# Upwork Job Scraper (`brilliant_gum/upwork-job-scraper`) Actor Scrape Upwork job listings by keyword or URL — no login needed. Get title, budget, skills, and full client history (country, total spent, rating, payment verified). Filter by hourly or fixed-price jobs. - **URL**: https://apify.com/brilliant\_gum/upwork-job-scraper.md - **Developed by:** [Yuliia Kulakova](https://apify.com/brilliant_gum) (community) - **Categories:** Jobs, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.02 / job scraped This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Job Scraper ![Upwork Job Scraper](https://i.imgur.com/coG5xZU.png) Find the right freelance opportunities — or scout the competition — without logging in. This actor searches Upwork by keyword or URL and returns clean, structured job data including budgets, required skills, and full client history. --- ### What You Get Every job listing comes with everything you need to make a decision: - **Job details** — title, description, type (hourly or fixed), budget, duration - **Required skills** — exactly as listed by the client - **Client profile** — country, total money spent on Upwork, rating, number of reviews, payment verification status - **Publication date** — know how fresh each listing is - **Direct URL** — one click to the job on Upwork --- ### Features - **No login required** — works out of the box, no Upwork account needed - **Keyword search** — search multiple queries in one run - **URL support** — paste any Upwork search URL directly - **Job type filter** — get only hourly or only fixed-price jobs - **Sort options** — by recency or relevance - **Deduplication** — no repeated listings when running multiple keywords - **Residential proxy** — built-in, bypasses blocks automatically --- ### Input Example **Simple keyword search:** ```json { "searchQueries": ["python developer", "data analyst"], "maxJobsPerQuery": 50, "sort": "recency" } ```` **Hourly only:** ```json { "searchQueries": ["graphic designer"], "maxJobsPerQuery": 30, "jobType": "hourly", "sort": "recency" } ``` **From a search URL:** ```json { "searchUrls": ["https://www.upwork.com/nx/search/jobs/?q=react+developer&sort=recency"], "maxJobsPerQuery": 20 } ``` *** ### Output Example ```json { "id": "~022051906581251434930", "title": "IoT Water Flow Monitoring — Arduino/Pi + Python + React Dashboard", "url": "https://www.upwork.com/jobs/~022051906581251434930", "description": "I am building a tabletop demonstration prototype of a water flow monitoring system...", "jobType": "fixed", "experienceLevel": null, "skills": ["Python", "Arduino", "Raspberry Pi", "JavaScript", "React"], "budgetFixed": { "amount": 1600 }, "budgetHourly": null, "durationWeeks": 9, "durationLabel": "1 to 3 months", "publishedAt": "2026-05-06T09:08:36.734Z", "client": { "country": "United States", "totalSpent": 1786.61, "rating": 5, "reviewsCount": 5, "paymentVerified": true }, "scrapedAt": "2026-05-06T09:19:58.047Z" } ``` *** ### Output Fields | Field | Type | Description | |-------|------|-------------| | `id` | String | Unique Upwork job ID | | `title` | String | Job title | | `url` | String | Direct link to the job posting | | `description` | String | Full job description (up to 2,000 characters) | | `jobType` | String | `hourly` or `fixed` | | `skills` | Array | Required skills listed by the client | | `budgetFixed` | Object | Fixed price `{ amount }` in USD | | `budgetHourly` | Object | Hourly range `{ min, max }` in USD | | `durationWeeks` | Number | Project length in weeks | | `durationLabel` | String | Human-readable duration (e.g. "1 to 3 months") | | `publishedAt` | String | ISO timestamp when the job was posted | | `client.country` | String | Client's country | | `client.totalSpent` | Number | Total USD spent by client on Upwork | | `client.rating` | Number | Client rating (0–5) | | `client.reviewsCount` | Number | Number of reviews received | | `client.paymentVerified` | Boolean | Whether payment method is verified | | `scrapedAt` | String | ISO timestamp when scraped | *** ### Pricing | Event | Price | |-------|-------| | Per job scraped | **$0.02** | Scraping 100 jobs costs $2. Scraping 1,000 jobs costs $20. *** ### Use Cases **Freelancers** — Monitor your niche daily. Know the moment new projects are posted, track average budgets, and find clients with strong spending history before applying. **Agencies** — Research demand for specific skills across markets. See what clients are willing to pay and how competitive the space is. **Recruiters** — Identify companies actively hiring through Upwork and understand their project patterns and budget ranges. **Market researchers** — Analyze freelance market trends: which skills are in demand, what hourly rates look like, and how spending patterns vary by country. **Lead generation** — Find clients who regularly post jobs and have a verified payment method and strong review history. *** ### Tips - **Use multiple keywords** in one run to maximize coverage — results are deduplicated automatically - **Filter by `jobType: hourly`** if you're looking for long-term contracts; fixed-price jobs tend to be one-off tasks - **Check `client.totalSpent`** — clients who've spent $10,000+ on Upwork are far more likely to hire and pay on time - **Set `sort: relevance`** when you want the most on-topic results; use `recency` to catch fresh postings first - **Paste a search URL** if you've already filtered jobs in Upwork's search interface and want to scrape exactly that view # Actor input Schema ## `searchQueries` (type: `array`): List of keywords to search for (e.g. 'python developer', 'react designer'). Used when no search URLs are provided. ## `searchUrls` (type: `array`): Optional: paste full Upwork search URLs (e.g. https://www.upwork.com/nx/search/jobs/?q=python). Keywords are extracted and merged with searchQueries. ## `maxJobsPerQuery` (type: `integer`): Maximum number of job listings to scrape per search query. ## `sort` (type: `string`): Sort results by recency or relevance. ## `jobType` (type: `string`): Filter by hourly, fixed-price, or all. ## Actor input object example ```json { "searchQueries": [ "python developer" ], "maxJobsPerQuery": 50, "sort": "recency", "jobType": "" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "python developer" ] }; // Run the Actor and wait for it to finish const run = await client.actor("brilliant_gum/upwork-job-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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"] } # Run the Actor and wait for it to finish run = client.actor("brilliant_gum/upwork-job-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" ] }' | apify call brilliant_gum/upwork-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brilliant_gum/upwork-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Upwork Job Scraper", "description": "Scrape Upwork job listings by keyword or URL — no login needed. Get title, budget, skills, and full client history (country, total spent, rating, payment verified). Filter by hourly or fixed-price jobs.", "version": "1.0", "x-build-id": "cWvV59CZ18lt8tt8z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brilliant_gum~upwork-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brilliant_gum-upwork-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brilliant_gum~upwork-job-scraper/runs": { "post": { "operationId": "runs-sync-brilliant_gum-upwork-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brilliant_gum~upwork-job-scraper/run-sync": { "post": { "operationId": "run-sync-brilliant_gum-upwork-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Keywords", "type": "array", "description": "List of keywords to search for (e.g. 'python developer', 'react designer'). Used when no search URLs are provided.", "items": { "type": "string" } }, "searchUrls": { "title": "Upwork Search URLs", "type": "array", "description": "Optional: paste full Upwork search URLs (e.g. https://www.upwork.com/nx/search/jobs/?q=python). Keywords are extracted and merged with searchQueries.", "items": { "type": "string" } }, "maxJobsPerQuery": { "title": "Max Jobs Per Query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to scrape per search query.", "default": 50 }, "sort": { "title": "Sort By", "enum": [ "recency", "relevance" ], "type": "string", "description": "Sort results by recency or relevance.", "default": "recency" }, "jobType": { "title": "Job Type", "enum": [ "", "hourly", "fixed" ], "type": "string", "description": "Filter by hourly, fixed-price, or all.", "default": "" } } }, "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 } } } } } } } } } } ```