# llms.txt Generator — Make Any Website AI-Readable (`nacred_corner/llms-txt-generator`) Actor Crawl a website and generate llms.txt + llms-full.txt for AI/LLM discoverability and RAG pipelines. Batch, API-callable, pay-per-page. - **URL**: https://apify.com/nacred\_corner/llms-txt-generator.md - **Developed by:** [Cenk KURTOĞLU](https://apify.com/nacred_corner) (community) - **Categories:** AI, Automation, SEO tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## llms.txt Generator — Make Any Website AI-Readable (llms.txt + llms-full.txt) Generate **`llms.txt`** and **`llms-full.txt`** for any website — the emerging standard that tells AI models (ChatGPT, Claude, Perplexity, Gemini) what your site is about and how to reference it. Think **robots.txt, but for LLMs**. Point this Actor at a URL. It crawls the site, extracts titles, descriptions, and clean main content, and produces two downloadable files ready to drop at your domain root. ### Why llms.txt matters in 2026 - **RAG is the default architecture** for AI apps — `llms.txt` files are pre-structured, information-dense input made for retrieval pipelines. - **Google added `llms.txt` to Chrome Lighthouse's "Agentic Browsing" audit** (May 2026) as an AI-readiness check. - AI search visibility (GEO/AEO) increasingly depends on giving models a clean, structured map of your content. ### What this Actor does - Crawls a website (same-domain links, up to your `maxPages` limit). - Extracts `title`, meta `description`, and clean main content (`
`/`
` aware, strips nav/footer/scripts). - Builds **`llms.txt`** — a concise, linked index of your pages. - Builds **`llms-full.txt`** — the full text of every page for complete LLM/RAG ingestion. - Pushes a per-page dataset (URL, title, description) you can export as JSON/CSV. ### Built for developers & scale (not just one page) Unlike one-off web UI tools, this Actor is **API-callable, batch-friendly, and pipeline-ready**: - Generate `llms.txt` for **hundreds of client sites** programmatically. - Wire it into a **content/RAG pipeline** (n8n, cron, CI) via the Apify API. - Pay only for pages processed. ### Input | Field | Type | Default | Description | |---|---|---|---| | `websiteUrl` | string | — | Site to crawl (required). | | `maxPages` | integer | 50 | Max pages processed (controls cost/runtime). | | `includeFullText` | boolean | true | Also generate `llms-full.txt`. | | `maxContentCharsPerPage` | integer | 12000 | Truncate very long pages in the full file. | ### Output - **Key-value store**: `llms.txt` and `llms-full.txt` (download from the run's Storage tab). - **Dataset**: one record per page (`url`, `title`, `description`, `contentChars`). ### Example ```json { "websiteUrl": "https://example.com", "maxPages": 100, "includeFullText": true } ```` Then place the resulting `llms.txt` at `https://example.com/llms.txt` (root, like `robots.txt`). ### Use cases - **AI SEO / GEO**: make your site discoverable and quotable by AI assistants. - **RAG ingestion**: turn any docs/marketing site into clean, chunk-ready text. - **Agencies**: batch-generate `llms.txt` for every client site. - **AI agents**: give agents a structured, low-noise view of a domain. *** *Tip: run on your documentation or marketing site first, review `llms.txt`, then publish it at your domain root.* # Actor input Schema ## `websiteUrl` (type: `string`): The site to make AI-readable. The crawler starts here and follows same-domain links. ## `maxPages` (type: `integer`): Upper limit on pages processed. Controls cost and runtime. ## `includeFullText` (type: `boolean`): Generate the full-content file (all page text) in addition to the concise llms.txt index. ## `maxContentCharsPerPage` (type: `integer`): Truncate very long pages in llms-full.txt to keep the output manageable. ## Actor input object example ```json { "websiteUrl": "https://example.com", "maxPages": 50, "includeFullText": true, "maxContentCharsPerPage": 12000 } ``` # 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 = { "websiteUrl": "https://docs.apify.com" }; // Run the Actor and wait for it to finish const run = await client.actor("nacred_corner/llms-txt-generator").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 = { "websiteUrl": "https://docs.apify.com" } # Run the Actor and wait for it to finish run = client.actor("nacred_corner/llms-txt-generator").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 '{ "websiteUrl": "https://docs.apify.com" }' | apify call nacred_corner/llms-txt-generator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nacred_corner/llms-txt-generator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "llms.txt Generator — Make Any Website AI-Readable", "description": "Crawl a website and generate llms.txt + llms-full.txt for AI/LLM discoverability and RAG pipelines. Batch, API-callable, pay-per-page.", "version": "0.1", "x-build-id": "82fv21jfRWTKV4g4m" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nacred_corner~llms-txt-generator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nacred_corner-llms-txt-generator", "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/nacred_corner~llms-txt-generator/runs": { "post": { "operationId": "runs-sync-nacred_corner-llms-txt-generator", "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/nacred_corner~llms-txt-generator/run-sync": { "post": { "operationId": "run-sync-nacred_corner-llms-txt-generator", "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": [ "websiteUrl" ], "properties": { "websiteUrl": { "title": "Website URL", "type": "string", "description": "The site to make AI-readable. The crawler starts here and follows same-domain links." }, "maxPages": { "title": "Max pages to crawl", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Upper limit on pages processed. Controls cost and runtime.", "default": 50 }, "includeFullText": { "title": "Also generate llms-full.txt", "type": "boolean", "description": "Generate the full-content file (all page text) in addition to the concise llms.txt index.", "default": true }, "maxContentCharsPerPage": { "title": "Max content characters per page", "minimum": 1000, "maximum": 100000, "type": "integer", "description": "Truncate very long pages in llms-full.txt to keep the output manageable.", "default": 12000 } } }, "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 } } } } } } } } } } ```