Upwork Jobs Scraper 2026
Pricing
from $2.50 / 1,000 results
Upwork Jobs Scraper 2026
Extract Upwork job postings including descriptions, required skills, hourly rates, and fixed-price budgets. Find remote freelance opportunities automatically.
Upwork Jobs Scraper 2026
Pricing
from $2.50 / 1,000 results
Extract Upwork job postings including descriptions, required skills, hourly rates, and fixed-price budgets. Find remote freelance opportunities automatically.
You can access the Upwork Jobs Scraper 2026 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Each query runs separately and results are aggregated. Leave empty to get all jobs.", "items": { "type": "string" } }, "maxItems": { "title": "Results Per Query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of jobs to scrape per search query (1-100).", "default": 20 }, "sort": { "title": "Sort By", "enum": [ "relevance+desc", "recency+desc", "spend+desc" ], "type": "string", "description": "How to sort the search results", "default": "relevance+desc" }, "jobType": { "title": "Job Type", "type": "array", "description": "Filter by job payment type. Leave empty for all types.", "items": { "type": "string", "enum": [ "hourly", "fixed" ], "enumTitles": [ "Hourly Rate", "Fixed Price" ] }, "default": [] }, "experienceLevel": { "title": "Experience Level", "type": "array", "description": "Filter jobs by required experience level. Leave empty for all levels.", "items": { "type": "string", "enum": [ "EntryLevel", "IntermediateLevel", "ExpertLevel" ], "enumTitles": [ "Entry Level ($)", "Intermediate Level ($$)", "Expert Level ($$$)" ] }, "default": [] }, "workload": { "title": "Workload", "type": "array", "description": "Filter by workload intensity. Leave empty for all.", "items": { "type": "string", "enum": [ "full_time", "part_time", "as_needed" ], "enumTitles": [ "Full Time (30+ hrs/week)", "Part Time (10-30 hrs/week)", "As Needed" ] }, "default": [] }, "duration": { "title": "Project Duration", "type": "array", "description": "Filter by estimated project duration. Leave empty for all.", "items": { "type": "string", "enum": [ "week", "month", "semester", "ongoing" ], "enumTitles": [ "Less than 1 week", "1 to 3 months", "3 to 6 months", "Ongoing" ] }, "default": [] }, "budget": { "title": "Budget Range", "type": "array", "description": "Filter by budget amount (for fixed-price jobs). Leave empty for all.", "items": { "type": "string", "enum": [ "0-99", "100-499", "500-999", "1000-4999", "5000-" ], "enumTitles": [ "Under $100", "$100-$499", "$500-$999", "$1,000-$4,999", "$5,000+" ] }, "default": [] }, "clientHires": { "title": "Client Hiring History", "type": "array", "description": "Filter by how many hires the client has made. Leave empty for all.", "items": { "type": "string", "enum": [ "0", "1-9", "10-" ], "enumTitles": [ "No hires yet (new client)", "1-9 hires", "10+ hires (experienced)" ] }, "default": [] }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for requests. Upwork requires residential proxies - datacenter IPs are blocked by Cloudflare. US residential proxies are recommended for best results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountries": [ "US" ] } }, "requestDelay": { "title": "Request Delay (seconds)", "minimum": 1, "maximum": 10, "type": "integer", "description": "Delay between requests to avoid rate limiting. Higher values are safer.", "default": 2 } } }, "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 Upwork Jobs Scraper 2026 from the options below:
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