# DuckDuckGo Images Scraper (`searchapi/duckduckgo-images-scraper`) Actor A robust, high-performance utility designed for developer automation, data integration, and AI training. Features built-in captcha bypass, headful/headless browser execution, and proxy support to scrape Duckduckgo Images data seamlessly, reliably, and at scale. - **URL**: https://apify.com/searchapi/duckduckgo-images-scraper.md - **Developed by:** [Search API](https://apify.com/searchapi) (community) - **Categories:** Developer tools, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 duckduckgo images scraper results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## DuckDuckGo Images Scraper ### What is this tool? DuckDuckGo Images Scraper helps you collect images data from DuckDuckGo (the privacy-focused search engine). Just type in what you're looking for, and the tool will gather images with their full-size URLs, thumbnails, dimensions, file formats, and the websites where they were published. ### What can you use it for? - Find images on any topic - Visual research and design inspiration - Build image collections for content, reports, or presentations - Track visual trends ### What data do you get? Each result includes up to **49 fields**, organized into the following categories: **Identity** (4 fields): Position, Page, type, resultType **URLs** (12 fields): Image, Thumb, url, link, originalUrl, sourceUrl, hostPageUrl, domain, hostPageDomain, favicon, creatorUrl, searchUrl **Text** (3 fields): Title, altText, alt **Media** (2 fields): thumbnail, photographer **Image Details** (10 fields): Format, Size, Color, aspectRatio, format, size, isAnimated, dominantColor, colorPalette, isAdult **Location** (2 fields): Region, Country **Categorization** (1 fields): tags **Source** (2 fields): Source, Creator **Search Context** (6 fields): Query, safeSearch, query, market, language, searchMetadata **Other** (7 fields): W, H, License, Scraped At, orientation, mimeType, copyright ### How to use it #### Step 1: Enter your search Type in your search term, like "cats". #### Step 2: Set your preferences Adjust the options below to customize your search. #### Step 3: Run the tool Click the run button and wait for your results. The tool will gather all the data and save it in a clean, organized format. ### Input options | Option | What it means | Required | Default | |--------|---------------|----------|---------| | **Search Query** | The search query for DDG image search. | Yes | cats | | **Max Items** | Max images to scrape. | No | 100 | | **Region** | DDG region code (e.g. us-en, uk-en, de-de). | No | us-en | | **Image Size** | Filter by image size. Options: (Any), Small (Small), Medium (Medium), Large (Large), Wallpaper (Wallpaper). | No | — | | **Color** | Filter by dominant color. Options: (Any), color (Color only), Monochrome (Monochrome), Red (Red), Orange (Orange), Yellow (Yellow), Green (Green), Blue (Blue), Purple (Purple), Pink (Pink), Brown (Brown), Black (Black), Gray (Gray), Teal (Teal), White (White). | No | — | | **Image Type** | Filter by image type. Options: (Any), photo (Photo), clipart (Clipart), gif (GIF), transparent (Transparent), line (Line drawing). | No | — | | **Layout** | Filter by image aspect ratio. Options: (Any), Square (Square), Tall (Tall), Wide (Wide). | No | — | | **License** | Filter by usage license. Options: (Any), any (All Creative Commons), Public (Free to Share), Share (Free to Share Commercially), ShareCommercially (Free to Modify), Modify (Free to Modify Commercially). | No | — | | **Safe Search** | Safe search setting. Options: strict (Strict), moderate (Moderate), off (Off). | No | moderate | ### Output Your results come in a clean, organized table with **two views**: #### Overview view Shows the most important fields at a glance: - **Position** - **Title** - **Image** - **Thumb** - **W** - **H** - **Format** - **Size** - **Color** - **Source** - **Creator** - **License** - **Page** - **Query** - **Region** - **Country** - **Scraped At** #### Full details view Shows all 49 fields in detail. See "What data do you get?" above for the complete list. ### Tips for best results ✅ **Be specific** with your search terms for more relevant results ✅ **Try different variations** of your search term to discover more results ✅ **Browse multiple pages** of results to get a wider variety ### Frequently asked questions **Why use Duckduckgo?** Duckduckgo is a privacy-focused search engine that doesn't track you, doesn't store your personal information, and doesn't sell your data to advertisers. It's a great choice for privacy-conscious users who want to search the web without being monitored. **How do I get the results?** Your results are saved in your Apify dashboard. You can download them in various formats (JSON, CSV, Excel) or access them via the API. **Can I run it on a schedule?** Yes! Apify supports scheduled runs. You can set up the tool to run automatically at any interval (hourly, daily, weekly, etc.) from your dashboard. **What if I get fewer results than I asked for?** This can happen if the search engine doesn't have enough matching results for your search, or if some results are blocked. Try different keywords or relax your filters. **Need more help?** If you have questions or run into issues, our support team is ready to help. Just reach out through the Apify platform and we'll get back to you quickly. # Actor input Schema ## `query` (type: `string`): The search query for DDG image search. ## `maxItems` (type: `integer`): Maximum number of images to scrape. ## `region` (type: `string`): DDG region code (e.g. us-en, uk-en, de-de). ## `size` (type: `string`): Filter by image size. ## `color` (type: `string`): Filter by dominant color. ## `type` (type: `string`): Filter by image type. ## `layout` (type: `string`): Filter by image aspect ratio. ## `license` (type: `string`): Filter by usage license. ## `safeSearch` (type: `string`): Safe search setting. ## `proxyConfiguration` (type: `object`): Proxy settings. ## Actor input object example ```json { "query": "cats", "maxItems": 100, "region": "us-en", "size": "", "color": "", "type": "", "layout": "", "license": "", "safeSearch": "moderate", "proxyConfiguration": { "useApifyProxy": true } } ```` # 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": "cats", "region": "us-en", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("searchapi/duckduckgo-images-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": "cats", "region": "us-en", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("searchapi/duckduckgo-images-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": "cats", "region": "us-en", "proxyConfiguration": { "useApifyProxy": true } }' | apify call searchapi/duckduckgo-images-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=searchapi/duckduckgo-images-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DuckDuckGo Images Scraper", "description": "A robust, high-performance utility designed for developer automation, data integration, and AI training. Features built-in captcha bypass, headful/headless browser execution, and proxy support to scrape Duckduckgo Images data seamlessly, reliably, and at scale.", "version": "2.0", "x-build-id": "V3jQou0K7By96zgud" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/searchapi~duckduckgo-images-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-searchapi-duckduckgo-images-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/searchapi~duckduckgo-images-scraper/runs": { "post": { "operationId": "runs-sync-searchapi-duckduckgo-images-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/searchapi~duckduckgo-images-scraper/run-sync": { "post": { "operationId": "run-sync-searchapi-duckduckgo-images-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "The search query for DDG image search." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of images to scrape.", "default": 100 }, "region": { "title": "Region", "type": "string", "description": "DDG region code (e.g. us-en, uk-en, de-de).", "default": "us-en" }, "size": { "title": "Image Size", "enum": [ "", "Small", "Medium", "Large", "Wallpaper" ], "type": "string", "description": "Filter by image size.", "default": "" }, "color": { "title": "Color", "enum": [ "", "color", "Monochrome", "Red", "Orange", "Yellow", "Green", "Blue", "Purple", "Pink", "Brown", "Black", "Gray", "Teal", "White" ], "type": "string", "description": "Filter by dominant color.", "default": "" }, "type": { "title": "Image Type", "enum": [ "", "photo", "clipart", "gif", "transparent", "line" ], "type": "string", "description": "Filter by image type.", "default": "" }, "layout": { "title": "Layout", "enum": [ "", "Square", "Tall", "Wide" ], "type": "string", "description": "Filter by image aspect ratio.", "default": "" }, "license": { "title": "License", "enum": [ "", "any", "Public", "Share", "ShareCommercially", "Modify", "ModifyCommercially" ], "type": "string", "description": "Filter by usage license.", "default": "" }, "safeSearch": { "title": "Safe Search", "enum": [ "strict", "moderate", "off" ], "type": "string", "description": "Safe search setting.", "default": "moderate" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings." } } }, "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 } } } } } } } } } } ```