{ "openapi": "3.0.1", "info": { "title": "👥 LinkedIn Groups Scraper - Members & Posts [NO COOKIES] ✅", "description": "Extract members, posts, and discussions from any public LinkedIn Group. Identify niche professional communities and build hyper-targeted lead lists by group affiliation. No login, no cookies, no Chrome extension. Bulk-process multiple groups. Built for B2B marketers and recruiters.", "version": "0.0", "x-build-id": "xSRefyQNtQSRCBvYa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unseenuser~LinkedIn-Groups-Scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unseenuser-LinkedIn-Groups-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unseenuser~LinkedIn-Groups-Scraper/runs": { "post": { "operationId": "runs-sync-unseenuser-LinkedIn-Groups-Scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unseenuser~LinkedIn-Groups-Scraper/run-sync": { "post": { "operationId": "run-sync-unseenuser-LinkedIn-Groups-Scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "What do you want to do?", "enum": [ "search_and_get", "search_groups", "get_group", "group_posts" ], "type": "string", "description": "Pick the operation that matches your goal.", "default": "search_and_get" }, "searchKeywords": { "title": "Search keywords", "type": "string", "description": "Industry, role, technology, or niche — anything LinkedIn search accepts.\n\n• 'Sales Operations' · 'Fintech' · 'Generative AI' · 'RevOps' · 'Pharma Marketing'\n\nSpecific keywords beat broad ones — 'B2B SaaS Founders' returns better-targeted groups than 'business'." }, "maxResults": { "title": "How many groups to return", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on the number of groups returned by the search.\n\n• **Search & Get Full Profiles:** keep this LOW (5-25). Each group triggers a full profile fetch.\n• **Search Groups Only:** safe to set high (50-500). Results are cheap discovery.\n\nClamped to [1, 1000].", "default": 25 }, "groupInputs": { "title": "Group URLs or IDs", "uniqueItems": true, "type": "array", "description": "Paste LinkedIn group URLs or numeric IDs — one per line. Both formats are accepted and auto-detected, whitespace is trimmed, duplicates removed.\n\nExamples:\n• `https://www.linkedin.com/groups/1898033/`\n• `https://www.linkedin.com/groups/1898033/about/`\n• `1898033`\n\nDon't know the IDs yet? Use 'Search Groups Only' first to discover them, then paste the IDs here.", "items": { "type": "string" } }, "maxPostsPerGroup": { "title": "Posts per group", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum posts to scrape from each group. Multiply by the number of groups for total cost.", "default": 50 }, "sortBy": { "title": "Sort posts by", "enum": [ "relevance", "date" ], "type": "string", "description": "How to order the posts within each group.", "default": "relevance" }, "timeWindow": { "title": "Time window — only posts from the past…", "enum": [ "", "1h", "24h", "week", "month", "3months", "6months", "year" ], "type": "string", "description": "Restrict posts to a recent window. Leave on 'No limit' to get the broadest catch.\n\nLinkedIn-side filters (faster): Past 24 hours, Past week, Past month.\nPost-filtered (finer control): Past hour, Past 3 months, Past 6 months, Past year.", "default": "" }, "maxRunTimeSeconds": { "title": "Max run time (seconds)", "minimum": 60, "maximum": 1800, "type": "integer", "description": "Hard cap on total run time. The Actor watches the clock and stops cleanly when this is hit, preserving everything scraped so far and emitting a TIMEOUT diagnostic. Default 5 minutes. Raise this for very large runs.\n\nClamped to [60, 1800].", "default": 300 }, "extractMembers": { "title": "Also extract members (admins + active posters)", "type": "boolean", "description": "When ON, the Actor produces a dedicated **members** dataset alongside the main output, with one row per person:\n\n• Group admins (from get_group / search_and_get) — always available, no extra API cost.\n• Active posters (from group_posts) — the authors of public posts the Actor scrapes.\n\nLinkedIn does not expose the full group roster, so 'members' here means everyone LinkedIn does surface for a group — typically the most-engaged 5–15% of the community. Each row has `linkedinUrl`, `fullName`, `headline`, and a back-link to the group, ready for profile enrichment.\n\nLeave it ON unless you only want group profiles or post content and want to skip member extraction entirely.", "default": true } } }, "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 } } } } } } } } } }