# Mojeek AI Summary Scraper (`codingfrontend/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/codingfrontend/mojeek-ai-summary-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** AI, Developer tools, SEO tools - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 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 Extract Mojeek's experimental LLM-generated AI summaries for any search query, along with the organic search results that serve as citation sources. ### What This Actor Does Mojeek displays AI-generated summaries (powered by Large Language Models) at the top of search results for many queries. This actor: - Navigates to `https://www.mojeek.com/search?q=QUERY&fmt=summary` - Extracts the full AI summary text (both plain and Markdown formats) - Records which source positions are cited inline (e.g. `[1][3][5]`) - Extracts all 8 organic search results shown alongside the summary (these are the citation sources) - Includes the disclaimer text and a unique session ID for the summary ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `queries` | `array` | **required** | List of search queries to process | | `query` | `string` | — | Single query shortcut (alternative to `queries`) | | `language` | `string` | `"en"` | Language code (e.g. `en`, `fr`, `de`) | | `region` | `string` | `""` | Country code for regional results (e.g. `GB`, `US`) | | `proxyConfiguration` | `object` | — | Apify proxy settings (recommended for cloud runs) | #### Example Input ```json { "queries": ["artificial intelligence", "climate change", "quantum computing"], "language": "en", "region": "" } ```` ### Output Each query produces one dataset item: | Field | Type | Description | |-------|------|-------------| | `query` | string | The search query used | | `hasSummary` | boolean | Whether an AI summary was found | | `aiSummary` | string | Plain text summary (markdown stripped) | | `aiSummaryMarkdown` | string | Raw summary with `**bold**` and `[N]` citation markers | | `aiSummaryLength` | number | Length of the markdown summary in characters | | `summaryId` | string | Unique session ID for this summary (`data-suid`) | | `disclaimer` | string | Mojeek's disclaimer about AI accuracy | | `citedSourcePositions` | array\ | Positions cited inline, e.g. `[1, 3, 5]` | | `citedSourcesCount` | number | Number of unique citation positions | | `organicResults` | array\ | The 8 source pages listed alongside the summary | | `organicResultsCount` | number | Number of organic results (usually 8) | | `searchUrl` | string | Final URL used for this query | | `language` | string | Language used | | `region` | string | Region used | | `scrapedAt` | string | ISO timestamp | #### `organicResults` Item Fields | Field | Type | Description | |-------|------|-------------| | `position` | number | Citation position (1–8) | | `title` | string | Page title | | `url` | string | Full URL | | `displayedUrl` | string | Displayed URL under the title | | `snippet` | string | Short description (when available) | #### Example Output ```json { "query": "artificial intelligence", "hasSummary": true, "aiSummary": "Artificial Intelligence (AI) refers to the capability of computational systems to perform tasks typically associated with human intelligence [1][3][5]...", "aiSummaryMarkdown": "**Artificial Intelligence (AI)** refers to the capability... [1][3][5]...", "aiSummaryLength": 772, "summaryId": "78c731e97d320257", "disclaimer": "Summaries are experimental and generated by large language models...", "citedSourcePositions": [1, 2, 3, 4, 5, 7, 8], "citedSourcesCount": 7, "organicResults": [ { "position": 1, "title": "Artificial intelligence - Wikipedia", "url": "https://en.wikipedia.org/wiki/Artificial_Intelligence", "displayedUrl": "https://en.wikipedia.org › wiki › Artificial_Intelligence", "snippet": null } ], "organicResultsCount": 8, "searchUrl": "https://www.mojeek.com/search?q=artificial+intelligence&fmt=summary&kalid=78c731e97d320257", "language": "en", "region": null, "scrapedAt": "2026-05-12T17:21:43.011Z" } ``` ### Dataset Views Two views are available in the Apify console: - **AI Summary Results Overview** — Compact table: query, hasSummary, summary length, cited sources count, organic count, scrapedAt - **Full AI Summaries** — Extended table: includes the full aiSummary, aiSummaryMarkdown, disclaimer, citedSourcePositions, and searchUrl ### Notes - **Experimental feature**: Mojeek AI summaries are experimental and not always available. `hasSummary` will be `false` when no summary is shown. - **No pagination**: Each query produces exactly one summary (there is no multi-page summary). - **Source details**: Inline citation details (`span.details`) are dynamically loaded by Mojeek on user click, so `citedSourcePositions` tracks which organic results are referenced rather than fetching dynamic data. - **Proxy**: A residential proxy (`useApifyProxy: true`) is recommended for high-volume runs to avoid rate limiting. - **Browser**: Uses Firefox (Playwright) for JavaScript rendering. ### Use Cases - **AI research**: Compare how LLMs summarize the same topic across queries - **Content monitoring**: Track what sources Mojeek's AI cites for specific topics - **SEO analysis**: See which pages are cited as authoritative sources by Mojeek AI - **Query benchmarking**: Evaluate summary quality and length across different queries # 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("codingfrontend/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("codingfrontend/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 codingfrontend/mojeek-ai-summary-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/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": "1.0", "x-build-id": "ktF7l0UAyU6ZWLY9o" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~mojeek-ai-summary-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~mojeek-ai-summary-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-mojeek-ai-summary-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~mojeek-ai-summary-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-mojeek-ai-summary-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```