# Robots.txt Evidence Auditor (`gifted_wagon/robots-txt-evidence-auditor`) Actor

Parse robots.txt rules into normalized policy evidence, sitemap references, tested paths, and truthful failures.

- **URL**: https://apify.com/gifted\_wagon/robots-txt-evidence-auditor.md
- **Developed by:** [Michael Olmos](https://apify.com/gifted_wagon) (community)
- **Categories:** SEO tools, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 site auditeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## Robots.txt Evidence Auditor

Parse robots.txt rules into normalized policy evidence, sitemap references, tested paths, and truthful failures.

### Reliability and safety

- Normalized user-agent groups.
- Allow disallow crawl-delay and sitemap evidence.
- Bounded path policy checks.
- Safe redirect validation.
- Explicit uncharged failures.
- Inputs are deduplicated and bounded; the default memory is locked to 256 MB.

### Charging

PAY\_PER\_EVENT uses a one-time Actor-start event plus `site-audited`. Only successful completed audit rows are charged. Invalid inputs, DNS/network/TLS failures, and the OUTPUT summary are not charged.

### Example input

```json
{
  "urls": [
    "https://www.google.com/"
  ],
  "userAgent": "*",
  "testPaths": [
    "/search",
    "/"
  ],
  "maxSites": 1,
  "timeoutSecs": 20
}
```

### Output

The default dataset contains normalized evidence rows. The OUTPUT record reports completed, failed, duplicate, budget-limited, and input-limited counts without hiding partial failures.

# Actor input Schema

## `urls` (type: `array`):

Public site roots or robots.txt URLs to audit.

## `userAgent` (type: `string`):

Crawler token used for path tests.

## `testPaths` (type: `array`):

Optional URL paths checked against the selected group.

## `maxSites` (type: `integer`):

Maximum unique sites audited and charged.

## `timeoutSecs` (type: `integer`):

Network timeout per robots.txt request.

## Actor input object example

```json
{
  "urls": [
    "https://www.google.com/"
  ],
  "userAgent": "*",
  "testPaths": [
    "/"
  ],
  "maxSites": 100,
  "timeoutSecs": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("gifted_wagon/robots-txt-evidence-auditor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("gifted_wagon/robots-txt-evidence-auditor").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 '{}' |
apify call gifted_wagon/robots-txt-evidence-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gifted_wagon/robots-txt-evidence-auditor"
        }
    }
}

```

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/omfVNUi7mhUWEC4rX/builds/LCFt53VE0rxNc4Yd9/openapi.json