# EU DSA Transparency Database β€” Content Moderation Records API (`nexgendata/eu-dsa-transparency-tracker`) Actor Pull per-platform content-moderation statements of reasons from the official EU DSA Transparency Database β€” category, decision, automation flags. For platform-regulation research & compliance. - **URL**: https://apify.com/nexgendata/eu-dsa-transparency-tracker.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 moderation records 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## EU DSA Transparency Database Pull content-moderation "statements of reasons" that platforms submit to the EU's DSA Transparency Database β€” per platform, per day. See what each platform removed, disabled or restricted, why, and whether it was automated. For platform-regulation research, compliance and competitive analysis. > Factual public regulatory data from the official EU DSA Transparency Database. Not legal advice. ### ⏰ Run this as a daily platform-moderation monitor (recommended) ```json { "platform": "Airbnb", "dateFrom": "2026-06-30", "dateTo": "2026-06-30", "maxResults": 100 } ```` Schedule a daily sweep (`0 8 * * *`) to track a platform's moderation activity over time. ### πŸ“Š What you get Clean JSON, one record per statement of reasons (fields from a live test run): - `date` Β· `platform` - `category` Β· `category_specification` β€” the violation category - `decision_ground` β€” illegal vs. incompatible content - `decision_visibility` β€” removal / disabling / demotion / restriction - `decision_monetary` Β· `decision_provision` Β· `decision_account` β€” other decision types - `content_type` Β· `source_type` - `automated_detection` Β· `automated_decision` β€” automation flags - `application_date` Β· `content_date` Β· `created_at` - `uuid` Β· `sourceUrl` β€” official statement reference **Pricing:** $0.10 per moderation record (Pay-Per-Event) β€” about **10 records per $1**. Plus a $0.01 actor-start. Decision-grade regulatory data. ### πŸ—ΊοΈ Scope (honest) - **Source:** the official EU DSA Transparency Database daily **per-platform light** files (no paid API key or token needed). - **Retention:** the database holds the **last ~6 months** of statements. - **Light schema:** excludes the long free-text explanation fields and `territorial_scope` (those are only in the full archive). All categorical decision fields are included. - **Best for the platform long-tail** (marketplaces, dating, travel, app stores, etc.). The mega-platforms (TikTok, Google, Amazon, Meta) submit *millions* of statements per day, producing very large daily files better suited to the EU's bulk-download or Research-API paths. - **Roadmap:** a daily-aggregate counts mode (statements by category/decision per platform). ### πŸ€– Use with AI agents **Sample agent prompt:** ``` Pull yesterday's Airbnb moderation statements and summarize the top categories and how many were automated. ``` **Agentic payments (x402):** Supports agentic payment via x402 β€” call this actor with USDC, no API key required. ### πŸ”— Related regulatory actors EU platform-regulation suite: [EU AI Act Tracker](https://apify.com/nexgendata/eu-ai-act-intelligence) Agent front doors: [Legal MCP](https://apify.com/nexgendata/legal-mcp-server) Β· [Regulatory Filings MCP](https://apify.com/nexgendata/regulatory-filings-mcp) *** *Factual public EU DSA regulatory data. Not legal advice.* # Actor input Schema ## `platform` (type: `string`): Which platform's content-moderation statements to pull (per-platform daily files). ## `dateFrom` (type: `string`): YYYY-MM-DD start date (statements are retained for the last 6 months). ## `dateTo` (type: `string`): YYYY-MM-DD end date (defaults to From date). ## `category` (type: `string`): Optional exact category keystone to filter, e.g. STATEMENT\_CATEGORY\_SCAMS\_AND\_FRAUD. Leave blank for all. ## `maxResults` (type: `integer`): Maximum moderation records to return. ## Actor input object example ```json { "platform": "Airbnb", "maxResults": 25 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/eu-dsa-transparency-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/eu-dsa-transparency-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nexgendata/eu-dsa-transparency-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/eu-dsa-transparency-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EU DSA Transparency Database β€” Content Moderation Records API", "description": "Pull per-platform content-moderation statements of reasons from the official EU DSA Transparency Database β€” category, decision, automation flags. For platform-regulation research & compliance.", "version": "0.0", "x-build-id": "gNiIn7eVWubmvv60X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~eu-dsa-transparency-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-eu-dsa-transparency-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~eu-dsa-transparency-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-eu-dsa-transparency-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~eu-dsa-transparency-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-eu-dsa-transparency-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "platform": { "title": "Platform", "enum": [ "TikTok", "X", "Facebook", "Instagram", "YouTube", "Amazon Store", "Booking.com", "Airbnb", "Pinterest", "Reddit", "LinkedIn", "Snapchat", "Threads", "Google Play", "Google Shopping", "Google Maps", "App Store", "Temu", "AliExpress", "Shein", "Zalando", "Vinted UAB", "Tumblr", "Twitch", "WhatsApp Channels", "Bumble", "Tinder", "Trustpilot", "Tripadvisor", "EBay", "OLX", "Leboncoin", "Kleinanzeigen", "Wallapop", "Discord Netherlands B.V.", "Telegram", "Quora Ireland Limited" ], "type": "string", "description": "Which platform's content-moderation statements to pull (per-platform daily files).", "default": "Airbnb" }, "dateFrom": { "title": "From date", "type": "string", "description": "YYYY-MM-DD start date (statements are retained for the last 6 months)." }, "dateTo": { "title": "To date", "type": "string", "description": "YYYY-MM-DD end date (defaults to From date)." }, "category": { "title": "Category filter", "type": "string", "description": "Optional exact category keystone to filter, e.g. STATEMENT_CATEGORY_SCAMS_AND_FRAUD. Leave blank for all." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum moderation records to return.", "default": 25 } } }, "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 } } } } } } } } } } ```