# Mojeek AI Summary Scraper (`searchapi/mojeek-ai-summary-scraper`) Actor Scrapes Mojeek's experimental AI-generated summaries for search queries. Extracts the LLM summary text, source citations, source snippets, and organic search results shown alongside the summary. - **URL**: https://apify.com/searchapi/mojeek-ai-summary-scraper.md - **Developed by:** [Search API](https://apify.com/searchapi) (community) - **Categories:** AI, Developer tools, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 mojeek ai summary 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 ## Mojeek AI Summary Scraper ### What is this tool? Mojeek AI Summary Scraper helps you collect ai data from Mojeek (the privacy-respecting search engine with its own index). 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 **33 fields**, organized into the following categories: **Identity** (5 fields): Type, Result Type, Position, Page, Error Type **URLs** (1 fields): Search URL **Text** (3 fields): AI Answer (text), Summary Title, Summary Subtitle **Engagement** (5 fields): Sources Count, Inline References Count, Follow-up Questions Count, Related Questions Count, Organic Results Count **Location** (2 fields): Related Questions, Country **Source** (1 fields): Sources **Search Context** (4 fields): Query, Search Query, Search Metadata, Language **Other** (12 fields): AI Answer (HTML), AI Answer Length, AI Answer Tokens, Model, Model Provider, Inline References, Follow-up Questions, Organic Results, First Organic Result, Matched Selector, Extraction Confidence, Scraped At ### 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 Queries** | List of search queries to get AI summaries for. Each query generates one dataset item. | Yes | — | | **Language** | Language code for results (e.g. 'en', 'de', 'fr'). | No | en | | **Region / Country** | Region code for localized results (e.g. 'GB', 'US', 'IN'). | No | — | ### Output Your results come in a clean, organized table with **two views**: #### Overview view Shows the most important fields at a glance: - **Position** - **Search Query** - **AI Answer Length** - **Sources Count** - **Follow-up Questions Count** - **Extraction Confidence** - **Scraped At** #### Full details view Shows all 33 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 Mojeek?** Mojeek 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 ## `queries` (type: `array`): List of search queries to get AI summaries for. Each query generates one dataset item. ## `language` (type: `string`): Language code for results (e.g. 'en', 'de', 'fr'). ## `region` (type: `string`): Region code for localized results (e.g. 'GB', 'US', 'IN'). ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies recommended for reliable results. ## Actor input object example ```json { "queries": [ "artificial intelligence", "climate change" ], "language": "en", "region": "", "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 = { "queries": [ "artificial intelligence", "climate change" ], "language": "en", "region": "", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("searchapi/mojeek-ai-summary-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 = { "queries": [ "artificial intelligence", "climate change", ], "language": "en", "region": "", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("searchapi/mojeek-ai-summary-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 '{ "queries": [ "artificial intelligence", "climate change" ], "language": "en", "region": "", "proxyConfiguration": { "useApifyProxy": true } }' | apify call searchapi/mojeek-ai-summary-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=searchapi/mojeek-ai-summary-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mojeek AI Summary Scraper", "description": "Scrapes Mojeek's experimental AI-generated summaries for search queries. Extracts the LLM summary text, source citations, source snippets, and organic search results shown alongside the summary.", "version": "2.0", "x-build-id": "Cuv9yxskuPrwM7lYX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/searchapi~mojeek-ai-summary-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-searchapi-mojeek-ai-summary-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/searchapi~mojeek-ai-summary-scraper/runs": { "post": { "operationId": "runs-sync-searchapi-mojeek-ai-summary-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/searchapi~mojeek-ai-summary-scraper/run-sync": { "post": { "operationId": "run-sync-searchapi-mojeek-ai-summary-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Search Queries", "type": "array", "description": "List of search queries to get AI summaries for. Each query generates one dataset item.", "items": { "type": "string" } }, "language": { "title": "Language", "type": "string", "description": "Language code for results (e.g. 'en', 'de', 'fr').", "default": "en" }, "region": { "title": "Region / Country", "type": "string", "description": "Region code for localized results (e.g. 'GB', 'US', 'IN').", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies recommended for reliable results." } } }, "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 } } } } } } } } } } ```