{ "openapi": "3.0.1", "info": { "title": "AI Linkedin Post Scraper", "description": "Scrape viral/trending LinkedIn posts by hashtag or keyword search. Perfect for finding content inspiration and building a library of top-performing posts in your niche. Get top posts from any LinkedIn hashtag. Find posts matching specific keywords. Output formatted for AI voice analysis", "version": "1.0", "x-build-id": "JwgDtSZJQRMQslJD8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alizarin_refrigerator-owner~linkedin-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alizarin_refrigerator-owner-linkedin-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/alizarin_refrigerator-owner~linkedin-post-scraper/runs": { "post": { "operationId": "runs-sync-alizarin_refrigerator-owner-linkedin-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/alizarin_refrigerator-owner~linkedin-post-scraper/run-sync": { "post": { "operationId": "run-sync-alizarin_refrigerator-owner-linkedin-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchType": { "title": "Search Type", "enum": [ "auto", "google_search", "hashtag", "keyword", "feed", "profile" ], "type": "string", "description": "How to find posts. 'auto' (RECOMMENDED) uses multiple methods with residential proxies - no cookies needed! 'google_search' finds indexed posts via Google. Other modes require LinkedIn cookies.", "default": "auto" }, "profileUrl": { "title": "LinkedIn Profile URL", "type": "string", "description": "LinkedIn profile URL to scrape posts from. Example: https://www.linkedin.com/in/johnrippy/" }, "profileUsername": { "title": "LinkedIn Username", "type": "string", "description": "LinkedIn username (the part after /in/ in the URL). Example: johnrippy" }, "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtags to scrape posts from (e.g., leadership, marketing, AI)", "items": { "type": "string" } }, "keywords": { "title": "Search Keywords", "type": "array", "description": "Keywords to search for in posts", "items": { "type": "string" } }, "cookies": { "title": "LinkedIn Cookies", "type": "string", "description": "JSON string of LinkedIn cookies for authentication" }, "cookieStorageKey": { "title": "Cookie Manager Key", "type": "string", "description": "Storage key from Cookie Manager actor (e.g., 'linkedin-john'). Loads cookies automatically — no manual paste needed. Run the Cookie Manager actor first to capture cookies." }, "cookieKvStoreName": { "title": "Cookie Store Name", "type": "string", "description": "Name of the Key-Value Store where Cookie Manager saved cookies. Default: 'cookie-sessions'", "default": "cookie-sessions" }, "linkedinEmail": { "title": "LinkedIn Email", "type": "string", "description": "LinkedIn account email for automatic login (optional - enables authenticated scraping without manual cookie extraction)" }, "linkedinPassword": { "title": "LinkedIn Password", "type": "string", "description": "LinkedIn account password for automatic login" }, "linkedinAccessToken": { "title": "LinkedIn API Access Token", "type": "string", "description": "OAuth 2.0 access token from LinkedIn Developer Portal. This is the most reliable method - works from any IP with no cookies needed." }, "linkedinClientId": { "title": "LinkedIn Client ID", "type": "string", "description": "Client ID from your LinkedIn Developer App" }, "linkedinClientSecret": { "title": "LinkedIn Client Secret", "type": "string", "description": "Client Secret from your LinkedIn Developer App" }, "activityTypes": { "title": "Activity Types to Scrape", "type": "array", "description": "What types of activity to scrape: posts, articles, comments, or all. Select 'all' for complete voice analysis.", "items": { "type": "string", "enum": [ "posts", "articles", "comments", "all" ] }, "default": [ "posts" ] }, "maxPostsPerSource": { "title": "Max Items Per Activity Type", "minimum": 10, "maximum": 500, "type": "integer", "description": "Maximum items to scrape per activity type (posts, articles, comments)", "default": 50 }, "minLikes": { "title": "Minimum Likes", "minimum": 0, "type": "integer", "description": "Only include posts with at least this many likes (filters for viral content)", "default": 100 }, "minComments": { "title": "Minimum Comments", "minimum": 0, "type": "integer", "description": "Only include posts with at least this many comments", "default": 10 }, "sortBy": { "title": "Sort By", "enum": [ "recent", "top" ], "type": "string", "description": "How to sort/filter posts", "default": "top" }, "timeFilter": { "title": "Time Filter", "enum": [ "past_24h", "past_week", "past_month", "any" ], "type": "string", "description": "Only get posts from this time period", "default": "past_week" }, "includeAuthorInfo": { "title": "Include Author Info", "type": "boolean", "description": "Also scrape author's profile info (followers, headline)", "default": true }, "includeCommentText": { "title": "Include Comment Text", "type": "boolean", "description": "Scrape actual comment text and authors, not just comment counts", "default": false }, "maxCommentsPerPost": { "title": "Max Comments Per Post", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of comments to scrape per post", "default": 10 }, "includeReactionsBreakdown": { "title": "Include Reactions Breakdown", "type": "boolean", "description": "Get breakdown by reaction type (like, celebrate, support, love, insightful, funny)", "default": false }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings" }, "demoMode": { "title": "Demo Mode", "type": "boolean", "description": "Return realistic sample data for testing the actor output format. Disable and provide authentication (cookies or LinkedIn credentials) for actual scraping.", "default": true }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "URL to POST results when scraping completes (Zapier, Make, n8n, custom endpoint)" }, "webhookPlatform": { "title": "Webhook Platform", "enum": [ "zapier", "make", "n8n", "custom" ], "type": "string", "description": "Platform type for proper payload formatting", "default": "custom" }, "webhookHeaders": { "title": "Custom Webhook Headers", "type": "object", "description": "Additional HTTP headers to send with webhook (e.g., {\"Authorization\": \"Bearer token\", \"X-API-Key\": \"key\"})" }, "enableSentimentAnalysis": { "title": "Enable AI Sentiment Analysis", "type": "boolean", "description": "Use AI to analyze sentiment and tone of posts and comments", "default": false }, "aiProvider": { "title": "AI Provider", "enum": [ "none", "openai", "anthropic", "google", "mistral", "cohere" ], "type": "string", "description": "Which AI provider to use for sentiment analysis", "default": "none" }, "aiApiKey": { "title": "AI API Key", "type": "string", "description": "API key for your chosen AI provider" }, "aiModel": { "title": "AI Model (Optional)", "type": "string", "description": "Custom model name (leave empty for default). Examples: gpt-4o, claude-3-5-sonnet-20241022, gemini-1.5-pro" } } }, "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 } } } } } } } } } }