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: json { "startUrls": [ { "url": "https://www.upwork.com/freelance-jobs/apply/WIX-Website-Template-Development-for-Virtual-Staging-SaaS_~021883994784056195740" } ], "proxyCountryCode": "FR" } ### Input Fields | Field | Type | Required | Description | Default | |--------------------|----------|----------|-----------------------------------------------------------------------------------------------|----------| | startUrls | array | yes | An array of objects, each containing a url for a specific Upwork job post. | none | | proxyCountryCode | string | no | A two-letter country code to configure proxy usage. (e.g., US, FR) or "LOCAL" to disable. | "FR" | - 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: json [ { "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. ---