# Upwork Scraper - Freelance Jobs, Budget & Skills (`thirdwatch/upwork-jobs-scraper`) Actor Scrape Upwork freelance job listings: title, description, budget (fixed/hourly), required skills, client rating, client spend, proposals count, and posting date. World's largest freelance marketplace. No login needed. - **URL**: https://apify.com/thirdwatch/upwork-jobs-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Jobs, Lead generation - **Stats:** 28 total users, 12 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 Scraper > Scrape Upwork freelance job listings — titles, descriptions, budgets, required skills, client ratings, spend history, and proposal counts. ### What you get Structured freelance job data from Upwork, the world's largest freelance marketplace. Search by keyword and get job titles, full descriptions, budgets (fixed or hourly), required skills, experience levels, client ratings, client spend history, client locations, and proposal counts. No Upwork login needed. ### Output fields | Field | Description | |-------|-------------| | `title` | Job title | | `description` | Full job description | | `budget_type` | `Fixed` or `Hourly` | | `budget_min` | Minimum budget (fixed-price jobs) | | `budget_max` | Maximum budget (fixed-price jobs) | | `hourly_rate` | Hourly rate range (hourly jobs) | | `skills` | Required skills / tags | | `experience_level` | `Entry`, `Intermediate`, or `Expert` | | `client_rating` | Client's overall rating on Upwork | | `client_spend` | Client's total historical spend on Upwork | | `client_location` | Client's country | | `client_hires` | Total number of hires by the client | | `client_jobs_posted` | Total jobs posted by the client | | `proposals_count` | Number of proposals received | | `proposals_range` | Proposal range bucket (e.g., "20 to 50") | | `connects_required` | Connects needed to apply | | `is_featured` | Whether the job is featured | | `project_length` | Expected project duration | | `posted_date` | When the job was posted | | `country` | Client/job country | | `url` | Upwork job URL | ### Example output ```json { "title": "React Native Mobile App Developer", "description": "Looking for an experienced React Native developer to build a cross-platform marketplace app from scratch...", "budget_type": "Fixed", "budget_min": 5000, "budget_max": 10000, "skills": ["React Native", "JavaScript", "iOS", "Android"], "experience_level": "Expert", "client_rating": 4.8, "client_spend": "$150K+", "client_location": "United States", "proposals_range": "20 to 50", "project_length": "1 to 3 months", "posted_date": "2026-04-20", "url": "https://www.upwork.com/jobs/~01abcdef1234567890" } ```` ### Input parameters | Parameter | Required | Description | |-----------|----------|-------------| | `queries` | Yes | Search queries (e.g., `["python developer", "react frontend"]`). Each query runs a separate Upwork search. | | `maxResults` | No | Maximum total jobs to return across all queries. Upwork shows 10 jobs per page. Default `5`. | | `proxyConfiguration` | No | Apify proxy settings. Leave default for best results. | ### Use cases - **Freelancers**: Track new postings in your niche, compare budgets, and calibrate proposal pricing. - **Agencies**: Monitor demand for specific skills and spot clients with large spend histories. - **Market researchers**: Analyze freelance rates and project volumes by skill and region. - **Recruiters**: Understand freelance compensation ranges when planning internal budgets. ### Pricing Pay-per-result pricing. Tiered discounts apply automatically based on usage volume. | Tier | Price per result | |------|------------------| | FREE | $0.008 | | BRONZE | $0.006 | | SILVER | $0.005 | | GOLD | $0.004 | ### Limitations - Upwork listings are time-sensitive and can close within hours of posting. - Client information reflects only what Upwork displays publicly; some clients hide spend or rating. - Budget ranges and proposal counts are approximate bands, not exact figures. - Upwork has aggressive bot protection; very large parallel runs may slow down. ### Compared to alternatives - **vs. neatrat/upwork-scraper** (~$0.0035 per result, 2.9K users): Their scraper is cheaper thanks to a cookie-pool trick. This actor is positioned as the reliable, no-setup alternative — you get the same fields without maintaining cookie pools, and it keeps working when their cookie pool gets burned. Pairs well with [LinkedIn Profile Scraper](https://apify.com/thirdwatch/linkedin-profile-scraper?fpr=9m2cd6) for enriching client or freelancer research. ### FAQ **Do I need an Upwork account?** No. The actor only reads public search results. **Can I filter by budget type or experience level?** Not directly via input today — include terms in your `queries` (e.g., `"expert python developer"`) for keyword-level targeting. **How many jobs can I pull per run?** Up to 500 via `maxResults`. Bear in mind Upwork only returns 10 per page, so large runs walk through many pages. **How fresh is the data?** Pulled live at run time — as fresh as Upwork itself. Last verified: 2026-04 More scrapers at [thirdwatch.dev](https://thirdwatch.dev). # Actor input Schema ## `queries` (type: `array`): Job search queries, e.g. 'python developer', 'react frontend'. Each query returns Upwork search results. ## `maxResults` (type: `integer`): Maximum total jobs to return across all queries. Upwork shows 10 jobs per page. ## `proxyConfiguration` (type: `object`): Proxy settings. Leave default for best results. ## Actor input object example ```json { "queries": [ "python developer" ], "maxResults": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "queries": [ "python developer" ], "maxResults": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/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 = { "queries": ["python developer"], "maxResults": 5, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/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 '{ "queries": [ "python developer" ], "maxResults": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call thirdwatch/upwork-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/upwork-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Upwork Scraper - Freelance Jobs, Budget & Skills", "description": "Scrape Upwork freelance job listings: title, description, budget (fixed/hourly), required skills, client rating, client spend, proposals count, and posting date. World's largest freelance marketplace. No login needed.", "version": "1.3", "x-build-id": "FCaiY2LfE8y0Izpj6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~upwork-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~upwork-jobs-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~upwork-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "queries" ], "properties": { "queries": { "title": "Search Queries", "type": "array", "description": "Job search queries, e.g. 'python developer', 'react frontend'. Each query returns Upwork search results.", "default": [ "python developer" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum total jobs to return across all queries. Upwork shows 10 jobs per page.", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Leave default for best results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```