# Cookie Consent Banner Audit (`pattonholdings/cookie-consent-audit`) Actor Detect cookie consent banners (CMPs) on any URL across 18 vendors: OneTrust, Cookiebot, TrustArc, Iubenda, Didomi and more. Flags cookies set before consent and missing TCF v2 strings. Use for GDPR/CCPA compliance audits. Input: url or urls\[]. Output: JSON report + grade. - **URL**: https://apify.com/pattonholdings/cookie-consent-audit.md - **Developed by:** [Coleton Patton](https://apify.com/pattonholdings) (community) - **Categories:** Developer tools, Marketing - **Stats:** 1 total users, 0 monthly users, 100.0% 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 ## Cookie Consent Banner Audit Detect cookie consent banners on any URL. Identifies which CMP vendor is in use, flags pre-consent cookie placement (a strict-GDPR violation), and returns an A-F compliance grade. ### What it detects 18 major Consent Management Platform (CMP) vendors: OneTrust, Cookiebot, TrustArc, Iubenda, Quantcast Choice, Usercentrics, Didomi, CookieYes, Termly, CookieScript, Klaro (PrivacyTools), Osano, Civic Cookie Control, Cookiepro, Sourcepoint, tarteaucitron, GDPR-by-WP, plus custom/unknown banners. ### What it catches | Flag | Severity | |---|---| | Trackers detected but NO consent banner | Critical — likely GDPR non-compliant | | 3+ cookies set BEFORE consent | Critical — strict GDPR violation | | CMP found but no TCF v2 consent string | Important — may be non-compliant in EU | | No cookie banner (and no trackers) | Low — site is probably fine | ### Input ```json { "url": "https://example.com" } ```` ### Output ```json { "url": "...", "grade": "C", "score": 60, "cmpDetected": true, "cmps": [ { "vendor": "OneTrust", "evidence": [ { "type": "script-host", "match": "cdn.cookielaw.org" }, { "type": "dom-marker", "match": "#onetrust-consent-sdk" } ] } ], "trackersFoundInHtml": ["Google Tag Manager", "Facebook Pixel"], "cookiesSetBeforeConsent": 6, "hasTcfConsent": false, "issues": [ "6 cookies set BEFORE user could consent — strict GDPR violation", "CMP detected but no TCF v2 consent string — may be non-compliant in EU" ] } ``` ### Use cases - **GDPR compliance audits** — for EU/UK customer-facing sites - **Lead enrichment for privacy consultants** — find prospects failing TCF v2 - **Competitive analysis** — what CMP do your peers use? - **Pre-launch QA** — verify the consent banner actually loads before users see trackers ### Pricing Pay-per-result: **$0.005/URL.** Fetch-only. ### Limitations This Actor parses raw HTML — banners loaded only after JavaScript execution may not be detected. For full coverage on SPAs, pair with the Playwright-based Tracking Pixel Detector from the same author. ### Author Built by [Peak Post](https://peakpost.ca). Part of the Privacy Audit Suite alongside Tracking Pixel Detector. # Actor input Schema ## `url` (type: `string`): A single page URL to audit for consent banner + tracker compliance. ## `urls` (type: `array`): Array of URLs to audit (max 1000). ## Actor input object example ```json { "url": "https://example.com" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "https://example.com" }; // Run the Actor and wait for it to finish const run = await client.actor("pattonholdings/cookie-consent-audit").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "url": "https://example.com" } # Run the Actor and wait for it to finish run = client.actor("pattonholdings/cookie-consent-audit").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 '{ "url": "https://example.com" }' | apify call pattonholdings/cookie-consent-audit --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pattonholdings/cookie-consent-audit", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cookie Consent Banner Audit", "description": "Detect cookie consent banners (CMPs) on any URL across 18 vendors: OneTrust, Cookiebot, TrustArc, Iubenda, Didomi and more. Flags cookies set before consent and missing TCF v2 strings. Use for GDPR/CCPA compliance audits. Input: url or urls[]. Output: JSON report + grade.", "version": "1.0", "x-build-id": "RenPv3rMASOqF80ph" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pattonholdings~cookie-consent-audit/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pattonholdings-cookie-consent-audit", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pattonholdings~cookie-consent-audit/runs": { "post": { "operationId": "runs-sync-pattonholdings-cookie-consent-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pattonholdings~cookie-consent-audit/run-sync": { "post": { "operationId": "run-sync-pattonholdings-cookie-consent-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "url": { "title": "URL", "type": "string", "description": "A single page URL to audit for consent banner + tracker compliance." }, "urls": { "title": "URLs", "uniqueItems": true, "type": "array", "description": "Array of URLs to audit (max 1000).", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```