
๐ LinkedIn Jobs Scraper (Free)
Pricing
Pay per usage

๐ LinkedIn Jobs Scraper (Free)
๐ Automatically extract LinkedIn job listings based on your selected role and location, saving time and effort in your job search. ๐ผโจ
0.0 (0)
Pricing
Pay per usage
7
Total users
56
Monthly users
54
Runs succeeded
>99%
Last modified
a month ago
You can access the ๐ LinkedIn Jobs Scraper (Free) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
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true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "title": { "title": "Job title", "type": "string", "description": "Search by title, skill, or company" }, "location": { "title": "Job location", "type": "string", "description": "City, state, or zip code", "default": "New York" }, "limit": { "title": "Results limit", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum results count", "default": 50 }, "companyName": { "title": "Company name", "type": "array", "description": "Google|Apple|Microsoft|etc.", "items": { "type": "string" } }, "companyId": { "title": "Company id", "type": "array", "description": "123|456|etc", "items": { "type": "string" } }, "remote": { "title": "Remote", "type": "array", "description": "", "items": { "type": "string", "enum": [ "1", "2", "3" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] } }, "experienceLevel": { "title": "Experience level", "type": "array", "description": "", "items": { "type": "string", "enum": [ "1", "2", "3", "4", "5", "6" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ] } }, "contractType": { "title": "Contract type", "type": "array", "description": "", "items": { "type": "string", "enum": [ "F", "P", "C", "T", "I", "O" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Other" ] } }, "datePosted": { "title": "Date posted", "enum": [ "", "r86400", "r604800", "r2592000" ], "type": "string", "description": "" }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "" } } }, "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": { 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๐ LinkedIn Jobs Scraper (Free) OpenAPI definition
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 ๐ LinkedIn Jobs Scraper (Free) from the options below:
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