# Brave Images Scraper (`codingfrontend/brave-images-scraper`) Actor Scrapes image search results from Brave Search (search.brave.com/images). Extracts image URL, thumbnail, source, title, dimensions, and more. - **URL**: https://apify.com/codingfrontend/brave-images-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Automation, Developer tools, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.99 / 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 ## Brave Images Scraper Extract image search results from [Brave Images](https://search.brave.com/images) — a privacy-focused alternative to Google Images or Bing Images. ### Features - **Image metadata** — title, image URL, source domain, dimensions (width × height) - **Scroll-based pagination** — automatically scrolls to load more images up to `maxItems` - **Cross-page deduplication** — skips images already scraped in previous scroll batches - **Geo-targeting** — set `country` and `language` for localised image results - **Safe search** — configurable (`off` / `moderate` / `strict`) - **Proxy support** — works with Apify residential/datacenter proxies ### Input Parameters | Field | Type | Default | Description | |-------|------|---------|-------------| | `query` | string | *(required)* | Image search query | | `maxItems` | integer | `50` | Maximum number of images to extract | | `country` | string | `"us"` | Country code for localised results | | `language` | string | `"en"` | Language code | | `safeSearch` | string | `"off"` | Safe search level: `off`, `moderate`, `strict` | | `proxyConfiguration` | object | — | Apify proxy config (recommended: residential) | #### Example INPUT.json ```json { "query": "sunset photography", "maxItems": 50, "country": "us", "language": "en", "safeSearch": "off", "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output Fields | Field | Type | Description | |-------|------|-------------| | `position` | integer | Rank in results (1-based) | | `title` | string | Image title or alt text | | `imageUrl` | string | Image URL via Brave's CDN proxy | | `thumbnailUrl` | string | Thumbnail URL (same as `imageUrl` for Brave) | | `sourceUrl` | string | Source page hosting the image (null — not available in Brave's DOM) | | `sourceDomain` | string | Domain of the website hosting the image | | `width` | integer | Image width in pixels | | `height` | integer | Image height in pixels | | `searchQuery` | string | The query used | | `country` | string | Country code used | | `language` | string | Language code used | | `scrapedAt` | string | ISO 8601 scrape timestamp | #### Example Output ```json { "position": 1, "title": "Golden Hour Sunset over Mountains", "imageUrl": "https://imgs.search.brave.com/...", "thumbnailUrl": "https://imgs.search.brave.com/...", "sourceUrl": null, "sourceDomain": "unsplash.com", "width": 1920, "height": 1280, "searchQuery": "sunset photography", "country": "us", "language": "en", "scrapedAt": "2025-05-01T12:00:00.000Z" } ``` ### Pagination The scraper uses **scroll-based pagination** to load more images: - The page is scrolled in increments, triggering Brave's lazy-load mechanism - Scrolling continues until `maxItems` images are collected or no new images load - Each scroll batch is deduplicated by `imageUrl` to avoid duplicates ### Notes - `sourceUrl` is always `null` — Brave's image result buttons do not expose the source page URL in the DOM without clicking - `imageUrl` and `thumbnailUrl` are the same Brave proxy URL; the original image URL is encoded within it - Image dimensions come from CSS custom properties (`--width`, `--height`) on each card - Use a **residential proxy** for better reliability ### Why Use This Scraper? - **Privacy-first image search** — no tracking or personalization of results - **Independent image index** — Brave indexes images separately from Google/Bing - **Bulk image collection** — scroll-based loading extracts large image sets efficiently - **No API costs** — access image data without Bing or Google Images API subscriptions ### Use Cases - **Unbiased Image Datasets** — collect images without algorithmic personalization - **AI/ML Training Data** — build labeled image datasets for computer vision - **Brand Visual Audit** — check how your brand appears in Brave's image index - **Cross-Engine Image SEO** — compare image rankings across multiple search engines - **Design & Creative Research** — gather reference images for any visual topic ### Custom Solutions Need a custom scraper or dedicated server setup? We offer: - **On-demand scraper development** for any website - **Individual server setups** with your own infrastructure - **Custom modifications** to existing scrapers - **Priority support** and maintenance 📧 Email: lakshmanan.w3dev@gmail.com\ 📱 WhatsApp: +91 6382775774 # Actor input Schema ## `query` (type: `string`): The image search query. ## `maxItems` (type: `integer`): Maximum number of images to scrape. ## `country` (type: `string`): Brave country code (e.g. 'us', 'gb', 'in'). ## `language` (type: `string`): Brave language code (e.g. 'en', 'de', 'fr'). ## `safeSearch` (type: `string`): Safe search filter. Options: "off", "moderate", or "strict". ## `size` (type: `string`): Filter by image size. Options: "Small", "Medium", "Large", "Wallpaper". ## `color` (type: `string`): Filter by image color. Options: "color", "gray", "transparent", or specific colors. ## `type` (type: `string`): Filter by image type. Options: "photo", "clipart", "linedrawing", "animated". ## `layout` (type: `string`): Filter by image layout. Options: "square", "tall", "wide". ## `license` (type: `string`): Filter by image license type. Options: "all", "free", "share", "modify". ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies recommended. ## Actor input object example ```json { "query": "nature photography", "maxItems": 100, "country": "us", "language": "en", "safeSearch": "moderate", "size": "", "color": "", "type": "", "layout": "", "license": "", "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": "nature photography", "maxItems": 100, "country": "us", "language": "en", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/brave-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": "nature photography", "maxItems": 100, "country": "us", "language": "en", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/brave-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": "nature photography", "maxItems": 100, "country": "us", "language": "en", "proxyConfiguration": { "useApifyProxy": true } }' | apify call codingfrontend/brave-images-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/brave-images-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Brave Images Scraper", "description": "Scrapes image search results from Brave Search (search.brave.com/images). Extracts image URL, thumbnail, source, title, dimensions, and more.", "version": "1.0", "x-build-id": "pYqIZVJ6d8vRXz1WG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~brave-images-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-brave-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~brave-images-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-brave-images-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~brave-images-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-brave-images-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 image search query." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of images to scrape.", "default": 100 }, "country": { "title": "Country", "type": "string", "description": "Brave country code (e.g. 'us', 'gb', 'in').", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Brave language code (e.g. 'en', 'de', 'fr').", "default": "en" }, "safeSearch": { "title": "Safe Search", "enum": [ "strict", "moderate", "off" ], "type": "string", "description": "Safe search filter. Options: \"off\", \"moderate\", or \"strict\".", "default": "moderate" }, "size": { "title": "Image Size", "enum": [ "", "small", "medium", "large", "wallpaper" ], "type": "string", "description": "Filter by image size. Options: \"Small\", \"Medium\", \"Large\", \"Wallpaper\".", "default": "" }, "color": { "title": "Color", "enum": [ "", "color", "bw", "red", "orange", "yellow", "green", "teal", "blue", "purple", "pink", "gray" ], "type": "string", "description": "Filter by image color. Options: \"color\", \"gray\", \"transparent\", or specific colors.", "default": "" }, "type": { "title": "Image Type", "enum": [ "", "photo", "clipart", "gif", "transparent", "line" ], "type": "string", "description": "Filter by image type. Options: \"photo\", \"clipart\", \"linedrawing\", \"animated\".", "default": "" }, "layout": { "title": "Layout", "enum": [ "", "square", "tall", "wide" ], "type": "string", "description": "Filter by image layout. Options: \"square\", \"tall\", \"wide\".", "default": "" }, "license": { "title": "License", "enum": [ "", "creativecommon", "commercial" ], "type": "string", "description": "Filter by image license type. Options: \"all\", \"free\", \"share\", \"modify\".", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies recommended." } } }, "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 } } } } } } } } } } ```