# Upwork Jobs Scraper (`getdataforme/upwork-jobs-scraper`) Actor The Upwork Job Scraper is a robust and reliable Apify Actor built to automatically extract detailed job postings from Upwork with precision and efficiency. It intelligently navigates job listings and captures structured data in real time, ensuring accurate and up-to-date results. - **URL**: https://apify.com/getdataforme/upwork-jobs-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Jobs, Lead generation, Other - **Stats:** 14 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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. 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 ### Introduction The Upwork Job Scraper is a powerful Apify Actor designed to extract job postings from Upwork efficiently and reliably. It automates the process of gathering detailed job data, including titles, descriptions, budgets, skills, and publication times, enabling freelancers, researchers, and businesses to analyze job opportunities at scale. This tool is ideal for anyone needing structured, high-quality job data without manual scraping. ### Features - **Comprehensive Data Extraction**: Scrapes full job details such as ID, title, description, job type, budget ranges, skills, publication and creation times, contractor tier, engagement details, and job URL from Upwork listings. - **High Reliability**: Built on Apify's CheerioCrawler for fast, error-resistant crawling with built-in retries. - **Customizable Limits**: Set a maximum limit on the number of jobs to scrape to control data volume and avoid overloading sources. - **Location Filtering**: Filter jobs by specific locations to target regional opportunities. - **Structured Output**: Delivers clean JSON data, easily exportable to CSV, Excel, or databases. - **Scalable Performance**: Handles keyword-based searches efficiently, making it suitable for large-scale scraping. - **No Coding Required**: User-friendly interface for quick setup and execution on the Apify platform. - **Data Integrity**: Includes timestamps and budget metadata for accurate, timestamped insights. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | searchKeywords | string | Yes | The keywords to search for jobs on Upwork (e.g., job titles, skills, or categories). Supports phrases for precise matching. | "Frontend Developer" | | maxLimit | integer | No | Maximum number of jobs to scrape. Helps limit resource usage. Default is 100. | 50 | | location | string | No | The location to filter jobs by (e.g., country or city). Use "Worldwide" for no filter. Default is no location filter. | "United States" | ### Example Usage To run the Actor, provide input parameters in JSON format. Here's an example: ```json { "searchKeywords": "Frontend Developer", "maxLimit": 50, "location": "United States" } ```` The Actor will output a JSON array of job objects. Example output: ```json [ { "id": "2001237812882746169", "title": "Quick Web Task – $10 Fixed", "description": "I need help with one small web task (Shopify / HTML / CSS / JS).\nThis is a simple, quick job and should take 15–20 minutes.\n\nBudget: $10 (fixed)\nRequirements: Basic experience, can follow instructions, fast delivery.\n\nTo apply:\nConfirm you’re okay with a small $10 task and can start immediately.", "jobType": "FIXED", "hourlyBudgetMin": null, "hourlyBudgetMax": null, "fixedPriceAmount": "10.0", "currency": null, "skills": [ "Web Development", "WordPress", "PHP", "JavaScript", "HTML", "CSS", "Web Design", "HTML5", "Python", "jQuery" ], "publishTime": "2025-12-17T10:27:30.970Z", "createTime": "2025-12-17T10:27:30.726Z", "contractorTier": "IntermediateLevel", "weeklyRetainerBudget": null, "hourlyEngagementType": null, "fixedEngagementDuration": "1 to 3 months", "pageNumber": 1, "offset": 0, "jobUrl": "https://www.upwork.com/jobs/~022001237812882746169" } ] ``` ### Use Cases - **Freelancer Research**: Analyze job trends by skills or budgets to identify high-demand opportunities. - **Market Intelligence**: Track job postings from competitors or industries to benchmark hiring patterns. - **Talent Acquisition**: Monitor freelance job listings for recruitment or outsourcing insights. - **Content Aggregation**: Collect job data for blogs, reports, or newsletters on job market trends. - **Academic Research**: Gather data for studies on gig economy, remote work, or skill demands. - **Business Automation**: Automate job monitoring for alerts on relevant opportunities or market shifts. ### Installation and Usage 1. Search for "Upwork Job Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The Actor outputs a JSON array of objects, each representing a single job posting. Key fields include: - **id**: Unique identifier of the job. - **title**: Job title. - **description**: Full job description. - **jobType**: Type of job (e.g., FIXED or HOURLY). - **hourlyBudgetMin** / **hourlyBudgetMax**: Hourly rate range (if applicable). - **fixedPriceAmount**: Fixed price amount (if applicable). - **skills**: Array of required skills. - **publishTime**: Timestamp when the job was published. - **createTime**: Timestamp when the job was created. - **contractorTier**: Required contractor experience level (e.g., IntermediateLevel). - **jobUrl**: Direct URL to the job posting. This structure ensures easy parsing and integration into analytics tools. ### Support For custom/simplified outputs or bug reports, please contact: - Email: marketing@jayaba.com - Subject line: "custom support" - Contact form: https://jyaba.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `searchKeyword` (type: `string`): Keyword to search for jobs. ## `searchLocation` (type: `array`): Array of locations to search for jobs (e.g., \["United States", "United Kingdom"]). ## `maxLimit` (type: `integer`): Maximum number of jobs to scrape. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "searchKeyword": "frontend developer", "searchLocation": [ "United States", "United Kingdom" ], "maxLimit": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `jobs` (type: `string`): All scraped Upwork jobs stored in the default dataset # 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 = { "searchKeyword": "frontend developer", "searchLocation": [ "United States", "United Kingdom" ], "maxLimit": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/upwork-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchKeyword": "frontend developer", "searchLocation": [ "United States", "United Kingdom", ], "maxLimit": 5, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/upwork-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchKeyword": "frontend developer", "searchLocation": [ "United States", "United Kingdom" ], "maxLimit": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/upwork-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/upwork-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Upwork Jobs Scraper", "description": "The Upwork Job Scraper is a robust and reliable Apify Actor built to automatically extract detailed job postings from Upwork with precision and efficiency. It intelligently navigates job listings and captures structured data in real time, ensuring accurate and up-to-date results.", "version": "0.0", "x-build-id": "lKLpdHq6sf0rTwXKJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~upwork-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-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/getdataforme~upwork-jobs-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-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/getdataforme~upwork-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-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": [ "searchKeyword" ], "properties": { "searchKeyword": { "title": "Enter the Search Keyword", "type": "string", "description": "Keyword to search for jobs." }, "searchLocation": { "title": "Enter the Search Location", "type": "array", "description": "Array of locations to search for jobs (e.g., [\"United States\", \"United Kingdom\"])." }, "maxLimit": { "title": "Maximum Number of Jobs to Scrape", "type": "integer", "description": "Maximum number of jobs to scrape." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```