{ "openapi": "3.0.1", "info": { "title": "LinkedIn Post Search Scraper", "description": "Search LinkedIn for posts by keyword, topic, or hashtag. Filter by date posted and sort by relevance or recency.", "version": "1.35", "x-build-id": "diQ02ewtFzXw4hv5J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~linkedin-post-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-linkedin-post-search-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~linkedin-post-search-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-linkedin-post-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~linkedin-post-search-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-linkedin-post-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery", "cookie" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Keywords or hashtag to search for. Examples: 'artificial intelligence', '#MachineLearning', 'product launch announcement'" }, "cookie": { "title": "LinkedIn Cookie", "type": "string", "description": "Your LinkedIn session cookie. Accepts either: (1) the li_at value from browser DevTools → Application → Cookies, or (2) full cookies JSON array exported from an extension like EditThisCookie." }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "recency", "date_posted" ], "type": "string", "description": "How to sort search results. 'recency' and 'date_posted' are aliases — both sort by most recent posts first.", "default": "relevance" }, "datePosted": { "title": "Date Posted", "enum": [ "", "r86400", "r604800", "r2592000" ], "type": "string", "description": "Filter posts by how recently they were posted.", "default": "" }, "authorType": { "title": "Author Type", "enum": [ "", "PERSON", "COMPANY" ], "type": "string", "description": "Restrict results to posts authored by a person or by a company. Leave blank for both.", "default": "" }, "contentType": { "title": "Content Types", "type": "array", "description": "Select which post media types to include. Valid values: articles, posts, documents, videos, images.", "default": [ "articles", "posts", "documents", "videos", "images" ], "items": { "type": "string" } }, "language": { "title": "Language", "enum": [ "en", "es", "fr", "de", "pt", "it" ], "type": "string", "description": "Preferred result language. Non-English values also disable LinkedIn's spell-correction rewriting.", "default": "en" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of posts to return.", "default": 25 }, "fromNetwork": { "title": "From Network", "enum": [ "", "F", "S", "O" ], "type": "string", "description": "Filter posts by your LinkedIn connection degree. Leave blank for any. 'F' = 1st-degree, 'S' = 2nd-degree, 'O' = 3rd-degree and beyond.", "default": "" }, "industries": { "title": "Industries", "type": "array", "description": "Filter posts by industry. Select one or more industries.", "items": { "type": "string", "enum": [ "Software Development", "Financial Services", "Healthcare", "Education", "Marketing & Advertising", "Consulting", "Retail", "Manufacturing", "Legal Services", "Real Estate" ], "enumTitles": [ "Software Development", "Financial Services", "Healthcare", "Education", "Marketing & Advertising", "Consulting", "Retail", "Manufacturing", "Legal Services", "Real Estate" ] }, "default": [] }, "mentions": { "title": "Mentions", "type": "array", "description": "Filter posts mentioning specific companies or people. Provide LinkedIn handles or display names (e.g. 'OpenAI', 'Satya Nadella'). These are appended to the search query.", "default": [], "items": { "type": "string" } }, "mentionsCompany": { "title": "Mentions Company", "type": "string", "description": "Restrict results to posts that @-mention a specific company. Accepts a numeric LinkedIn company ID (e.g. '1441') or a company slug (e.g. 'google'). Slugs are resolved server-side; numeric IDs are passed through to the LinkedIn filter chain.", "default": "" }, "mentionsPerson": { "title": "Mentions Person", "type": "string", "description": "Restrict results to posts that @-mention a specific person. Accepts a numeric LinkedIn member ID or a profile slug (e.g. 'satyanadella').", "default": "" }, "minReactions": { "title": "Minimum Reactions", "minimum": 0, "maximum": 1000000, "type": "integer", "description": "Only emit posts with at least this many reactions. Set to 0 to include all.", "default": 0 }, "excludeReposts": { "title": "Exclude Reposts", "type": "boolean", "description": "When enabled, skip posts that are reshares of someone else's content.", "default": false }, "emitNoResultsMarker": { "title": "Emit No-Results Marker", "type": "boolean", "description": "When enabled and the search yields zero results (with no errors), push a single structured marker record ({searchQuery, noResults: true, scrapedAt}) so callers can distinguish 'no matches' from 'scrape failed'.", "default": true }, "talksAbout": { "title": "Talks About (Topics / Hashtags)", "type": "array", "description": "Filter posts that discuss specific topics or hashtags. Values are appended with '#' to the search query (e.g. 'AI' becomes '#AI'). You may also enter them with a leading '#'.", "default": [], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify proxy configuration." } } }, "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 } } } } } } } } } }