LinkedIn Job Scraper
Pricing
from $8.00 / 1,000 results
Go to Apify Store
LinkedIn Job Scraper
Extract the title, company, salary, posting date and full description of public LinkedIn job listings, searched by keyword and location.
LinkedIn Job Scraper
Pricing
from $8.00 / 1,000 results
Extract the title, company, salary, posting date and full description of public LinkedIn job listings, searched by keyword and location.
You can access the LinkedIn Job Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "SnthcEO36TmzSjuMq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/futurizerush~linkedin-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-futurizerush-linkedin-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/futurizerush~linkedin-job-scraper/runs": { "post": { "operationId": "runs-sync-futurizerush-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/futurizerush~linkedin-job-scraper/run-sync": { "post": { "operationId": "run-sync-futurizerush-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", "required": [ "keywords" ], "properties": { "keywords": { "title": "🔎 Search keywords", "minItems": 1, "maxItems": 10, "type": "array", "description": "Add job titles, skills, or company names. Repeated entries are combined automatically.", "items": { "type": "string", "minLength": 1, "maxLength": 200, "pattern": ".*\\S.*" } }, "location": { "title": "📍 Location", "pattern": ".*\\S.*", "maxLength": 200, "type": "string", "description": "Enter a city, region, or country. Without one, the search covers the United States.", "default": "United States" }, "datePosted": { "title": "🗓️ Date posted", "enum": [ "any", "past-24h", "past-week", "past-month" ], "type": "string", "description": "Choose how recent the listings should be.", "default": "past-week" }, "jobType": { "title": "💼 Job type", "minItems": 0, "maxItems": 5, "uniqueItems": true, "type": "array", "description": "Leave empty to include every job type. Otherwise only listings that state one of the chosen types are saved; a listing that states another type, or none, is left out. If you also choose an experience level, a listing must match both.", "items": { "type": "string", "enum": [ "full-time", "part-time", "contract", "temporary", "internship" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship" ] }, "default": [] }, "experienceLevel": { "title": "🎯 Experience level", "minItems": 0, "maxItems": 6, "uniqueItems": true, "type": "array", "description": "Leave empty to include every experience level. Otherwise only listings that state one of the chosen levels are saved. Listings marked \"Not Applicable\" or with no level are left out, even if you choose every level. If you also choose a job type, a listing must match both.", "items": { "type": "string", "enum": [ "internship", "entry-level", "associate", "mid-senior", "director", "executive" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ] }, "default": [] }, "remoteFilter": { "title": "Work arrangement (no longer offered)", "minItems": 0, "maxItems": 3, "uniqueItems": true, "type": "array", "description": "No longer offered. The public job search cannot be narrowed by work arrangement, so this setting has no effect.", "items": { "type": "string" }, "default": [] }, "limit": { "title": "📦 Total result limit", "minimum": 10, "maximum": 690, "type": "integer", "description": "Maximum number of results to save across all keywords. A run collects for up to 50 minutes at a time (or until its timeout, if shorter). If time runs out first, the run log says so, and resurrecting the run continues from where it stopped.", "default": 40 }, "jobsPerKeyword": { "title": "🧩 Per-keyword limit (optional)", "minimum": 10, "maximum": 69, "type": "integer", "description": "Caps each keyword on its own, even when another keyword runs out or cannot be completed. The total limit still applies and is used up in keyword order, so set it to at least this number times the number of keywords. Leave empty to share the total limit across all keywords." } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "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: