# 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:** 126 total users, 28 monthly users, 99.7% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.50 / 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 setup. Get structured Upwork job data plus client intelligence in one call. Works with any search query (`google ads`, `python developer`, `react`, `copywriter`, anything Upwork supports). Bypasses Cloudflare automatically with a real browser fingerprint. ### Why this scraper Most Upwork scrapers stop at title + budget + skills. This one returns the **client intelligence** that actually determines whether a job is worth applying to: - Client country (filter by region) - Total client spend on Upwork (filter low-spenders out) - Payment verified status (skip unverified clients) - Number of proposals already submitted (skip saturated jobs) - Contract type and budget range - Full description text - Experience level required Use it to feed a lead-scoring pipeline, automate proposal generation, or build a job alerting system that filters noise BEFORE sending you a notification. ### Input ```json { "query": "python developer", "max_jobs": 50 } ```` | Field | Type | Required | Default | Notes | |---|---|---|---|---| | `query` | string | yes | `web scraping` | Any Upwork search keyword | | `max_jobs` | integer | no | `10` | 1 to 200. Pagination handled automatically. | ### Output fields Each job returns the following structured fields: | Field | Type | Description | Example | |---|---|---|---| | `jobId` | string | Unique Upwork job ID (use for deduplication) | `022027586354497239213` | | `title` | string | Job title | `Senior Google Ads Specialist` | | `description` | string | Full job description | `Looking for an expert to manage...` | | `contractType` | string | Contract type and rate | `Hourly: $60.00 - $120.00` | | `budget` | string | Budget for fixed-price jobs | `$2,500.00` | | `experienceLevel` | string | Required experience | `Expert`, `Intermediate`, `Entry` | | `duration` | string | Estimated project duration | `3 to 6 months, < 30 hrs/week` | | `postedOn` | string | Time since posting | `21 minutes ago` | | `extraSkills` | array | Required skills | `["Google Ads", "PPC"]` | | `proposals` | string | Proposal count bucket | `Less than 5`, `10 to 15`, `20 to 50` | | `clientCountry` | string | Client country | `United States`, `Germany` | | `clientTotalSpent` | string | Lifetime spend on Upwork | `$50K+`, `$10K to $50K` | | `clientVerified` | boolean | Payment method verified | `true` | | `url` | string | Direct link to the job | `https://www.upwork.com/jobs/~022027...` | ### 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. We've been on Shopify for 4 years and need...", "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", "extraSkills": ["Google Ads", "PPC Campaign Setup & Management", "Pay Per Click Advertising"], "proposals": "10 to 15", "clientCountry": "United States", "clientTotalSpent": "$50K+", "clientVerified": true, "url": "https://www.upwork.com/jobs/~022027586354497239213" } ``` ### Use cases #### Freelancers Monitor new Upwork postings matching your skills. Filter on `clientTotalSpent` and `clientVerified` so you only apply to clients who actually pay. Apply before competitors fill the proposal queue (`proposals` field). #### AI proposal pipelines Feed each job into a Claude or GPT prompt that scores fit, drafts a tailored proposal, and queues it for review. The full `description` plus client data gives the LLM what it needs. #### Lead generation Search for companies hiring services you offer. Filter on `clientCountry` and `clientTotalSpent` to identify accounts worth direct outreach. #### Market intelligence Track demand trends for specific skills, budget ranges, or geographies. Run daily, push to BigQuery or a Google Sheet, watch what changes. ### Automation with n8n / Make / Zapier 1. **HTTP Request** node: `POST https://api.apify.com/v2/acts/gio21~upwork-jobs-scraper/run-sync-get-dataset-items` 2. Headers: `Authorization: Bearer ` 3. Body: `{"query": "your keyword", "max_jobs": 50}` 4. Use the `jobId` field to dedupe against a Google Sheet or database. 5. Branch by `clientCountry`, `experienceLevel`, or `proposals` to filter ruthlessly. 6. Send matched jobs to Slack, Telegram, or an LLM proposal-draft step. The actor supports synchronous calls that return the dataset directly. No polling needed. ### Pricing **$1.50 per 1,000 jobs** scraped (live). | Jobs | Cost | |---|---| | 10 | $0.015 | | 100 | $0.15 | | 1,000 | $1.50 | | 10,000 | $15.00 | Pay only for jobs returned. Subscription-tier discounts (down to **$1.00 per 1,000** for higher Apify plans) roll out **June 11, 2026**. ### FAQ **How fresh are the results?** Each run hits Upwork in real time and returns jobs as Upwork displays them. Newest jobs first. **Can I filter by location, hourly rate, or category?** Use the `query` field. Upwork supports search operators like `"python developer location:United States"` or `"react budget:$1000+"`. Anything you can type in Upwork's search bar works here. **Does it handle Cloudflare?** Yes. Uses a real browser fingerprint, no manual proxy setup required. **Does it require an Upwork login?** No. All returned fields work without authentication. **What if a field is empty?** Some Upwork postings genuinely lack a field (older fixed-price jobs without budget, brand-new clients without spend history). Those fields will be `null` on the affected rows. Title, jobId, description and url are always populated for valid jobs. **Can I deduplicate runs?** Yes. The `jobId` is the canonical Upwork ID. Store it in your DB or sheet and skip duplicates on subsequent runs. **How do I increase `max_jobs` above the default?** Bump the input value up to 200 per run. For more than 200, schedule multiple runs with different keywords. ### Limitations - **Cloudflare changes**: Upwork can update bot detection. If results stop coming back, open an issue and we patch within hours. - **Rate limit**: One concurrent run per query is the safe ceiling. Two-plus parallel runs on the same query can trigger temporary IP blocks. - **No saved-job sync**: The actor reads from Upwork search, not your personal saved jobs. ### Built with - [puppeteer-real-browser](https://github.com/zfcsoftware/puppeteer-real-browser) for Cloudflare-resistant browser fingerprinting. - [Apify SDK](https://docs.apify.com/sdk/js/) for actor runtime and pay-per-event billing. ### Support Found a bug or want a missing field? Open an issue on the Apify Store page or message us via the Apify community. Average response time: under 24 hours. # 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": "y4WpJdLc3bgY2Qelp" }, "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 } } } } } } } } } } ```