# Upwork Job Scraper (`getdataforme/upwork-actor`) Actor Extract detailed Upwork job listings with titles, descriptions, skills, and more via flexible search queries. Features proxy integration for reliable scraping, configurable limits, and clean JSON output.... - **URL**: https://apify.com/getdataforme/upwork-actor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Jobs - **Stats:** 394 total users, 19 monthly users, 100.0% runs succeeded, 15 bookmarks - **User rating**: 3.00 out of 5 stars ## Pricing from $35.00 / 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 The Upwork Job Scraper is a powerful Apify Actor designed to extract detailed job listings from Upwork based on user-defined search queries. It provides structured, reliable data on job titles, descriptions, skills, and more, enabling efficient market research and automation. This tool is ideal for freelancers, businesses, and researchers seeking to analyze job trends and opportunities on the platform. ### Features - **Comprehensive Data Extraction**: Scrapes key job details including titles, URLs, posting times, types, experience levels, descriptions, and required skills. - **Flexible Query Support**: Accepts multiple search queries to target specific job categories or keywords. - **Configurable Limits**: Set maximum items to process and filter by job posting recency for precise control. - **Proxy Integration**: Uses residential proxies to avoid IP blocks and ensure reliable scraping. - **High Performance**: Handles large volumes of data efficiently with built-in error handling. - **Structured Output**: Delivers clean JSON data ready for analysis or export. - **Easy Integration**: Seamlessly integrates with Apify's ecosystem for scheduling and data storage. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | queries | array | Yes | A list of search queries (e.g., job categories or keywords) to scrape job listings from Upwork. | ["python", "videoediting"] | | item_limit | integer | No | Specifies the maximum number of job items to process. | 100 | | job_posted | integer | No | Filters jobs posted within the last specified number of hours. | 5 | | proxyConfiguration | object | No | Configures proxy servers for scraping, including Apify Proxy settings. | {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US"} | ### Example Usage To run the actor, provide input parameters in JSON format. Here's an example: ```json { "queries": ["python", "data analysis"], "item_limit": 50, "job_posted": 24, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` The actor will output a JSON array of job objects. Example output: ```json [ { "job_title": "Create 3D product animations to be used for promotional and marketing purposes for line of products", "job_url": "https://www.upwork.com/jobs/Create-product-animations-used-for-promotional-and-marketing-purposes-for-line-products_~022008661624884863312/", "posted_time": "12 minutes ago", "job_type": "Fixed price", "experience_level": "Expert", "estimated_time": "N/A", "job_description": "Initial milestone $100 for the base model. Next milestone $150 for the variations and Renders. Next milestone $150 for the initial teaser. all work will be milestone based. some bigger files will be shared by drop box or drive shares as all not getting via the upload due to size restrictions. FInally, $100 at the end for finalized teaser.", "skills": [ "Graphic Design", "Motion Graphics", "3D Animation", "Video Commercial", "Adobe Illustrator", "Illustration", "Video Production" ], "job_uid": "2008661624884863312" } ] ``` ### Use Cases - **Market Research**: Analyze job trends and demand for specific skills in the freelance market. - **Competitive Intelligence**: Monitor competitors' job postings and pricing strategies. - **Price Monitoring**: Track average rates for similar projects to inform bidding. - **Content Aggregation**: Collect job data for blogs, newsletters, or databases. - **Academic Research**: Study labor market dynamics in the gig economy. - **Business Automation**: Automate lead generation for recruitment agencies or training providers. ### 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 scraped job listing. Key fields include: - `job_title`: The title of the job posting. - `job_url`: Direct link to the job on Upwork. - `posted_time`: When the job was posted (e.g., "12 minutes ago"). - `job_type`: Type of job (e.g., "Fixed price"). - `experience_level`: Required expertise (e.g., "Expert"). - `estimated_time`: Estimated duration (may be "N/A"). - `job_description`: Full job details and milestones. - `skills`: Array of required skills. - `job_uid`: Unique identifier for the job. This structured format ensures easy parsing and integration into workflows. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** # Actor input Schema ## `queries` (type: `array`): A list of URLs of the web pages you want to scrape data from. ## `item_limit` (type: `integer`): Specifies the maximum number of items to process. ## `job_posted` (type: `integer`): Enter the number of hours the job was posted ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "queries": [ "python", "videoediting" ], "item_limit": 100, "job_posted": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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 = { "queries": [ "python", "videoediting" ], "item_limit": 100, "job_posted": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/upwork-actor").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 = { "queries": [ "python", "videoediting", ], "item_limit": 100, "job_posted": 5, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/upwork-actor").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 '{ "queries": [ "python", "videoediting" ], "item_limit": 100, "job_posted": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call getdataforme/upwork-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/upwork-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Upwork Job Scraper", "description": "Extract detailed Upwork job listings with titles, descriptions, skills, and more via flexible search queries. Features proxy integration for reliable scraping, configurable limits, and clean JSON output....", "version": "0.0", "x-build-id": "jKxERJH8pTXNZoEFf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~upwork-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-upwork-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~upwork-actor/runs": { "post": { "operationId": "runs-sync-getdataforme-upwork-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~upwork-actor/run-sync": { "post": { "operationId": "run-sync-getdataforme-upwork-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "List of Upwork Job Queries", "type": "array", "description": "A list of URLs of the web pages you want to scrape data from.", "items": { "type": "string" } }, "item_limit": { "title": "Item Limit", "type": "integer", "description": "Specifies the maximum number of items to process.", "default": 100 }, "job_posted": { "title": "Job Posted", "type": "integer", "description": "Enter the number of hours the job was posted", "default": 5 }, "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" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```