# Upwork Scraper — Freelance Job Listings (`blackfalcondata/upwork-scraper`) Actor Scrape upwork.com — the world’s largest freelance marketplace. Full-text search, budget filters, and skill-based job discovery. Incremental mode detects new and changed listings. Compact output for AI agents and MCP workflows. - **URL**: https://apify.com/blackfalcondata/upwork-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ### What does Upwork Job Scraper do? Upwork Job Scraper extracts structured job data from [upwork.com](https://upwork.com) — including full descriptions and skill tags. It supports keyword search and controllable result limits, so you can run the same query consistently over time. The actor also offers incremental monitoring that only returns new or changed results on recurring runs and a compact output mode for AI-agent and MCP workflows. ### What data can you extract from upwork.com? Each result includes Core listing fields (`jobId`, `title`, `jobType`, `experienceLevel`, `budgetAmount`, `hourlyBudgetMin`, `hourlyBudgetMax`, and `skills`, and more) and detail fields when enrichment is enabled (`description`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. ### Input The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema. Key parameters: - **`query`** — Job search keywords. Leave empty to browse all jobs. - **`jobType`** — Filter by payment type. - **`experienceLevel`** — Filter by required experience. - **`workload`** — Filter by time commitment. - **`clientHires`** — Filter by how many freelancers the client has hired. - **`sort`** — How to sort results. (default: `"recency"`) - **`maxResults`** — Maximum total results. 0 = unlimited. (default: `50`) - **`descriptionMaxLength`** — Truncate description to N characters. 0 = full text. (default: `0`) - **`compact`** — Core fields only (for AI-agent/MCP workflows). (default: `false`) - **`incrementalMode`** — Only output new/changed jobs since last run. (default: `false`) - **`stateKey`** — Unique identifier for this tracked search. Required when incrementalMode is true. #### Input example ```json { "query": "python developer", "sort": "recency", "maxResults": 10, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false } ```` ### Output Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. #### Example job record ```json { "jobId": "2040351391202699230", "title": "Copy my wordpress site to subdirectry and change identity", "description": "Copy my site chinajec.com to subfolder in same cPanel . Change the compnay name from \n1- Jifri Export Company to BJS Development Solutions\n2- JEC to BJS\n3- شركة الجفري للتصدير to بي جي اس لحلول التطوي...", "jobType": "FIXED", "experienceLevel": "IntermediateLevel", "budgetAmount": 25, "hourlyBudgetMin": null, "hourlyBudgetMax": null, "skills": [ "WordPress" ], "publishTime": "2026-04-04T08:51:56.731Z", "url": "https://www.upwork.com/jobs/~022040351391202699230", "portalUrl": "https://www.upwork.com/jobs/~022040351391202699230", "scrapedAt": "2026-04-04T08:52:54.919Z", "source": "upwork.com", "changeType": "NEW" } ``` ### How to scrape upwork.com 1. Go to [Upwork Job Scraper](https://apify.com/blackfalcondata/upwork-scraper) in Apify Console. 2. Enter a search keyword. 3. Set `maxResults` to control how many results you need. 4. Click **Start** and wait for the run to finish. 5. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract job data from upwork.com for market research and competitive analysis. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. - Analyze skill demand across listings using structured skill tags. ### How much does it cost to scrape upwork.com? Upwork Job Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.001 per run - **Per result:** $0.001 per job record Example costs: - 10 results: **$0.01** - 100 results: **$0.1** - 500 results: **$0.5** Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient. ### FAQ #### How many results can I get from upwork.com? Each search query can return up to approximately 5,050 results — this is a hard limit imposed by Upwork's API (offsets beyond 5,000 are rejected). For broader coverage, use filters like `jobType`, `experienceLevel`, or `workload` to segment your queries below the limit. #### Does Upwork Job Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate Upwork Job Scraper with other apps? Yes. Upwork Job Scraper works with Apify's [integrations](https://apify.com/integrations) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use Upwork Job Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use Upwork Job Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows. #### Is it legal to scrape upwork.com? This actor extracts publicly available data from upwork.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/upwork-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper) — Scrape adzuna.com — the global job board with 20+ country markets. Structured salary. - [Arbeitsagentur Scraper](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Scrape arbeitsagentur.de — Germany's official employment portal with 1M+ listings. Contact data,. - [AutoScout24 Scraper](https://apify.com/blackfalcondata/autoscout24-scraper) — Scrape autoscout24.com — Europe's largest used car marketplace with 770K+ listings. Structured. - [Bayt.com Scraper — Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper) — Scrape bayt.com — the leading Middle East job board. Salary data, experience requirements. - [Bilbasen Scraper](https://apify.com/blackfalcondata/bilbasen-scraper) — Scrape bilbasen.dk — Denmark's largest car marketplace. Prices, specifications, images. - [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper) — Scrape cadremploi.fr — French management and executive jobs. Salary ranges, apply links. - [DBA.dk Marketplace Listings Scraper](https://apify.com/blackfalcondata/dba-listings-scraper) — Scrape dba.dk — Denmark's largest marketplace. Prices, condition details, and seller info. - [Dice.com Job Scraper](https://apify.com/blackfalcondata/dice-com-job-scraper) — Scrape dice.com — the leading U.S. tech job board. Structured salary (min/max/currency),. # Actor input Schema ## `query` (type: `string`): Job search keywords. Leave empty to browse all jobs. ## `jobType` (type: `string`): Filter by payment type. ## `experienceLevel` (type: `string`): Filter by required experience. ## `workload` (type: `string`): Filter by time commitment. ## `clientHires` (type: `string`): Filter by how many freelancers the client has hired. ## `sort` (type: `string`): How to sort results. ## `maxResults` (type: `integer`): Maximum total results. 0 = unlimited. ## `descriptionMaxLength` (type: `integer`): Truncate description to N characters. 0 = full text. ## `compact` (type: `boolean`): Core fields only (for AI-agent/MCP workflows). ## `incrementalMode` (type: `boolean`): Only output new/changed jobs since last run. ## `stateKey` (type: `string`): Unique identifier for this tracked search. Required when incrementalMode is true. ## Actor input object example ```json { "query": "python developer", "sort": "recency", "maxResults": 10, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false } ``` # Actor output Schema ## `results` (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 = { "query": "python developer", "maxResults": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/upwork-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 = { "query": "python developer", "maxResults": 10, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/upwork-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 '{ "query": "python developer", "maxResults": 10 }' | apify call blackfalcondata/upwork-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/upwork-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Upwork Scraper — Freelance Job Listings", "description": "Scrape upwork.com — the world’s largest freelance marketplace. Full-text search, budget filters, and skill-based job discovery. Incremental mode detects new and changed listings. Compact output for AI agents and MCP workflows.", "version": "0.1", "x-build-id": "9brEbEXI16dl2I50G" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~upwork-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-upwork-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~upwork-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-upwork-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~upwork-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-upwork-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Job search keywords. Leave empty to browse all jobs." }, "jobType": { "title": "Job Type", "enum": [ "hourly", "fixed" ], "type": "string", "description": "Filter by payment type." }, "experienceLevel": { "title": "Experience Level", "enum": [ "EntryLevel", "IntermediateLevel", "ExpertLevel" ], "type": "string", "description": "Filter by required experience." }, "workload": { "title": "Workload", "enum": [ "as_needed", "part_time", "full_time" ], "type": "string", "description": "Filter by time commitment." }, "clientHires": { "title": "Client Hiring History", "enum": [ "0", "1-9", "10+" ], "type": "string", "description": "Filter by how many freelancers the client has hired." }, "sort": { "title": "Sort Order", "enum": [ "recency", "relevance", "newest", "oldest" ], "type": "string", "description": "How to sort results.", "default": "recency" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 5050, "type": "integer", "description": "Maximum total results. 0 = unlimited.", "default": 50 }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate description to N characters. 0 = full text.", "default": 0 }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Core fields only (for AI-agent/MCP workflows).", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Only output new/changed jobs since last run.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Unique identifier for this tracked search. Required when incrementalMode is true." } } }, "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 } } } } } } } } } } ```