# Upwork Jobs Scraper (`gio21/upwork-jobs-scraper`) Actor Scrape job listings from Upwork search results. Returns title, description, budget, skills, experience level, duration, and posting time. Bypasses Cloudflare automatically — no proxy needed. - **URL**: https://apify.com/gio21/upwork-jobs-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Jobs, Lead generation, AI - **Stats:** 28 total users, 15 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 job scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Scrape **Upwork** job listings by keyword — no API key, no login, no proxy required. Enter a search query and get structured Upwork job data instantly. Works with any Upwork search: "google ads", "python developer", "react", "copywriter" and more. Bypasses Cloudflare automatically using a real browser fingerprint. --- ### 🚀 What it does - Searches Upwork for jobs matching your keyword - Paginates automatically to reach your `max_jobs` target (Upwork returns up to 50 per page) - Extracts structured data from each Upwork listing - Returns results in JSON — ready for n8n, Make, Zapier, Google Sheets, or any pipeline - Runs in ~60–90 seconds per query --- ### 📦 Output fields | Field | Description | Example | |---|---|---| | `jobId` | Unique job ID (use for deduplication) | `022027586354497239213` | | `title` | Job title | `Google Ads Specialist` | | `description` | Job description (up to 600 chars) | `Looking for an expert...` | | `contractType` | Contract type + hourly rate | `Hourly: $60.00 - $120.00` | | `budget` | Budget for fixed-price jobs | `$2,500.00` | | `experienceLevel` | Required experience | `Expert` | | `duration` | Estimated project duration | `3 to 6 months, < 30 hrs/week` | | `postedOn` | Time since posting | `21 minutes ago` | | `skills` | Required skills list | `["Google Ads", "PPC", ...]` | | `extraSkills` | Number of hidden skills | `3` | | `url` | Direct link to the job | `https://www.upwork.com/jobs/~...` | --- ### ⚙️ Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `query` | string | ✅ | `web scraping` | Search keyword (e.g. `python developer`, `google ads specialist`) | | `max_jobs` | integer | ❌ | `10` | Max jobs to return (1–50) | #### Example input ```json { "query": "google ads specialist", "max_jobs": 10 } ```` *** ### 📊 Example output ```json [ { "jobId": "022027586354497239213", "title": "Meta + Google Ads help for established ecommerce brand", "description": "Looking for someone who understands how to grow a real brand without burning money...", "contractType": "Hourly: $60.00 - $120.00", "budget": "$60.00 - $120.00", "experienceLevel": "Expert", "duration": "More than 6 months, Less than 30 hrs/week", "postedOn": "13 hours ago", "skills": ["Google Ads", "PPC Campaign Setup & Management", "Pay Per Click Advertising"], "extraSkills": 7, "url": "https://www.upwork.com/jobs/~022027586354497239213" } ] ``` *** ### 💡 Use cases - **Freelancers** — Monitor new Upwork job postings matching your skills and apply early - **AI pipelines** — Feed Upwork job data into LLMs to filter, score, and generate proposals automatically - **Automation** — Connect to n8n or Make to receive Telegram/Slack alerts for new Upwork jobs - **Market research** — Track demand trends for specific skills on Upwork - **Lead generation** — Identify businesses actively hiring on Upwork for services you offer *** ### 🔄 Automating with n8n / Make 1. Add an **HTTP Request** node → POST to this actor's API endpoint 2. Pass `{ "query": "your keyword", "max_jobs": 10 }` as JSON body 3. Use the `jobId` field to deduplicate against a Google Sheet 4. Feed new jobs into an AI agent for filtering and proposal generation 5. Send matched jobs to Telegram or Slack *** ### 💰 Pricing **$1 per 1,000 jobs** scraped. - 10 jobs = $0.01 - 100 jobs = $0.10 - 1,000 jobs = $1.00 Pay only for what you use. No subscriptions. *** ### ⚠️ Notes & limitations - **Cloudflare bypass**: Works automatically with no proxy needed. If Upwork updates their bot detection, results may vary — open an issue if you encounter problems. - **Client data** (country, payment verified, proposals count): Not available without a logged-in session. This will be added in a future version with cookie-based authentication. - **Results per run**: Upwork shows 10 jobs per search page by default. Set `max_jobs` up to 50 to get more. - **Rate limiting**: Avoid running more than 1 concurrent run on the same query to prevent IP blocks. *** ### 🛠️ Built with - [puppeteer-real-browser](https://github.com/zfcsoftware/puppeteer-real-browser) — Real Chrome fingerprint to bypass Cloudflare - [Apify SDK](https://docs.apify.com/sdk/js/) — Actor framework and pay-per-event billing *** ### 📬 Support Found a bug or need a feature? Open an issue or reach out via the Apify community. # Actor input Schema ## `query` (type: `string`): Keywords to search for on Upwork (e.g. 'google ads specialist', 'python developer', 'react frontend') ## `max_jobs` (type: `integer`): Maximum number of jobs to return ## Actor input object example ```json { "query": "web scraping", "max_jobs": 10 } ``` # Actor output Schema ## `overview` (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 = { "max_jobs": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/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 = { "max_jobs": 10 } # Run the Actor and wait for it to finish run = client.actor("gio21/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 '{ "max_jobs": 10 }' | apify call gio21/upwork-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/upwork-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Upwork Jobs Scraper", "description": "Scrape job listings from Upwork search results. Returns title, description, budget, skills, experience level, duration, and posting time. Bypasses Cloudflare automatically — no proxy needed.", "version": "0.0", "x-build-id": "HZ2IZNJBrTLT3YdyN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~upwork-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~upwork-jobs-scraper/runs": { "post": { "operationId": "runs-sync-gio21-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~upwork-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "Keywords to search for on Upwork (e.g. 'google ads specialist', 'python developer', 'react frontend')", "default": "web scraping" }, "max_jobs": { "title": "Max Jobs", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of jobs to return", "default": 50 } } }, "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 } } } } } } } } } } ```