# Brave AI Mode Scraper (`searchapi/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/searchapi/brave-ai-mode-scraper.md - **Developed by:** [Search API](https://apify.com/searchapi) (community) - **Categories:** AI, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 brave ai mode 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 ## Brave AI Mode Scraper ### What is this tool? Brave AI Mode Scraper helps you collect ai data from Brave (the privacy-focused search engine). Just type in a question, and the tool will ask the AI and gather a comprehensive answer with the sources it used. ### What can you use it for? - Research on any topic with AI-generated summaries - Gather cited sources for fact-checking - Content creation and writing research - Quick answers to complex questions ### What data do you get? Each result includes up to **37 fields**, organized into the following categories: **Identity** (3 fields): type, resultType, position **URLs** (1 fields): searchUrl **Text** (2 fields): summaryTitle, summarySubtitle **Location** (3 fields): Related Qs, Country, relatedQuestions **Source** (2 fields): Sources, sources **Search Context** (5 fields): Query, Language, query, market, searchMetadata **Other** (21 fields): Has Summary, Summary Length, Model, Provider, citationsCount, Organic, Selector, Confidence, Scraped At, aiSummary, aiSummaryHtml, aiSummaryTokens, citations, inlineReferences, inlineReferencesCount, followupQuestions, followupQuestionsCount, organicResults, firstOrganicResult, error, errorType ### How to use it #### Step 1: Enter your search Type in any question you want answered, like "What is artificial intelligence?" or "How does solar power work?" #### 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** | A single search query to get the Brave AI Summarizer response for. | Yes | What is artificial intelligence | | **Multiple Queries** | Optional list of queries to process in batch (overrides 'query' if provided). | No | — | | **Max Queries** | Max queries to process (when using the 'queries' list). | No | 10 | | **Country** | Brave country code for localized results (e.g. 'us', 'gb', 'in'). | No | us | | **Language** | Brave language code (e.g. 'en', 'de', 'fr'). | No | en | | **Wait for AI Summary** | Whether to wait extra time for the AI summary to load dynamically. | No | true | | **Summary Timeout (ms)** | Max milliseconds to wait for the AI summary block to appear. | No | 15000 | ### Output Your results come in a clean, organized table with **two views**: #### Overview view Shows the most important fields at a glance: - **Query** - **Has Summary** - **Summary Length** - **Model** - **Provider** - **Sources** - **citationsCount** - **Related Qs** - **Organic** - **Selector** - **Confidence** - **Country** - **Language** - **Scraped At** #### Full details view Shows all 37 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 Brave?** Brave 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`): 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("searchapi/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("searchapi/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 searchapi/brave-ai-mode-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=searchapi/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": "2.0", "x-build-id": "5cAePZ0x3hGKbqZZ0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/searchapi~brave-ai-mode-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-searchapi-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/searchapi~brave-ai-mode-scraper/runs": { "post": { "operationId": "runs-sync-searchapi-brave-ai-mode-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/searchapi~brave-ai-mode-scraper/run-sync": { "post": { "operationId": "run-sync-searchapi-brave-ai-mode-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```