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Upwork Job Post Scraper

This scraper takes individual Upwork job post URLs and extracts detailed information about each post (title, description, budget, etc.). It can optionally use a proxy with a specified country code to request the data.

Input

The input is a JSON object that must contain at least one startUrls entry. It can also include an optional proxyCountryCode:

{
"startUrls":[
{
"url":"https://www.upwork.com/freelance-jobs/apply/WIX-Website-Template-Development-for-Virtual-Staging-SaaS_~021883994784056195740"
}
],
"proxyCountryCode":"FR"
}

Input Fields

• startUrls: Each URL should be the direct link to an Upwork job post.
• proxyCountryCode: Determines where the proxy server is located. If "LOCAL", no remote proxy is used.

Output

The scraper outputs an array of job detail objects. Each job object may contain:

• title: Title of the job post.
• paymentType: Indicates if it’s an hourly or fixed-price job.
• paymentAmount: The proposed pay range or budget.
• description: Detailed text describing the job scope and requirements.
• jobPosted: When the job was posted (e.g., “3 days ago”).
• lastViewedByClient: The client’s latest activity timestamp.
• jobType: Usually “Remote Job” or region-limited.
• projectType: Complexity or nature of the project.
• estimatedHours: “Less than 30 hrs/week” or “More than 30 hrs/week.”
• duration: Project duration (e.g., “3-6 months”).
• experienceLevel: The experience level required (“Entry”, “Intermediate”, “Expert”).
• clientLocation: Where the client is located.
• clientTotalSpent: Total amount the client has spent on Upwork.
• clientTotalHires: How many freelancers the client has hired.
• clientActiveHires: How many of those hires are currently active.
• clientHoursBilled: The total hours the client has billed.
• clientMemberSince: The date the client joined Upwork.
• proposals: The range of proposals submitted (e.g., “5 to 10”).
• interviews: How many candidates are currently being interviewed.
• invitesSent: How many invitations the client sent out.
• skills: An array of extracted skills for the job.
• locationRestriction: Any geographical restriction applied to applicants (e.g., “Only freelancers located in the U.S. may apply.”).
• contractToHire: Boolean indicating whether it’s a “contract-to-hire” opportunity.

Example output:

[
{
"title":"Looking for a Startup Hubspot Sales Ops and CRM Manager",
"paymentType":"Hourly",
"paymentAmount":"$65.00 - $110.00",
"description":"We’re seeking a skilled and proactive freelance ...",
"jobPosted":"3 days ago",
"lastViewedByClient":"yesterday",
"jobType":"Remote Job",
"projectType":"Complex project",
"estimatedHours":"Less than 30 hrs/week",
"duration":"3-6 months",
"experienceLevel":"Intermediate",
"clientLocation":"United States",
"clientTotalSpent":"$154K",
"clientTotalHires":"30",
"clientActiveHires":"9",
"clientHoursBilled":"8,297 hours",
"clientMemberSince":"Apr 20, 2022",
"proposals":"20 to 50",
"interviews":"7",
"invitesSent":"5",
"skills":[
"HubSpot",
"Marketing Automation",
"Sales Operations",
"Sales"
],
"locationRestriction":"Only freelancers located in the U.S. may apply.",
"contractToHire":true
}
]

Usage

1. Provide the Input: When running on Apify, add your Upwork job post URLs in startUrls (and optionally modify the proxyCountryCode).
2. Run the Scraper: The scraper navigates to each job URL, parses the HTML, and collects the specified data.
3. View Results: Once finished, the dataset will contain an array of job objects matching the above schema.