{ "openapi": "3.0.1", "info": { "title": "LinkedIn Post Comments & Engagements Scraper", "description": "πŸ’¬ LinkedIn Post Comments & Engagements Scraper gathers commenters, comment text, replies, reaction types & counts, timestamps, and profiles from public postsβ€”no cookies needed. ⚑ Perfect for social listening, content strategy, competitor analysis & analytics. πŸ“Š Fast, clean exports.", "version": "0.1", "x-build-id": "iWLrQk8HflZcxteWD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api-empire~post-comments-engagements-scraper-linkedin/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api-empire-post-comments-engagements-scraper-linkedin", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/api-empire~post-comments-engagements-scraper-linkedin/runs": { "post": { "operationId": "runs-sync-api-empire-post-comments-engagements-scraper-linkedin", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/api-empire~post-comments-engagements-scraper-linkedin/run-sync": { "post": { "operationId": "run-sync-api-empire-post-comments-engagements-scraper-linkedin", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "πŸ”— Post URLs or IDs (required)", "type": "array", "description": "πŸ“Ž Enter one or more LinkedIn post URLs or numeric activity IDs. You can paste full URLs (e.g. https://www.linkedin.com/feed/update/urn:li:activity:123456789/) or just the activity ID (e.g. 123456789). Add multiple entries for bulk scraping β€” the actor processes each post and saves comments to the dataset. One URL or ID per line. πŸš€", "items": { "type": "string" } }, "liAt": { "title": "πŸͺ LinkedIn session cookie (li_at)", "type": "string", "description": "πŸ” Optional. If you want to scrape as a logged-in user, paste your li_at cookie from LinkedIn (get it from your browser dev tools while logged in). Leave this empty to run without login β€” the actor will still attempt to fetch public comment data. Using a cookie can help with rate limits or access on some posts." }, "pageNumber": { "title": "πŸ“„ Page Number", "minimum": 1, "type": "integer", "description": "πŸ“ƒ The page number for comment pagination (1-based). Use this if you want to start from a specific page of results. Default is 1 (first page).", "default": 1 }, "sortOrder": { "title": "πŸ”€ Sort order", "enum": [ "REVERSE_CHRONOLOGICAL", "RELEVANCE" ], "type": "string", "description": "πŸ“Š Choose how comments are sorted for each post. Most recent (default) returns newest comments first (REVERSE_CHRONOLOGICAL). Most relevant returns LinkedIn’s relevance order (RELEVANCE).", "default": "REVERSE_CHRONOLOGICAL" }, "resultLimitPerPost": { "title": "🎯 Result limit per post", "minimum": 1, "maximum": 500, "type": "integer", "description": "πŸ“ˆ Maximum number of comments to fetch per post (1–500). Default is 100. Increase this to get more comments per post; lower it for faster runs or when you only need a sample.", "default": 100 }, "proxyConfiguration": { "title": "🌐 Proxy Configuration", "type": "object", "description": "πŸ”’ Optional. By default the actor sends requests directly to LinkedIn (no proxy). If LinkedIn blocks or rate-limits, the actor automatically falls back to Apify datacenter proxy, then to residential proxy with up to 3 retries, and sticks with residential for the rest of the run. You can also configure a proxy here to use from the start (e.g. Apify proxy with a specific group). All proxy changes are logged in the run log. πŸ›‘οΈ" } } }, "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 } } } } } } } } } }