Linkedin Job Scraper
Pricing
$8.00 / 1,000 processing data
Pricing
$8.00 / 1,000 processing data
Rating
5.0
(1)
Developer
FreshData
Maintained by CommunityActor stats
2
Bookmarked
204
Total users
6
Monthly active users
2 months ago
Last modified
Categories
Share
You can access the Linkedin Job Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "nJggC81BueX7fZXyg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/freshdata~linkedin-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-freshdata-linkedin-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/freshdata~linkedin-job-scraper/runs": { "post": { "operationId": "runs-sync-freshdata-linkedin-job-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/freshdata~linkedin-job-scraper/run-sync": { "post": { "operationId": "run-sync-freshdata-linkedin-job-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": { "keywords": { "title": "keywords", "type": "string", "description": "Keywords to search for jobs." }, "geo_code": { "title": "geo_code", "type": "integer", "description": "Geographical code for filtering jobs. Learn how to [find a geo_code](https://i.postimg.cc/mkpbn8hS/geo-code.png)." }, "date_posted": { "title": "date_posted", "enum": [ "Any time", "Past month", "Past week", "Past 24 hours" ], "type": "string", "description": "Filter jobs by date posted. Acceptable values include predefined date ranges." }, "experience_levels": { "title": "experience_levels", "type": "array", "description": "Filter jobs by experience levels. Acceptable values include predefined experience levels.", "items": { "type": "string", "enum": [ "Internship", "Associate", "Director", "Entry level", "Mid-Senior level", "Executive" ] } }, "company_ids": { "title": "company_ids", "type": "string", "description": "Comma-separated company IDs. Example: 1035,2001,3002. Learn how to [find a company_id](https://i.postimg.cc/1zVwkP3B/company-id.png)." }, "title_ids": { "title": "title_ids", "type": "string", "description": "Comma-separated title IDs. Learn how to [find a title_id](https://i.postimg.cc/sgNhW4c7/title-id.png)." }, "industries": { "title": "industries", "type": "string", "description": "Comma-separated industry names. Learn how to [find an industry_id here](https://learn.microsoft.com/en-us/linkedin/shared/references/reference-tables/industry-codes-v2)." }, "onsite_remotes": { "title": "onsite_remotes", "type": "array", "description": "Possible values: ", "items": { "type": "string", "enum": [ "On-site", "Remote", "Hybrid" ] } }, "functions": { "title": "functions", "type": "array", "description": "", "items": { "type": "string", "enum": [ "Accounting", "Consulting", "Education", "Finance", "Health Care Provider", "Human Resources", "Legal", "Marketing", "Sales", "Business Development", "Other", "Strategy/Planning", "Writing/Editing", "Public Relations", "Information Technology", "Art/Creative", "Administrative", "Advertising", "Engineering", "Project Management", "Production", "Product Management", "Purchasing", "Quality Assurance", "Research", "Customer Service" ] } }, "job_types": { "title": "job_types", "type": "array", "description": "Possible values: Full-time, Part-time, Contract, Temporary, Internship, Other.", "items": { "type": "string", "enum": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Other" ] } }, "sort_by": { "title": "sort_by", "enum": [ "Most recent", "Most relevant" ], "type": "string", "description": "Default value: Most relevant. Possible values: Most recent, Most relevant." }, "easy_apply": { "title": "easy_apply", "enum": [ "true", "false" ], "type": "string", "description": "" }, "under_10_applicants": { "title": "under_10_applicants", "enum": [ "true", "false" ], "type": "string", "description": "Filter jobs with less than 10 applicants. Acceptable values are 'true' or 'false'." }, "start": { "title": "start", "type": "integer", "description": "Pagination start index. Default: 0" } } }, "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 Job Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: