# Upwork Jobs Scraper 2026 (`devcake/upwork-jobs-scraper`) Actor Extract Upwork job postings including descriptions, required skills, hourly rates, and fixed-price budgets. Find remote freelance opportunities automatically. - **URL**: https://apify.com/devcake/upwork-jobs-scraper.md - **Developed by:** [devcake](https://apify.com/devcake) (community) - **Categories:** Jobs, Other - **Stats:** 263 total users, 98 monthly users, 96.5% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Upwork Jobs Scraper Extract freelance job listings from Upwork: remote work opportunities, project budgets, required skills, and client details. Perfect for gig economy research and freelance job tracking. --- ### 💼 What It Does This Upwork job scraper extracts freelance opportunities from the world's largest remote work marketplace. It captures complete job postings including project descriptions, required skills 💻, budget ranges 💰 (hourly rates or fixed prices), experience requirements, and client hiring history. Use powerful filters to find entry-level freelance jobs, expert consulting gigs, or anything in between. --- ### 👥 Who It's For - 👤 **Freelancers & Contractors** - Find remote work and contract jobs matching your skills - 🏢 **Digital Agencies** - Monitor competitor pricing and track market trends - 🎯 **Recruiters & HR** - Source talent by analyzing freelance job market demand - 📊 **Market Researchers** - Study gig economy trends, salary benchmarks, and skill demand - 💡 **Career Coaches** - Help clients navigate the freelance marketplace --- ### 📋 Data You Get | Field | Description | |-------|-------------| | 📝 Title | Job posting title and headline | | 📄 Description | Full project description and requirements | | 🛠️ Skills | Required technologies and expertise | | 💰 Budget | Hourly rate range ($/hr) or fixed price amount | | ⏱️ Job Type | Hourly contract or Fixed-price project | | 📊 Experience Level | Entry ($) | Intermediate ($$) | Expert ($$$) | | ⏳ Duration | Project timeline: 1 week to ongoing | | 👤 Client Info | Hiring history and verification status | | 📅 Posted Date | When the job was published on Upwork | | 🔗 Job URL | Direct link to view and apply | --- ### 💡 Use Cases #### 🔍 Freelance Job Search Search thousands of Upwork remote jobs with multiple keywords at once. Filter by budget range to focus on high-paying contract work, sort by recency to find fresh leads, and target jobs matching your exact experience level. #### 📈 Gig Economy Market Research Analyze freelance market trends across industries. Track which skills are in highest demand 📊, monitor pricing patterns 💹, and identify emerging opportunities in the remote work landscape. #### 🎯 Lead Generation & Client Prospecting Build a database of potential clients based on their hiring frequency and project types. Identify businesses that regularly post freelance jobs and understand their budget patterns. #### 💵 Rate Benchmarking & Pricing Intelligence Research competitive hourly rates and fixed project prices in your field. Compare your rates against market standards and optimize your freelance pricing strategy. --- ### 🚀 Quick Start 1. 🔎 **Configure Search** - Enter job keywords like "python developer" or "graphic designer" 2. ⚙️ **Apply Filters** - Select job type, experience level, budget range, and duration 3. ▶️ **Run Scraper** - Launch to extract Upwork job listings automatically 4. 📥 **Download Results** - Get your data in JSON, CSV, or Excel format --- ### ⚙️ Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | 🔎 Search Queries | array | No | Keywords to find freelance jobs. Leave empty for all jobs. | | 📊 Results Per Query | integer | No | Max jobs to scrape per query (1-100). Default: 20 | | 📋 Sort By | string | No | Sort by: Most Relevant | Most Recent | Highest Budget | | ⏱️ Job Type | array | No | Filter: Hourly Rate 💵 or Fixed Price 🏷️ | | 📊 Experience Level | array | No | Filter: Entry Level | Intermediate | Expert | | ⏳ Workload | array | No | Filter: Full-time (30+ hrs) | Part-time | As Needed | | 📅 Project Duration | array | No | Filter: <1 week | 1-3 months | 3-6 months | Ongoing | | 💰 Budget Range | array | No | Filter: Under $100 | $100-$499 | $500-$999 | $1,000-$4,999 | $5,000+ | | 👥 Client Hiring History | array | No | Filter: New clients | 1-9 hires | 10+ hires (experienced) | | 🌐 Proxy Configuration | object | No | Recommended for reliable scraping | | ⏱️ Request Delay | integer | No | Seconds between requests. Default: 2 | --- ### 📝 Example #### Input ```json { "searchQueries": ["python developer", "web scraping"], "maxItems": 50, "sort": "recency+desc", "experienceLevel": ["IntermediateLevel", "ExpertLevel"], "jobType": ["hourly"], "budget": ["500-999", "1000-4999"] } ```` #### Output ```json { "id": "upwork:job:178234567890", "title": "Senior Python Web Scraping Developer", "description": "Looking for an experienced Python developer to build data extraction pipelines...", "skills": ["Python", "Web Scraping", "BeautifulSoup", "Selenium", "API Integration"], "budget": "$40-$80/hr", "jobType": "HOURLY", "contractorTier": "ExpertLevel", "duration": "1 to 3 months", "publishTime": "2026-03-18T10:30:00Z", "url": "https://www.upwork.com/jobs/~0123456789abcdef0123" } ``` # Actor input Schema ## `searchQueries` (type: `array`): List of search queries to find jobs. Each query runs separately and results are aggregated. Leave empty to get all jobs. ## `maxItems` (type: `integer`): Maximum number of jobs to scrape per search query (1-100). ## `sort` (type: `string`): How to sort the search results ## `jobType` (type: `array`): Filter by job payment type. Leave empty for all types. ## `experienceLevel` (type: `array`): Filter jobs by required experience level. Leave empty for all levels. ## `workload` (type: `array`): Filter by workload intensity. Leave empty for all. ## `duration` (type: `array`): Filter by estimated project duration. Leave empty for all. ## `budget` (type: `array`): Filter by budget amount (for fixed-price jobs). Leave empty for all. ## `clientHires` (type: `array`): Filter by how many hires the client has made. Leave empty for all. ## `proxyConfiguration` (type: `object`): Proxy settings for requests. Upwork requires residential proxies - datacenter IPs are blocked by Cloudflare. US residential proxies are recommended for best results. ## `requestDelay` (type: `integer`): Delay between requests to avoid rate limiting. Higher values are safer. ## Actor input object example ```json { "searchQueries": [ "python developer" ], "maxItems": 20, "sort": "relevance+desc", "jobType": [], "experienceLevel": [], "workload": [], "duration": [], "budget": [], "clientHires": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountries": [ "US" ] }, "requestDelay": 2 } ``` # Actor output Schema ## `dataset` (type: `string`): Complete dataset of all scraped jobs ## `overview` (type: `string`): Simplified view with key job fields ## `summary` (type: `string`): Statistics and metadata about the scraping run # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "python developer" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountries": [ "US" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("devcake/upwork-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["python developer"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountries": ["US"], }, } # Run the Actor and wait for it to finish run = client.actor("devcake/upwork-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "python developer" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountries": [ "US" ] } }' | apify call devcake/upwork-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devcake/upwork-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Upwork Jobs Scraper 2026", "description": "Extract Upwork job postings including descriptions, required skills, hourly rates, and fixed-price budgets. Find remote freelance opportunities automatically.", "version": "1.0", "x-build-id": "ToTHdR14Wq6UtZuvI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devcake~upwork-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devcake-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devcake~upwork-jobs-scraper/runs": { "post": { "operationId": "runs-sync-devcake-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devcake~upwork-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-devcake-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "List of search queries to find jobs. 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 } } } } } } } } } } ```