post Search Scraper (No Cookies) ⚡ $2 per 1k posts programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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The same query as you would use in the LinkedIn search bar.", "items": { "type": "string" } }, "postedLimit": { "title": "Posted Limit (filter)", "enum": [ "any", "24h", "week", "month" ], "type": "string", "description": "Fetch posts no older than X time. Options: '24h', 'week', 'month'." }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "date" ], "type": "string", "description": "Sort by 'relevance' or 'date'." }, "authorUrls": { "title": "Profile or Company URLs who posted", "type": "array", "description": "List of LinkedIn profile or company URLs to scrape. Example: `https://www.linkedin.com/in/williamhgates` will fetch posted or re-posted content by Bill Gates.", "items": { "type": "string" } }, "authorsCompanies": { "title": "Companies where authors work", "type": "array", "description": "Scrape posts of profile-authors who assigned to LinkedIn Company Names of these companies. Example: `Google` will fetch posts of Google employees or ex-employees in some cases.", "items": { "type": "string" } }, "maxPosts": { "title": "Maximum number of posts to scrape per each search query (overrides pagination)", "type": "integer", "description": "Maximum number of posts to scrape per each search query. This overrides pagination. If you set this to 0, it will scrape all posts." }, "scrapeReactions": { "title": "Scrape Reactions", "type": "boolean", "description": "Scrape reactions of posts." }, "maxReactions": { "title": "Maximum number of reactions to scrape per post", "type": "integer", "description": "Maximum number of reactions to scrape per post. Default is 5." }, "scrapeComments": { "title": "Scrape Comments", "type": "boolean", "description": "Scrape comments of posts." }, "commentsPostedLimit": { "title": "Comments Posted Limit (filter)", "enum": [ "any", "24h", "week", "month" ], "type": "string", "description": "Fetch comments no older than X time. Options: '24h', 'week', 'month'." }, "maxComments": { "title": "Maximum number of comments to scrape per post", "type": "integer", "description": "Maximum number of comments to scrape per post. Default is 5." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}Linkedin Post Search Scraper (No Cookies) ⚡ $2 per 1k posts OpenAPI definition
OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Linkedin Post Search Scraper (No Cookies) ⚡ $2 per 1k posts from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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