Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k posts
Pricing
$2.00 / 1,000 results
Go to Store
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 ⚡
0.0 (0)
Pricing
$2.00 / 1,000 results
3
Total users
9
Monthly users
9
Runs succeeded
84%
Last modified
9 hours ago
You can access the Linkedin Post Search Scraper (No Cookies) ✅ $2 per 1k posts programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "NPfIMTwGK6ELewNTO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/harvestapi~linkedin-post-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-harvestapi-linkedin-post-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/harvestapi~linkedin-post-search/runs": { "post": { "operationId": "runs-sync-harvestapi-linkedin-post-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/harvestapi~linkedin-post-search/run-sync": { "post": { "operationId": "run-sync-harvestapi-linkedin-post-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Queries to search LinkedIn posts. 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'." }, "authorsCompanyUrls": { "title": "Author's Company URLs", "type": "array", "description": "Scrape posts of profile-authors who assigned to LinkedIn URL of these companies. Example: `https://www.linkedin.com/company/google` will fetch posts of Google employees or ex-employees in some cases.", "items": { "type": "string" } }, "authorsCompanyPublicIdentifiers": { "title": "Author's Company Public Identifiers (last part in the URL)", "type": "array", "description": "Scrape posts of profile-authors who assigned to LinkedIn Public Identifiers of these companies. Example: `google` will fetch posts of Google employees or ex-employees in some cases.", "items": { "type": "string" } }, "authorsCompanyIds": { "title": "Author's LinkedIn Company IDs", "type": "array", "description": "Scrape posts of profile-authors who assigned to LinkedIn Company IDs of these companies. Example: `1441` will fetch posts of Google employees or ex-employees in some cases.", "items": { "type": "string" } }, "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.", "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.", "items": { "type": "string" } }, "profileIds": { "title": "LinkedIn Profile IDs", "type": "array", "description": "List of LinkedIn profile IDs to scrape. Example: `ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc`.", "items": { "type": "string" } }, "companyUrls": { "title": "Company URLs", "type": "array", "description": "List of LinkedIn company URLs to scrape. Example: `https://www.linkedin.com/company/google`.", "items": { "type": "string" } }, "companyPublicIdentifiers": { "title": "Company Public Identifiers (last part in the URL)", "type": "array", "description": "List of LinkedIn Public Identifiers. Example: `google`.", "items": { "type": "string" } }, "companyIds": { "title": "LinkedIn Company IDs", "type": "array", "description": "List of LinkedIn company IDs to scrape. Example: `1441`.", "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 search query. 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." } } }, "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.
You can also check out our other API clients:
