{ "openapi": "3.0.1", "info": { "title": "Post Comments Engagements Scraper Linkedin", "description": "LinkedIn Post Comments & Engagements Scraper extracts comments and engagement data from LinkedIn posts. It collects comment text, usernames, timestamps, likes, and reply details. Ideal for audience insights, engagement analysis, social listening, and marketing research.", "version": "0.1", "x-build-id": "k3tWViOsk76IWttCk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapapi~post-comments-engagements-scraper-linkedin/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapapi-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapapi~post-comments-engagements-scraper-linkedin/runs": { "post": { "operationId": "runs-sync-scrapapi-post-comments-engagements-scraper-linkedin", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapapi~post-comments-engagements-scraper-linkedin/run-sync": { "post": { "operationId": "run-sync-scrapapi-post-comments-engagements-scraper-linkedin", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } }