LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k
Pricing
$2.00 / 1,000 posts
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LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k
Extract posts from LinkedIn profiles including content, media, engagement and more. No cookies or account required. Concurrency + fast response times make mass scraping fast ⚡
2.9 (2)
Pricing
$2.00 / 1,000 posts
11
Total users
80
Monthly users
80
Runs succeeded
>99%
Issue response
11 hours
Last modified
a day ago
You can access the LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k 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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Example: `https://www.linkedin.com/in/williamhgates` will fetch posted or re-posted content by Bill Gates.", "items": { "type": "string" } }, "maxPosts": { "title": "Maximum number of posts to scrape per each input (overrides pagination)", "type": "integer", "description": "Maximum number of posts to scrape per each profile or company. Default is 10. This overrides pagination. If you set this to 0, it will scrape all posts." }, "scrapePages": { "title": "Number of pages to scrape", "type": "integer", "description": "Number of pages to scrape from the profile. Default is 1. Page size is about 20 posts." }, "page": { "title": "Page number to start scraping from", "type": "integer", "description": "Page number to start scraping from. Default is 1. Page size is about 20 posts." }, "profileUrls": { "title": "Profile URLs", "type": "array", "description": "List of LinkedIn profile URLs to scrape. Example: `https://www.linkedin.com/in/williamhgates` will fetch posted or re-posted content by Bill Gates. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } }, "profilePublicIdentifiers": { "title": "Profile Public Identifiers (last part in the URL)", "type": "array", "description": "List of LinkedIn Public Identifiers. Example: `williamhgates` will fetch posted or re-posted content by Bill Gates. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } }, "profileIds": { "title": "LinkedIn Profile IDs", "type": "array", "description": "List of LinkedIn profile IDs to scrape. Example: `ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc`. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } }, "companyUrls": { "title": "Company URLs", "type": "array", "description": "List of LinkedIn company URLs to scrape. Example: `https://www.linkedin.com/company/google`. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } }, "companyPublicIdentifiers": { "title": "Company Public Identifiers (last part in the URL)", "type": "array", "description": "List of LinkedIn Public Identifiers. Example: `google`. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } }, "companyIds": { "title": "LinkedIn Company IDs", "type": "array", "description": "List of LinkedIn company IDs to scrape. Example: `1441`. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } } } }, "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 Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k 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 Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k from the options below:
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