# Brave Ai Mode Scraper (`codingfrontend/brave-ai-mode-scraper`) Actor Scrapes Brave Search's AI Summarizer answers (AI Mode). Extracts the AI-synthesized summary text, cited sources, related questions, and accompanying organic results for any query. - **URL**: https://apify.com/codingfrontend/brave-ai-mode-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** AI, 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 AI Mode Scraper Extract AI-generated answers from [Brave AI Mode](https://search.brave.com/?q=...&summary=1) — Brave's privacy-focused AI search that provides summarised answers with cited sources, without sending your data to third parties. ### Features - **AI summary** — full text of the AI-generated answer - **Cited sources** — array of `{title, url}` objects cited in the answer - **Related questions** — follow-up questions suggested by Brave AI - **Organic results** — accompanying web results shown alongside the AI answer - **Metadata** — summary length, sources count, scrape timestamp - **Geo-targeting** — set `country` and `language` for localised AI responses - **Proxy support** — works with Apify residential/datacenter proxies ### Input Parameters | Field | Type | Default | Description | |-------|------|---------|-------------| | `query` | string | *(required)* | Question or search query for Brave AI Mode | | `country` | string | `"us"` | Country code for localised results | | `language` | string | `"en"` | Language code | | `proxyConfiguration` | object | — | Apify proxy config (recommended: residential) | #### Example INPUT.json ```json { "query": "What is quantum computing and how does it work?", "country": "us", "language": "en", "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output Fields | Field | Type | Description | |-------|------|-------------| | `query` | string | The query sent to Brave AI Mode | | `aiSummary` | string | Full text of the AI-generated answer | | `aiSummaryLength` | integer | Character count of the AI summary | | `hasSummary` | boolean | Whether a Brave AI answer was returned | | `sources` | array | Cited sources — array of `{title, url}` objects | | `sourcesCount` | integer | Number of cited sources | | `relatedQuestions` | array | Follow-up / related questions from Brave AI | | `organicResults` | array | Top organic web results shown alongside the AI answer | | `matchedSelector` | string | CSS selector that matched the AI summary container (debug field) | | `searchUrl` | string | Full Brave search URL used | | `country` | string | Country code used | | `language` | string | Language code used | | `error` | string | Error message (null unless the AI answer could not be retrieved) | | `scrapedAt` | string | ISO 8601 scrape timestamp | #### Example Output ```json { "query": "What is quantum computing and how does it work?", "aiSummary": "Quantum computing is a type of computation that uses quantum-mechanical phenomena such as superposition and entanglement to process information...", "aiSummaryLength": 2847, "hasSummary": true, "sources": [ { "title": "IBM — What is quantum computing?", "url": "https://www.ibm.com/topics/quantum-computing" }, { "title": "Wikipedia — Quantum computing", "url": "https://en.wikipedia.org/wiki/Quantum_computing" } ], "sourcesCount": 12, "relatedQuestions": [ "How is quantum computing different from classical computing?", "What are the practical applications of quantum computers?" ], "organicResults": [ { "title": "Quantum Computing Explained", "url": "https://quantum.country/", "snippet": "..." } ], "matchedSelector": "#summary-container", "searchUrl": "https://search.brave.com/search?q=What+is+quantum+computing&summary=1&country=us&lang=en", "country": "us", "language": "en", "error": null, "scrapedAt": "2025-05-01T12:00:00.000Z" } ``` ### Notes - Each run processes a **single query** — one dataset item per run - `hasSummary: false` indicates Brave did not return an AI answer for the query (may occur for very recent events or unsupported query types) - Brave AI Mode requires the `summary=1` URL parameter — this is handled automatically by the scraper - The AI summary content depends on Brave's server-side AI response and may vary between runs - There is **no pagination** for AI Mode — each query produces one result item - Use a **residential proxy** for consistent access to the AI answer endpoint ### Why Use This Scraper? - **Privacy-first AI answers** — Brave's AI answers are generated without tracking or profiling users - **Independent AI model** — Brave uses its own AI stack (not OpenAI) for local AI Mode answers - **Source transparency** — Brave AI explicitly cites sources in its answers - **Research automation** — test hundreds of queries for AI answer presence and content ### Use Cases - **Privacy AI Research** — study AI answer quality from a non-Google, privacy-first perspective - **SEO Source Attribution** — track which pages Brave AI cites as authoritative sources - **AI Answer Benchmarking** — compare Brave AI answers vs Google AI Overviews for the same queries - **Content Strategy** — ensure your content is cited in Brave's AI answers for your topics - **Brand Monitoring** — see how Brave's AI describes your brand or products ### 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`): A single search query to get the Brave AI Summarizer response for. ## `queries` (type: `array`): Optional list of queries to process in batch (overrides 'query' if provided). ## `maxItems` (type: `integer`): Maximum number of queries to process (when using the 'queries' list). ## `country` (type: `string`): Brave country code for localized results (e.g. 'us', 'gb', 'in'). ## `language` (type: `string`): Brave language code (e.g. 'en', 'de', 'fr'). ## `waitForSummary` (type: `boolean`): Whether to wait extra time for the AI summary to load dynamically. ## `summaryTimeoutMs` (type: `integer`): Maximum milliseconds to wait for the AI summary block to appear. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies strongly recommended for reliable AI summary access. ## Actor input object example ```json { "query": "What is machine learning", "queries": [ "What is AI", "How does machine learning work" ], "maxItems": 10, "country": "us", "language": "en", "waitForSummary": true, "summaryTimeoutMs": 15000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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": "What is artificial intelligence", "maxItems": 10, "country": "us", "language": "en", "summaryTimeoutMs": 15000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/brave-ai-mode-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": "What is artificial intelligence", "maxItems": 10, "country": "us", "language": "en", "summaryTimeoutMs": 15000, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/brave-ai-mode-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": "What is artificial intelligence", "maxItems": 10, "country": "us", "language": "en", "summaryTimeoutMs": 15000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call codingfrontend/brave-ai-mode-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/brave-ai-mode-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Brave Ai Mode Scraper", "description": "Scrapes Brave Search's AI Summarizer answers (AI Mode). Extracts the AI-synthesized summary text, cited sources, related questions, and accompanying organic results for any query.", "version": "1.0", "x-build-id": "dXUpCzX6JvmAHDm8c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~brave-ai-mode-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-brave-ai-mode-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~brave-ai-mode-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-brave-ai-mode-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~brave-ai-mode-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-brave-ai-mode-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "A single search query to get the Brave AI Summarizer response for." }, "queries": { "title": "Multiple Queries", "type": "array", "description": "Optional list of queries to process in batch (overrides 'query' if provided)." }, "maxItems": { "title": "Max Queries", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of queries to process (when using the 'queries' list).", "default": 10 }, "country": { "title": "Country", "type": "string", "description": "Brave country code for localized results (e.g. 'us', 'gb', 'in').", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Brave language code (e.g. 'en', 'de', 'fr').", "default": "en" }, "waitForSummary": { "title": "Wait for AI Summary", "type": "boolean", "description": "Whether to wait extra time for the AI summary to load dynamically.", "default": true }, "summaryTimeoutMs": { "title": "Summary Timeout (ms)", "minimum": 3000, "maximum": 60000, "type": "integer", "description": "Maximum milliseconds to wait for the AI summary block to appear.", "default": 15000 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies strongly recommended for reliable AI summary access." } } }, "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 } } } } } } } } } } ```