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Aniruddh from clay.wtf
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You can access the Linkedin Posts Scraper 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.
![Linkedin Profile Posts Scraper [NO COOKIES] avatar](https://images.apifyusercontent.com/s_O_fFD0AYINXh8_JVN3CD3Ofg4QN-ZCDgVnobPoBp8/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItTFFRSVhOOU90aGY4ZjdSNW4tS1loTXZ4SVB0Vy1saW5rZWRpbl9jb2xvcmVkXzIuanBn.webp){kind=avatar}
![[NO COOKIES] LinkedIn Search Posts Scraper avatar](https://images.apifyusercontent.com/ysMJeBWzmpBpgahs7snygGyaNsYHeQp_MDXLLFU6FTE/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vMFV6Z1BsTjFPZ3RzU2RkVVQtYWN0b3ItYXM2T0hrS1ZmQlpRRU8xcmstaFBkdVJJR1k0Ty1saW5rZWRpbi1zdmdyZXBvLWNvbS5zdmcucG5n.webp){kind=avatar}
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If provided, this overrides profile scraping." }, "sortType": { "title": "Sort Type", "enum": [ "relevance", "date_posted" ], "type": "string", "description": "Sort order for search results", "default": "relevance" }, "dateFilter": { "title": "Date Posted", "enum": [ "all", "past_24h", "past_week", "past_month", "past_year" ], "type": "string", "description": "Filter posts by date", "default": "all" }, "resultLimit": { "title": "Result Limit", "minimum": 1, "type": "integer", "description": "Maximum number of search results to scrape", "default": 50 }, "startPage": { "title": "Start Page", "minimum": 1, "type": "integer", "description": "Page number to start scraping from (1-indexed)", "default": 1 }, "companyURNs": { "title": "Company URNs", "type": "string", "description": "Filter by Company URNs (comma separated)" }, "authorCompanyURNs": { "title": "Author Company URNs", "type": "string", "description": "Filter by Author Company URNs (comma separated)" }, "authorIndustryURNs": { "title": "Author Industry URNs", "type": "string", "description": "Filter by Author Industry URNs (comma separated)" }, "authorJobTitle": { "title": "Author Job Title", "type": "string", "description": "Filter by Author Job Title" }, "memberURNs": { "title": "Member URNs", "type": "string", "description": "Filter by specific Member URNs (comma separated)" }, "username": { "title": "LinkedIn Username", "type": "string", "description": "Single LinkedIn username to scrape posts from (e.g., 'john-doe')" }, "usernames": { "title": "Multiple Usernames", "type": "array", "description": "List of LinkedIn usernames to scrape posts from", "items": { "type": "string" } }, "csvUrl": { "title": "CSV URL", "type": "string", "description": "URL to a CSV file containing LinkedIn usernames (one per line)" }, "maxPostsPerProfile": { "title": "Max Posts per Profile", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of posts to scrape per profile (default: 10)", "default": 10 }, "maxProfiles": { "title": "Max Profiles", "minimum": 0, "type": "integer", "description": "Maximum number of profiles to process (0 = unlimited)", "default": 0 }, "delayBetweenRequests": { "title": "Delay Between Requests", "minimum": 5, "maximum": 60, "type": "integer", "description": "Delay in seconds between API requests to avoid rate limiting", "default": 12 }, "cookieString": { "title": "LinkedIn Cookie String", "type": "string", "description": "Full cookie string from LinkedIn (e.g., 'li_at=...; JSESSIONID=...'). Get this from browser DevTools." }, "liAtCookie": { "title": "li_at Cookie", "type": "string", "description": "The li_at cookie value from LinkedIn (without 'li_at=' prefix)" }, "jsessionidCookie": { "title": "JSESSIONID Cookie", "type": "string", "description": "The JSESSIONID cookie value from LinkedIn (e.g., \"ajax:123456789\")" } } }, "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 } } } } } } } } }}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 Posts Scraper from the options below:
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