# llms.txt Generator (`conserving_mastodon/llms-txt-generator`) Actor

A ready-to-review llms.txt draft for any site, built deterministically from its own sitemap, titles, and meta descriptions. No model, no invented copy: every line traces to the site itself. Saved as a downloadable llms.txt file. Charged only on completed generations.

- **URL**: https://apify.com/conserving\_mastodon/llms-txt-generator.md
- **Developed by:** [Chris Arsenault](https://apify.com/conserving_mastodon) (community)
- **Categories:** AI, SEO tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$250.00 / 1,000 completed generations

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

**A ready-to-review llms.txt draft for any site, in one call — built from what the site already says about itself.** The generator reads the sitemap, samples representative pages, and assembles the draft from the site's own titles and meta descriptions. Deterministic by design: **no language model, no invented copy.** Every line traces to the site's existing metadata, so reviewing the draft takes minutes, not an afternoon of fact-checking.

### What you get

- The draft saved as a downloadable **`llms.txt`** file on the run (plain text, ready to publish after review).
- A summary row: sitemap URLs found, pages sampled, entries written, sections.

Draft shape follows the emerging llms.txt convention:

```
## Site Name

> The site's own meta description.

### Section
- [Page title](https://site/page/): the page's own meta description.
```

Plumbing pages (cart, checkout, privacy, terms, and the like) are excluded automatically; content sections are chosen shallow-first so the draft reads like a curated map, not a URL dump.

### Pairs with the AI Access Audit

Our [AI Access Audit](https://apify.com/conserving_mastodon/ai-access-audit) tells you whether a site *has* an llms.txt and how AI crawlers are treated. When the answer is "missing," this Actor produces the draft. Audit, generate, review, publish, re-audit — a complete loop, each step one call.

### Honesty notes

- The draft is a **starting point built from the site's own words**; a human should review it before publishing, and the file's footer comment says so.
- Sites without a sitemap get a minimal draft from the root page only; the summary makes that visible.
- Unreachable sites report cleanly and **you are not charged**; billing is per completed generation.

Built by 1450 Enterprises.

# Actor input Schema

## `url` (type: `string`):

Root URL of the site to generate an llms.txt draft for.

## `maxPages` (type: `integer`):

How many representative pages to fetch for titles and descriptions. Plumbing pages (cart, privacy, etc.) are excluded automatically.

## Actor input object example

```json
{
  "url": "https://launchsmarter.1450enterprises.com",
  "maxPages": 12
}
```

# Actor output Schema

## `llms_txt_file` (type: `string`):

Download the draft directly; it is also included in the dataset row.

## `results` (type: `string`):

Sitemap URLs found, pages sampled, entries written, sections, and the full draft text.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "url": "https://launchsmarter.1450enterprises.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("conserving_mastodon/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "url": "https://launchsmarter.1450enterprises.com" }

# Run the Actor and wait for it to finish
run = client.actor("conserving_mastodon/llms-txt-generator").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "url": "https://launchsmarter.1450enterprises.com"
}' |
apify call conserving_mastodon/llms-txt-generator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,conserving_mastodon/llms-txt-generator"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/9RZwUPgIpohYchvCX/builds/7HAi9lmM9piyV6kj4/openapi.json