# AI Crawler Access and llms.txt Visibility Panel (`lavender_whistle/ai-visibility-panel`) Actor Track which AI crawlers each website blocks or allows (GPTBot, ClaudeBot, CCBot, Google-Extended, PerplexityBot, Bytespider and more) plus whether it adopted the llms.txt standard. One clean row per domain from public robots.txt and llms.txt. Zero-config default run, no login, no PII. - **URL**: https://apify.com/lavender\_whistle/ai-visibility-panel.md - **Developed by:** [Cathal Judge](https://apify.com/lavender_whistle) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 result rows 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/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 ## AI Visibility Panel **Apify Store title:** `AI Crawler Access & llms.txt Visibility Panel` **Apify Store description:** > See, across any list of websites, which AI crawlers each site blocks or allows and whether it has adopted the new `llms.txt` standard. The actor reads each site's public `robots.txt` and `llms.txt` and returns one clean row per domain: a per-crawler blocked/allowed map for GPTBot, ChatGPT-User, OAI-SearchBot (OpenAI), ClaudeBot, anthropic-ai, Claude-Web (Anthropic), CCBot (Common Crawl), Google-Extended, PerplexityBot, Bytespider, Amazonbot and Applebot-Extended, plus `hasLlmsTxt`, `robotsHasAiRules`, a per-vendor breakdown, and a summary like "blocks 3 of 12 AI crawlers". Zero-config default run scans ~15 well-known media, SaaS and retail sites immediately. 100% public data: no login, no API key, no PII. ### Who buys this - **AI companies** - see exactly who blocks your crawler; build a licensing / partnership target list. - **GEO / SEO agencies** - audit whether client sites are visible to AI answer engines and have an `llms.txt`. - **AI-training / data teams** - map crawlable vs blocked domains before a crawl. - **Publishers & media** - benchmark your AI-access posture against peers. ### Source + legality `GET https://{domain}/robots.txt` and `GET https://{domain}/llms.txt` - two files every website publishes for crawlers to read. No authentication, no cookies, no PII. Public-data access is backed by *hiQ v. LinkedIn* and *Meta v. Bright Data*. A descriptive `User-Agent` is sent, redirects are followed, and one slow site never fails the run. ### How it reads robots.txt - User-agent tokens and field names are matched **case-insensitively** (real sites vary the case). - A crawler is **blocked** when its ruleset disallows the site root (`Disallow: /`) and does not re-allow it (`Allow: /`). - A blanket `User-agent: *` + `Disallow: /` counts as blocking **all** AI crawlers (via wildcard fallback). - A crawler named with `Allow: /` (some sites explicitly allow GPTBot) is correctly reported as allowed. - `hasLlmsTxt` is true only on HTTP 200 with a non-empty body, so soft-404 pages do not false-positive. ### Zero-config default run Leave the input empty: the actor scans a stable seed list (`openai.com`, `anthropic.com`, `nytimes.com`, `theverge.com`, `reddit.com`, `github.com`, `shopify.com`, `medium.com`, `cnn.com`, `stackoverflow.com`, `wikipedia.org`, `substack.com`, `notion.so`, `hubspot.com`, `cloudflare.com`) and returns one real row per domain, so the Store "try it" button works on first click. Point `domains` at your own list to scan any sites. ### Output fields (one row per domain) `domain, robotsStatus, llmsStatus, hasRobotsTxt, robotsReadable, robotsHasAiRules, blanketBlockAll, hasLlmsTxt, llmsTxtBytes, aiCrawlerCount, blockedCount, allowedCount, blocks{crawler:bool}, blockedCrawlers[], vendors{vendor:allowed|partial|blocked}, summary, robotsUrl, llmsUrl, source, checkedAt` ### Run locally (no Apify account) ```bash npm install npm test --workspace actors/ai-visibility-panel ## or run the actor directly: node actors/ai-visibility-panel/src/main.js ```` ### Proposed pricing (set in Apify at publish - CJ-gated) Pay-Per-Event in the documented winning band: - **~$0.004 per domain analyzed** (one billed result row per domain) Pricing is NOT set here - it is configured on the Apify Store at publish and requires CJ sign-off. No account, no publish, no spend happens in this repo. # Actor input Schema ## `domains` (type: `array`): Website domains to check, e.g. \['nytimes.com','openai.com']. Accepts a bare domain or a full URL; www is stripped. Left empty, the actor scans a built-in seed list of ~15 well-known sites. ## `maxDomains` (type: `integer`): Safety cap on how many domains (and therefore billed result rows) a single run scans. Duplicates are removed before this cap is applied. ## Actor input object example ```json { "domains": [ "openai.com", "anthropic.com", "nytimes.com", "theverge.com", "reddit.com", "github.com", "shopify.com", "medium.com", "cnn.com", "stackoverflow.com", "wikipedia.org", "substack.com", "notion.so", "hubspot.com", "cloudflare.com" ], "maxDomains": 200 } ``` # 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 = { "domains": [ "openai.com", "anthropic.com", "nytimes.com", "theverge.com", "reddit.com", "github.com", "shopify.com", "medium.com", "cnn.com", "stackoverflow.com", "wikipedia.org", "substack.com", "notion.so", "hubspot.com", "cloudflare.com" ], "maxDomains": 200 }; // Run the Actor and wait for it to finish const run = await client.actor("lavender_whistle/ai-visibility-panel").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 = { "domains": [ "openai.com", "anthropic.com", "nytimes.com", "theverge.com", "reddit.com", "github.com", "shopify.com", "medium.com", "cnn.com", "stackoverflow.com", "wikipedia.org", "substack.com", "notion.so", "hubspot.com", "cloudflare.com", ], "maxDomains": 200, } # Run the Actor and wait for it to finish run = client.actor("lavender_whistle/ai-visibility-panel").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 '{ "domains": [ "openai.com", "anthropic.com", "nytimes.com", "theverge.com", "reddit.com", "github.com", "shopify.com", "medium.com", "cnn.com", "stackoverflow.com", "wikipedia.org", "substack.com", "notion.so", "hubspot.com", "cloudflare.com" ], "maxDomains": 200 }' | apify call lavender_whistle/ai-visibility-panel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lavender_whistle/ai-visibility-panel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Crawler Access and llms.txt Visibility Panel", "description": "Track which AI crawlers each website blocks or allows (GPTBot, ClaudeBot, CCBot, Google-Extended, PerplexityBot, Bytespider and more) plus whether it adopted the llms.txt standard. One clean row per domain from public robots.txt and llms.txt. Zero-config default run, no login, no PII.", "version": "0.1", "x-build-id": "h6HgM2NHFqzA3ATNK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lavender_whistle~ai-visibility-panel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lavender_whistle-ai-visibility-panel", "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/lavender_whistle~ai-visibility-panel/runs": { "post": { "operationId": "runs-sync-lavender_whistle-ai-visibility-panel", "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/lavender_whistle~ai-visibility-panel/run-sync": { "post": { "operationId": "run-sync-lavender_whistle-ai-visibility-panel", "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", "properties": { "domains": { "title": "Domains to scan", "type": "array", "description": "Website domains to check, e.g. ['nytimes.com','openai.com']. Accepts a bare domain or a full URL; www is stripped. Left empty, the actor scans a built-in seed list of ~15 well-known sites.", "items": { "type": "string" }, "default": [ "openai.com", "anthropic.com", "nytimes.com", "theverge.com", "reddit.com", "github.com", "shopify.com", "medium.com", "cnn.com", "stackoverflow.com", "wikipedia.org", "substack.com", "notion.so", "hubspot.com", "cloudflare.com" ] }, "maxDomains": { "title": "Max domains per run", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Safety cap on how many domains (and therefore billed result rows) a single run scans. Duplicates are removed before this cap is applied.", "default": 200 } } }, "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 } } } } } } } } } } ```