# Upwork Jobs Scraper (`valig/upwork-jobs-scraper`) Actor $0.4/1K jobs 🔍 Scrape targeted Upwork job listings with advanced filters for skills, budgets, clients, and project requirements. 🚀 - **URL**: https://apify.com/valig/upwork-jobs-scraper.md - **Developed by:** [Vali G](https://apify.com/valig) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.28 / 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 ![](https://pub-f6a65c213d4f49948940882ac7589d61.r2.dev/apify/upwork-jobs-scraper/banner.jpg) ### 🚀 Overview **Upwork Jobs Scraper** is a powerful Apify actor designed to extract job postings from Upwork. Whether you are a freelancer looking for your next gig, an agency tracking market demand, or a researcher analyzing the gig economy, this tool allows you to scrape highly targeted job listings using Upwork's native search filters. ### ✨ Features This scraper supports an extensive set of search and filtering capabilities to ensure you get exactly the data you need: * **Keyword Search:** Target specific job titles and descriptions. * **Granular Categorization:** Filter by main categories (e.g., Web Development, Design, Accounting) and subcategories. * **Project Specifications:** Filter by job type (Hourly vs. Fixed-Price), project duration, and expected weekly workload. * **Contractor Requirements:** Specify the required experience level (Entry Level, Intermediate, Expert) and identify contract-to-hire roles. * **Client Information:** Filter jobs based on client location, timezone, and previous hiring history on Upwork. * **Custom Limits & Sorting:** Sort by relevance or recency and set an exact limit on the number of results to extract. ### ⚙️ Input Parameters The actor is highly customizable. Below is a breakdown of the available input parameters you can configure: | Field | Type | Default | Description | | --- | --- | --- | --- | | **`keywords`** | String | - | Keywords to search for in job titles and descriptions (e.g., "Software Developer"). | | **`sort`** | Select | `relevance` | Sort results by `relevance` or `recency`. | | **`category2_uid`** | Array | - | Select one or more broad job categories (e.g., Web, Mobile & Software Dev, Design & Creative). | | **`subcategory2_uid`** | Array | - | Provide specific subcategory UIDs to narrow down the job niche. | | **`contractor_tier`** | Array | - | Target specific experience levels: Entry Level (1), Intermediate (2), or Expert (3). | | **`t`** | Array | - | Filter by Job Type: Hourly (0) or Fixed-Price (1). | | **`client_hires`** | Array | - | Filter by the client's hiring history: No hires (0), 1-9 hires, or 10+ hires. | | **`location`** | Array | - | Target specific client countries (e.g., "United States", "Canada"). | | **`timezone`** | Array | - | Target specific client time zones (e.g., "America/New_York"). | | **`duration_v3`** | Array | - | Filter by project length (e.g., less than one month, 1-3 months, 3-6 months, ongoing). | | **`workload`** | Array | - | Specify weekly hour requirements (e.g., less or more than 30 hrs/week). | | **`contract_to_hire`** | Boolean | `false` | Set to true to only show roles that are marked as contract-to-hire. | | **`limit`** | Integer | `100` | The maximum number of job postings you want to scrape. | ### 📊 Output Data Structure The scraper extracts comprehensive details about each job posting, including budget, required skills, timestamps, and client insights. The results are stored in your Apify dataset and can be exported as JSON, CSV, Excel, etc. Here is an example of the output format for a single job posting: ```json { "id": "2054605878443018309", "cipherText": "~022054605878443018309", "url": "https://www.upwork.com/jobs/~022054605878443018309", "title": "Full-Stack Developer for Web Application", "jobType": "FIXED", "weeklyRetainerBudget": null, "hourlyBudgetMax": null, "hourlyBudgetMin": null, "hourlyEngagementType": null, "contractorTier": "IntermediateLevel", "sourcingTimestamp": null, "createTime": "2026-05-13T16:53:09.177Z", "publishTime": "2026-05-13T16:55:13.760Z", "enterpriseJob": false, "personsToHire": 1, "premium": false, "totalApplicants": 55, "hourlyEngagementDuration": null, "fixedPriceAmount": { "isoCurrencyCode": null, "amount": "100.0" }, "fixedPriceEngagementDuration": { "id": "474250516458926082", "rid": 3, "label": "1 to 3 months", "weeks": 9, "ctime": "2014-06-04T17:59:10.123Z", "mtime": "2014-06-04T17:59:10.123Z" }, "skills": [ { "uid": "996364628025274383", "prefLabel": "JavaScript", "highlighted": false }, { "uid": "1031626745118703616", "prefLabel": "HTML5", "highlighted": false }, { "uid": "996364628025274385", "prefLabel": "PHP", "highlighted": false }, { "uid": "1031626751737315328", "prefLabel": "jQuery", "highlighted": false } ], "client": { "paymentVerificationStatus": "VERIFIED", "country": "United States", "totalReviews": 21, "totalFeedback": 5, "hasFinancialPrivacy": false, "totalSpent": { "isoCurrencyCode": "USD", "amount": "3099.22" } }, "description": "We are seeking a skilled full-stack developer to enhance our web application. The ideal candidate will have experience in both front-end and back-end development, with a strong understanding of web technologies. Responsibilities include developing new features, optimizing performance, and ensuring a seamless user experience. The role requires collaboration with our team to identify and prioritize project needs.\n\n\nThe work includes frontend and backend development, API integration, database handling, and performance optimization. We are looking for someone who writes clean, maintainable code and understands how to build scalable applications.\nResponsibilities\nDevelop and improve application features\nBuild responsive frontend interfaces\nCreate and maintain backend APIs\nWork with databases and authentication systems\nFix bugs and optimize application performance\nPreferred Skills\nMERN Stack (MongoDB, Express.js, React.js, Node.js)\nREST APIs\nPostgreSQL\nGit/version control\nBudget\nFixed Price: $100\nIdeal Candidate\nStrong full-stack development experience\nGood communication and problem-solving skills\nAttention to detail\nAbility to deliver clean and scalable work on time\nPlease share:\nRelevant projects or portfolio" } ```` ### 🚀 Common Use Cases - **Lead Generation:** Automatically find and apply to high-value projects that match your exact skillset and pricing model. - **Market Research:** Analyze trends in required skills, average budgets, and emerging technologies in specific categories. - **Agency Optimization:** Monitor competitor activity and find clients who consistently hire for long-term (ongoing) projects. # Actor input Schema ## `keywords` (type: `string`): Keywords to search in job titles and descriptions ## `sort` (type: `string`): Sort search results by relevance or recency ## `category2_uid` (type: `array`): Select one or more categories ## `subcategory2_uid` (type: `array`): Select one or more subcategories ## `contractor_tier` (type: `array`): Select one or more experience levels ## `t` (type: `array`): Select one or more job types ## `client_hires` (type: `array`): Select one or more client hire histories ## `location` (type: `array`): Select one or more client locations ## `timezone` (type: `array`): Select one or more client time zones ## `duration_v3` (type: `array`): Select one or more project lengths ## `workload` (type: `array`): Select how many hours per week you want to work on the project ## `contract_to_hire` (type: `boolean`): Show only contract-to-hire roles ## `limit` (type: `integer`): Maximum results count ## Actor input object example ```json { "keywords": "Software Developer", "sort": "relevance", "category2_uid": [ "531770282580668418" ], "subcategory2_uid": [ "531770282593251330" ], "location": [ "Canada", "United States" ], "timezone": [ "America/New_York" ], "limit": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("valig/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 = {} # Run the Actor and wait for it to finish run = client.actor("valig/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 '{}' | apify call valig/upwork-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=valig/upwork-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Upwork Jobs Scraper", "description": "$0.4/1K jobs 🔍 Scrape targeted Upwork job listings with advanced filters for skills, budgets, clients, and project requirements. 🚀", "version": "0.0", "x-build-id": "zXEfTNO3EC7zRAaaQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/valig~upwork-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-valig-upwork-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/valig~upwork-jobs-scraper/runs": { "post": { "operationId": "runs-sync-valig-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/valig~upwork-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-valig-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": { "keywords": { "title": "Job title", "type": "string", "description": "Keywords to search in job titles and descriptions" }, "sort": { "title": "Sort by", "enum": [ "relevance", "recency" ], "type": "string", "description": "Sort search results by relevance or recency", "default": "relevance" }, "category2_uid": { "title": "Category", "type": "array", "description": "Select one or more categories", "items": { "type": "string", "enum": [ "531770282584862721", "531770282580668416", "531770282580668417", "531770282580668420", "531770282580668421", "531770282584862722", "531770282580668419", "531770282584862723", "531770282580668422", "531770282584862720", "531770282580668418", "531770282580668423" ], "enumTitles": [ "Accounting & Consulting", "Admin Support", "Customer Service", "Data Science & Analytics", "Design & Creative", "Engineering & Architecture", "IT & Networking", "Legal", "Sales & Marketing", "Translation", "Web, Mobile & Software Dev", "Writing" ] } }, "subcategory2_uid": { "title": "Subcategory UID", "type": "array", "description": "Select one or more subcategories", "items": { "type": "string" } }, "contractor_tier": { "title": "Experience level", "type": "array", "description": "Select one or more experience levels", "items": { "type": "string", "enum": [ "1", "2", "3" ], "enumTitles": [ "Entry Level", "Intermediate", "Expert" ] } }, "t": { "title": "Job type", "type": "array", "description": "Select one or more job types", "items": { "type": "string", "enum": [ "0", "1" ], "enumTitles": [ "Hourly", "Fixed-Price" ] } }, "client_hires": { "title": "Client history", "type": "array", "description": "Select one or more client hire histories", "items": { "type": "string", "enum": [ "0", "1-9", "10-" ], "enumTitles": [ "No hires", "1 to 9 hires", "10+ hires" ] } }, "location": { "title": "Client location", "type": "array", "description": "Select one or more client locations", "items": { "type": "string" } }, "timezone": { "title": "Client time zones", "type": "array", "description": "Select one or more client time zones", "items": { "type": "string" } }, "duration_v3": { "title": "Project length", "type": "array", "description": "Select one or more project lengths", "items": { "type": "string", "enum": [ "week", "month", "semester", "ongoing" ], "enumTitles": [ "Less than one month", "1 to 3 months", "3 to 6 months", "More than 6 months" ] } }, "workload": { "title": "Hours per week", "type": "array", "description": "Select how many hours per week you want to work on the project", "items": { "type": "string", "enum": [ "as_needed", "full_time" ], "enumTitles": [ "Less than 30 hrs/week", "More than 30 hrs/week" ] } }, "contract_to_hire": { "title": "Contract-to-hire roles", "type": "boolean", "description": "Show only contract-to-hire roles" }, "limit": { "title": "Results limit", "minimum": 1, "type": "integer", "description": "Maximum results count", "default": 100 } } }, "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 } } } } } } } } } } ```