# Dribbble Designers Scraper (`parsebird/dribbble-designers-scraper`) Actor Scrape designer profiles from Dribbble, the world's largest design community. Filter by category, budget, location, rating, PRO status, and more. Extract skills, pricing, reviews, and contact info. - **URL**: https://apify.com/parsebird/dribbble-designers-scraper.md - **Developed by:** [ParseBird](https://apify.com/parsebird) (community) - **Categories:** Jobs, Lead generation, Agents - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 1,000 dribbble designer listings 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 ### Dribbble Designers Scraper Scrape designer profiles from [Dribbble](https://dribbble.com/designers), the world's largest design community. Filter by category, budget, location, rating, PRO status, response time, and agencies. Extract skills, pricing, reviews, and contact info.
Discover top designers, benchmark pricing, and source creative talent across Dribbble's community of 10M+ design professionals.

ParseBird Dribbble   •  Structured data from every listing
Jobs
100s of design jobs with details, salary, apply links 		Designers
➤ You are here
##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```` parsebird/dribbble-designers-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/dribbble-designers-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: categories (array, "animation"/"branding"/"illustration"/"mobile"/"print"/"product-design"/"typography"/"web-design"), minimumBudget (integer, 0-10000), location (string, free text like "New York"), minimumRating (integer, 0-4), proOnly (boolean), respondsQuickly (boolean), agenciesOnly (boolean), maxPages (integer), maxResults (integer), includeDetails (boolean). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parsebird~dribbble-designers-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ```` ### What does Dribbble Designers Scraper do? This Actor scrapes [dribbble.com/designers](https://dribbble.com/designers), the official hiring marketplace for design talent on Dribbble. It supports two modes: **Listing mode** (default, fast and cheap): | Field | Example | |-------|---------| | Name | HALO LAB | | Username | halolab | | Profile URL | https://dribbble.com/halolab | | Avatar | https://cdn.dribbble.com/users/... | | PRO status | true / false | | Promoted | true / false | | Rating | 4.9 | | Review count | 141 | | Projects completed | 144 | | Starting price | From $7,000/project | | Location | New York City, NY | | Response time | Responds in about 2 hours | | Services count | 15 | | Skills | ["product design", "web design", "ux", ...] | | Expert badges | ["Webflow Expert"] | **Detail mode** (adds per designer): | Field | Example | |-------|---------| | Bio | Design & Tech Agency Helping Brands Become TOP 1% | | Followers | 53628 | | Following | 542 | | Likes | 14641 | | Email | inquiry@halo-lab.com | | Website | http://www.halo-lab.com | | Schedule call URL | https://cal.com/team/halo-lab/dribbble-inquiry | ### Why scrape Dribbble Designers? - **Talent sourcing** — Find designers by specialty, budget range, location, and rating for your next project - **Competitive analysis** — Benchmark pricing, review counts, and service offerings across design agencies - **Lead generation** — Build lists of agencies and freelancers with contact emails and websites - **Market research** — Analyze the design talent landscape by category, region, and price point - **Recruiting** — Source PRO designers with high ratings and fast response times - **Directory building** — Feed designer data into your own talent marketplace or aggregation platform ### How to use 1. Go to the [Dribbble Designers Scraper](https://apify.com/parsebird/dribbble-designers-scraper) page on Apify Store 2. Click **Try for free** 3. Configure your input: - **Categories** — Animation, Branding, Illustration, Mobile, Print, Product Design, Typography, Web Design - **Minimum Budget** — Filter by minimum project price ($0-$10,000+) - **Location** — Free-text (e.g. "New York", "London", "San Francisco, CA") - **Minimum Rating** — 1-4 stars & up - **PRO Only / Responds Quickly / Agencies Only** — Toggle filters 4. Click **Start** and wait for the run to finish 5. Download your data in JSON, CSV, Excel, or connect via API > **Note:** Applying many filters at once narrows the results significantly. Dribbble applies filters as AND conditions, so combining categories + location + rating + PRO can return very few results. If you are not getting enough results, try reducing the number of filters. The location field is free text — Dribbble will match whatever you type, so if no results appear, try a broader term (e.g. "California" instead of "San Francisco, CA"). ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `categories` | array | `[]` | Design categories: `animation`, `branding`, `illustration`, `mobile`, `print`, `product-design`, `typography`, `web-design` | | `minimumBudget` | integer | `0` | Minimum project budget in USD (0-10000) | | `location` | string | `""` | Free-text location (e.g. "New York", "London") | | `minimumRating` | integer | `0` | Minimum star rating (0 = any, 1-4) | | `proOnly` | boolean | `false` | Only PRO designers | | `respondsQuickly` | boolean | `false` | Designers who respond within a few hours | | `agenciesOnly` | boolean | `false` | Only design agencies | | `maxPages` | integer | `5` | Max listing pages to scrape (~30-40 designers/page) | | `maxResults` | integer | `50` | Max designers to return (0 = unlimited) | | `includeDetails` | boolean | `false` | Fetch profile pages for bio, followers, website, email | ### Output data **Listing mode example:** ```json { "designerId": "466659", "name": "HALO LAB", "username": "halolab", "profileUrl": "https://dribbble.com/halolab", "avatarUrl": "https://cdn.dribbble.com/users/466659/avatars/normal/...", "isPro": true, "isPromoted": true, "rating": 4.9, "reviewCount": 141, "projectsCompleted": 144, "startingPrice": "From $7,000/project", "location": "New York City, NY", "responseTime": "Responds in about 2 hours", "servicesCount": 15, "skills": ["product design", "web design", "ux", "branding", "ui"], "expertBadges": ["Webflow Expert"], "scrapedAt": "2026-04-04T12:00:00.000Z" } ```` **Detail mode adds:** ```json { "bio": "Design & Tech Agency Helping Brands Become TOP 1%", "followers": 53628, "following": 542, "likes": 14641, "email": "inquiry@halo-lab.com", "website": "http://www.halo-lab.com/drbl", "scheduleCallUrl": "https://cal.com/team/halo-lab/dribbble-inquiry" } ``` ### Use with the Apify API ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("parsebird/dribbble-designers-scraper").call(run_input={ "categories": ["web-design", "product-design"], "location": "New York", "minimumRating": 4, "maxResults": 50, "includeDetails": True, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"{item['name']} - {item.get('startingPrice', 'N/A')} - {item.get('email', 'N/A')}") ``` ### Pricing This Actor uses **Pay-per-event** pricing: | Event | Cost | Rate | |-------|------|------| | `dribbble-designer-listing` | $0.0018 | $1.80 per 1,000 designers | | `dribbble-designer-detail` | $0.0025 | $2.50 per 1,000 designers | **Listing mode** charges only `dribbble-designer-listing` per designer found. **Detail mode** charges only `dribbble-designer-detail` per designer enriched (no double-charging). **Cost examples (listing mode):** - 50 designers: $0.09 - 200 designers: $0.36 - 1,000 designers: $1.80 **Cost examples (detail mode):** - 50 designers: $0.13 - 200 designers: $0.50 - 1,000 designers: $2.50 You only pay for the designers actually returned. ### Tips and best practices - **Start small** — Set `maxResults` to 5-10 to preview the data before running larger scrapes - **Keep filters minimal** — The more filters you apply simultaneously, the fewer results you'll get. Dribbble applies filters as AND conditions - **Location is free text** — You can type any city, state, or country name. If you get zero results, try a broader term - **Use detail mode selectively** — Listing mode is fast and cheap; only enable detail mode when you need bios, emails, and follower counts - **Scheduling** — Set up weekly runs to track new designers joining Dribbble or pricing changes ### Integrations Connect this Actor to your workflow: - **Google Sheets** — Export results directly - **Webhooks** — Trigger actions when new data arrives - **API** — Access data programmatically via the Apify API - **Zapier / Make** — Automate downstream workflows ### Limitations - Email addresses are only available when designers display them publicly on their profile page (detail mode required). - The "Available for work" status is not reliably extractable from listing cards. - Some designers may not have all fields (rating, price, services count) depending on their profile completeness. - Detail pages are fetched sequentially with small delays to avoid rate limiting. # Actor input Schema ## `categories` (type: `array`): Filter by one or more design categories. Leave empty to scrape all. ## `minimumBudget` (type: `integer`): Minimum project budget in USD. Dribbble's slider goes from $0 to $10,000+. Set to 0 for no minimum. ## `location` (type: `string`): Free-text location filter (e.g. "New York", "San Francisco, CA", "London"). Leave empty for all locations. ## `minimumRating` (type: `string`): Minimum star rating. Leave empty for no minimum. ## `proOnly` (type: `boolean`): Only return PRO designers. ## `respondsQuickly` (type: `boolean`): Only return designers who typically respond within a few hours. ## `agenciesOnly` (type: `boolean`): Only return design agencies. ## `maxPages` (type: `integer`): Maximum number of listing pages to scrape. ## `maxResults` (type: `integer`): Maximum number of designers to return. Set to 0 for unlimited. ## `includeDetails` (type: `boolean`): Fetch each designer's profile page for bio, follower counts, website, email, and schedule link. Disabling this is faster and cheaper but returns only listing-level data. ## Actor input object example ```json { "categories": [], "minimumBudget": 0, "location": "", "minimumRating": "", "proOnly": false, "respondsQuickly": false, "agenciesOnly": false, "maxPages": 5, "maxResults": 50, "includeDetails": false } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("parsebird/dribbble-designers-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("parsebird/dribbble-designers-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 parsebird/dribbble-designers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parsebird/dribbble-designers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dribbble Designers Scraper", "description": "Scrape designer profiles from Dribbble, the world's largest design community. Filter by category, budget, location, rating, PRO status, and more. Extract skills, pricing, reviews, and contact info.", "version": "1.1", "x-build-id": "eltBmA4RiW50gSNnd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parsebird~dribbble-designers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parsebird-dribbble-designers-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parsebird~dribbble-designers-scraper/runs": { "post": { "operationId": "runs-sync-parsebird-dribbble-designers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parsebird~dribbble-designers-scraper/run-sync": { "post": { "operationId": "run-sync-parsebird-dribbble-designers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categories": { "title": "Categories", "type": "array", "description": "Filter by one or more design categories. Leave empty to scrape all.", "items": { "type": "string", "enum": [ "animation", "branding", "illustration", "mobile", "print", "product-design", "typography", "web-design" ], "enumTitles": [ "Animation", "Logo & Branding", "Illustration", "Mobile", "Print", "Product Design", "Typography", "Web Design" ] }, "default": [] }, "minimumBudget": { "title": "Minimum Budget", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Minimum project budget in USD. Dribbble's slider goes from $0 to $10,000+. Set to 0 for no minimum.", "default": 0 }, "location": { "title": "Location", "type": "string", "description": "Free-text location filter (e.g. \"New York\", \"San Francisco, CA\", \"London\"). Leave empty for all locations.", "default": "" }, "minimumRating": { "title": "Minimum Rating", "enum": [ "", "1", "2", "3", "4" ], "type": "string", "description": "Minimum star rating. Leave empty for no minimum.", "default": "" }, "proOnly": { "title": "PRO Designers Only", "type": "boolean", "description": "Only return PRO designers.", "default": false }, "respondsQuickly": { "title": "Responds Quickly", "type": "boolean", "description": "Only return designers who typically respond within a few hours.", "default": false }, "agenciesOnly": { "title": "Agencies Only", "type": "boolean", "description": "Only return design agencies.", "default": false }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of listing pages to scrape.", "default": 5 }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of designers to return. Set to 0 for unlimited.", "default": 50 }, "includeDetails": { "title": "Include Detail Pages", "type": "boolean", "description": "Fetch each designer's profile page for bio, follower counts, website, email, and schedule link. Disabling this is faster and cheaper but returns only listing-level data.", "default": false } } }, "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 } } } } } } } } } } ```