Linkedin Jobs Scraper
Pricing
$19.99/month + usage
Linkedin Jobs Scraper
Pricing
$19.99/month + usage
Rating
0.0
(0)
Developer
ScrapAPI
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0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Linkedin Jobs Scraper
Pricing
$19.99/month + usage
Pricing
$19.99/month + usage
Rating
0.0
(0)
Developer
ScrapAPI
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
Categories
Share
You can access the Linkedin Jobs Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "KSZjuAt5wUK7tEjtY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapapi~linkedin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapapi-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scrapapi~linkedin-jobs-scraper/runs": { "post": { "operationId": "runs-sync-scrapapi-linkedin-jobs-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/scrapapi~linkedin-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-scrapapi-linkedin-jobs-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": { "companyInput": { "title": "Company Input (URLs, Names, or IDs)", "type": "array", "description": "List of company names (e.g., 'Google'), LinkedIn company URLs (e.g., 'https://www.linkedin.com/company/google/'), or company IDs (e.g., '1441'). Supports bulk input.", "items": { "type": "string" } }, "keywords": { "title": "Keywords", "type": "string", "description": "Job title or keywords to search for (e.g., 'Software Engineer', 'Developer'). Leave empty to get all jobs.", "default": "Software Engineer" }, "location": { "title": "Location", "type": "string", "description": "Job location filter (e.g., 'United States', 'New York, NY').", "default": "United States" }, "maxJobs": { "title": "Maximum Jobs", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of jobs to scrape. Default is 200.", "default": 20 }, "sortOrder": { "title": "Sort Order", "enum": [ "", "relevance", "date" ], "type": "string", "description": "Sort order for results (optional).", "default": "" }, "maxComments": { "title": "Max Comments", "minimum": 0, "type": "integer", "description": "Maximum comments to retrieve (optional, for future use).", "default": 0 }, "publishedAt": { "title": "Published At", "enum": [ "", "r86400", "r604800", "r2592000" ], "type": "string", "description": "Filter by publication date. Options: 'r86400' (last 24 hours), 'r604800' (last week), 'r2592000' (last month).", "default": "" }, "workType": { "title": "Work Type", "enum": [ "", "1", "2", "3" ], "type": "string", "description": "Filter by work type. Options: '1' (on-site), '2' (remote), '3' (hybrid).", "default": "" }, "contractType": { "title": "Contract Type", "enum": [ "", "F", "P", "C", "T", "I", "V" ], "type": "string", "description": "Filter by contract type. Options: 'F' (full-time), 'P' (part-time), 'C' (contract), 'T' (temporary), 'I' (internship), 'V' (volunteer).", "default": "" }, "experienceLevel": { "title": "Experience Level", "enum": [ "", "1", "2", "3", "4", "5" ], "type": "string", "description": "Filter by experience level. Options: '1' (internship), '2' (entry), '3' (associate), '4' (mid-senior), '5' (director).", "default": "" }, "geoId": { "title": "Geographic ID", "type": "string", "description": "Geographic ID for more specific location filtering (optional).", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Choose which proxies to use. By default, uses no proxy. If LinkedIn rejects or blocks the request, falls back to datacenter proxy, then residential proxy with 3 retries." } } }, "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 Jobs Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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