LinkedIn Post Reactions Scraper (No Cookies) ✅ (No Cookies)
Pricing
Pay per event
Extract reactions of LinkedIn posts or comments, such as likes, appreciations, etc. No cookies or account required.
Pricing
Pay per event
Rating
5.0
(6)
Developer
HarvestAPI
Actor stats
62
Bookmarked
2.2K
Total users
385
Monthly active users
19 hours
Issues response
10 days ago
Last modified
Categories
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You can access the LinkedIn Post Reactions Scraper (No Cookies) ✅ (No Cookies) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
![LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅ avatar](https://images.apifyusercontent.com/aVgnaXwZpbMZWahdGYJE_U3cde7ask2Fak-EWcYZZVo/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vc0NDU2R3bm1LTUoxUTJzVG4tYWN0b3ItRklEV1pwRkVjaUJhaFNzMlQtZEl4YU9xME5kTy1jek5tY3kxd2NtbDJZWFJsTDNKaGQzQnBlR1ZzWDJsdFlXZGxjeTkzWldKemFYUmxYMk52Ym5SbGJuUXZiSEl2.webp){kind=avatar}
![Profile Reactions Scraper for LinkedIn [No Cookies] avatar](https://images.apifyusercontent.com/qlnT6NzgG-VAzMGK9diufCCw1IAUtZWeE6s5MEJM9I4/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItRk5oS0ZqZUw4aFdRdE1lWkktWW8wVmRrTUFiSS1hbS1sb2dvLnBuZw.webp){kind=avatar}
![Profile Comments Scraper for LinkedIn [No Cookies] avatar](https://images.apifyusercontent.com/u8ZkqL-wVvhhxkHGdW6pjTVkasgX_JajHXj0qeQeXLE/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vdFhKaEQ5SFNvdTY4N2NEUTQtYWN0b3ItN1ROY1JPZTFDMkNRRE8zd2wtQmZtWHZJYjJPby1hbS1sb2dvLnBuZw.webp){kind=avatar}
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "Yaxf7tD24wphA0F7J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/harvestapi~linkedin-post-reactions/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-harvestapi-linkedin-post-reactions", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/harvestapi~linkedin-post-reactions/runs": { "post": { "operationId": "runs-sync-harvestapi-linkedin-post-reactions", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/harvestapi~linkedin-post-reactions/run-sync": { "post": { "operationId": "run-sync-harvestapi-linkedin-post-reactions", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "posts": { "title": "Posts", "type": "array", "description": "Queries to search LinkedIn profiles by name.", "items": { "type": "string" } }, "maxItems": { "title": "Maximum number of reactions to scrape per each post", "type": "integer", "description": "Maximum number of reactions to scrape per each post" }, "reactionTypeFilter": { "title": "Reaction Type Filter", "type": "array", "description": "Select specific reaction types to scrape. If none selected, all reaction types will be scraped.", "items": { "type": "string", "enum": [ "ALL", "LIKE", "PRAISE", "EMPATHY", "APPRECIATION", "INTEREST", "ENTERTAINMENT" ], "enumTitles": [ "All reaction types", "Like", "Praise", "Empathy", "Appreciation", "Interest", "Entertainment" ] } }, "profileScraperMode": { "title": "Profile Scraper Mode", "enum": [ "short", "main" ], "type": "string", "description": "Choose the mode for scraping LinkedIn profiles. The Short mode provides basic information, while the Full mode includes full detailed profile data.", "default": "short" } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for LinkedIn Post Reactions Scraper (No Cookies) ✅ (No Cookies) from the options below:
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