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Upwork Job Scraper

This Apify Actor scrapes job listings from Upwork based on a wide range of search criteria. It automates the login process, bypasses anti-bot measures, and extracts detailed information for each job into a structured format.

Features

• Advanced Search: Filter jobs by keywords, job type, budget, client history, expertise level, and more.
• Secure Login: Handles Upwork authentication securely.
• Captcha Solving: Integrates captcha solving to handle Cloudflare challenges.
• Detailed Data Extraction: Scrapes over 50 data points for each job, including client information, job requirements, budget, and skills.
• Flexible Input: Configure the scraper using a simple JSON input.
• Structured Output: Provides results in a clean, machine-readable format (JSON).

Input Schema

The actor is configured using a JSON object with the following properties.

Credentials (Required)

You must provide your Upwork login credentials.

{
"credentials":{
"username":"YOUR_UPWORK_EMAIL",
"password":"YOUR_UPWORK_PASSWORD"
}
}

Search Parameters

Define your job search criteria within the search object. All fields below are supported:

{
"search":{
"query":"Workflow Automation",
"search_any":"make.com n8n tines Zapier",
"search_exact":"",
"search_none":"",
"search_title":"",
"category":["Web, Mobile & Software Dev","civil & structural engineering"],
"projectDuration":["week","month","semester","ongoing"],
"fixed":true,
"hires_min":1,
"hires_max":10,
"hourly":true,
"hourly_max":70,
"hourly_min":10,
"limit":70,
"payment_verified":true,
"contract_to_hire":false,
"previous_clients":false,
"fixed_price_catagory_num":["3"],
"fixed_max":100,
"fixed_min":30,
"proposal_min":0,
"proposal_max":0,
"sort":"relevance",
"expertise_level_number":["1","2","3"],
"workload":[]
}
}

All Search Fields

• query (string): The primary keyword for the search (e.g., "web developer").
• search_any (string): Space-separated words; jobs must contain at least one (e.g., "make.com n8n zapier").
• search_exact (string): The exact phrase the job must contain.
• search_none (string): Space-separated words to exclude from the search.
• search_title (string): Words that must appear in the job title.
• category (array of strings): List of job categories to include.
• projectDuration (array of strings): List of durations. Options: week, month, semester, ongoing.
• fixed (boolean): Include fixed-price jobs.
• hires_min (integer): Minimum number of client hires.
• hires_max (integer): Maximum number of client hires.
• hourly (boolean): Include hourly jobs.
• hourly_max (integer): Maximum hourly rate.
• hourly_min (integer): Minimum hourly rate.
• limit (integer): The maximum number of jobs to scrape.
• payment_verified (boolean): Only jobs from clients with verified payment.
• contract_to_hire (boolean): Only contract-to-hire jobs.
• previous_clients (boolean): Only jobs from your previous clients.
• fixed_price_catagory_num (array of strings): Pre-defined budget ranges. "1" ($0-99), "2" ($100-499), "3" ($500-999), "4" ($1k-5k), "5" ($5k+).
• fixed_max (integer): Maximum fixed price budget.
• fixed_min (integer): Minimum fixed price budget.
• proposal_min (integer): Minimum number of proposals.
• proposal_max (integer): Maximum number of proposals.
• sort (string): The order to sort results. Options: relevance, newest, client_total_charge, client_rating.
• expertise_level_number (array of strings): List of expertise levels. "1" (Entry), "2" (Intermediate), "3" (Expert).
• workload (array of strings): List of workload preferences. Options: part_time, full_time.

Output

The actor returns a dataset where each item represents a scraped job.

Example Job Output Item

{
"job_id":"01abcdef1234567890",
"url":"https://www.upwork.com/jobs/~01abcdef1234567890",
"title":"Build a simple web scraper for product data",
"description":"We need a script that can scrape product names, prices, and availability from an e-commerce website...",
"type":"Fixed-price",
"level":"INTERMEDIATE",
"fixed_budget_amount":500,
"hourly_min":0,
"hourly_max":0,
"duration":"Less than a month",
"skills":["Web Scraping","Python","Beautiful Soup"],
"applicants":"10",
"connects_required":6,
"payment_verified":true,
"phone_verified":true,
"client_country":"United States",
"buyer_location_city":"New York",
"buyer_location_localTime":"10:30 am",
"client_total_spent":2500,
"client_hires":5,
"client_rating":4.95,
"client_reviews":"12 reviews",
"ts_publish":"2023-10-27T10:00:00.000Z"
}

Output Fields

The actor extracts the following fields for each job, when available:

• Job Details: job_id, url, title, description, type (Hourly/Fixed-price), level, duration, hourly_commitment, skills, qualifications, questions, category_name, isContractToHire, premium, enterpriseJob.
• Budget: fixed_budget_amount, hourly_min, hourly_max, currency.
• Timestamps: ts_create, ts_publish.
• Job Activity: applicants, clientActivity_invitationsSent, clientActivity_unansweredInvites, clientActivity_totalInvitedToInterview, lastBuyerActivity.
• Client Info: payment_verified, phone_verified, client_country, buyer_location_city, buyer_location_localTime, client_industry, client_company_size, client_member_since, client_hours_worked, client_active_status.
• Client Stats: client_total_spent, client_hires, client_rating, client_reviews, buyer_jobs_postedCount, buyer_jobs_openCount, buyer_avgHourlyJobsRate_amount, buyer_stats_hoursCount.
• Contract Details: contract_to_hire_details (detailed description of contract-to-hire opportunities).

Usage

1. Navigate to the Actor page on the Apify platform.
2. Click "Try actor".
3. Enter your input configuration in the JSON editor. At a minimum, provide your credentials.
4. Click "Start" to run the actor.
5. Once the run is complete, view and download the results from the "Dataset" tab.