Upwork Job Scraper

Collect Upwork job listings as structured data for research, monitoring, and analysis.

Features

• Optional cookies: Use current Upwork cookies to request additional client details.
• Flexible proxies: Use Apify Proxy or your own proxy URLs.
• Custom searches: Use a supported Upwork search URL or configure a search query and filters.
• Pagination controls: Select the number of jobs per page and the number of pages.
• Advanced filters: Filter by experience, project length, weekly hours, hourly rates, and fixed-price budgets.

Input guidance

• Use a residential proxy and current cookies for the most reliable, detailed results.
• A custom search URL overrides the search query and other search filters.
• The search query is ignored when you provide a custom search URL.
• Export the full cookie set from a logged-in Upwork browser session. Treat the export as a secret.
• If cookies are incomplete, expired, or rejected, the Actor logs a warning and continues with standard results.
• Runs without valid cookies can return fewer jobs and fewer pages.
• The available input filters work with and without cookies.
• Unavailable field values are null.

Invalid inputs fail before the scrape starts. A custom URL must be an HTTPS Upwork job-search URL. Page counts must be between 1 and 100. Custom URL page sizes must be between 1 and 50. Budgets cannot be negative, and each minimum budget must not exceed its maximum.

Standard result fields

• Date Scraped
• Job ID
• Time Posted
• Project Payment Type
• Budget
• Skill Level
• Skills
• Title
• URL
• Description
• Project Length
• Weekly Hours

Standard result example

{
    "Date Scraped": "2025-01-16T12:09:25.591Z",
    "Job ID": "7769492930342982627",
    "Time Posted": "2025-01-16T12:07:35.591Z",
    "Project Payment Type": "Hourly",
    "Budget": "$20.00 - $40.00",
    "Skill Level": "Entry Level",
    "Skills": ["Administrative Support", "Microsoft Excel", "Microsoft Word", "Google Workspace", "Data Entry"],
    "Title": "Administrative Assistant Needed for Letter Mailing in New York, USA",
    "URL": "https://www.upwork.com/url",
    "Description": "Lorem ipsum",
    "Location": null,
    "Total Spent": null,
    "Feedback": null,
    "Proposals": null,
    "Project Length": "3 to 6 months",
    "Weekly Hours": "Less than 30 hrs/week"
}

Additional fields with valid cookies

• Location
• Total Spent
• Feedback
• Proposals

Upwork can omit these values for some jobs. An omitted value appears as null.

Detailed result example

{
    "Date Scraped": "2025-01-18T10:16:41.649Z",
    "Job ID": "7769492930342982627",
    "Time Posted": "2025-01-17T10:12:21.649Z",
    "Project Payment Type": "Hourly",
    "Budget": "$7.00 - $25.00",
    "Skill Level": "Intermediate",
    "Title": "Web Scraping Specialist for Real Estate Data",
    "URL": "https://www.upwork.com/jobs/url",
    "Description": "Lorem ipsum",
    "Location": "United States",
    "Total Spent": "$4,588.28",
    "Feedback": 4.99,
    "Proposals": 8,
    "Project Length": "Less than 1 month",
    "Weekly Hours": "Less than 30 hrs/week",
    "Skills": [
        "Python",
        "Statistical Analysis",
        "Microsoft Excel",
        "Machine Learning",
        "CI/CD",
        "Data Engineering",
        "Deep Learning"
    ]
}

Output

Results are available in the run's default dataset. Each dataset item contains one job and follows the 16-field structure shown above.

Choose an Actor

• Monthly Actor for higher-volume use
• Pay-per-result Actor for lighter use