# HaveIBeenPwned / Data Breach Search API (`dev00/haveibeenpwned-data-breach-search-api`) Actor A high-performance, developer-friendly email breach intelligence API. Query a massive database of over 10 billion leaked records, credential dumps, public pastes, and compromised accounts to immediately determine if an email address has been compromised in any known historical data breach. - **URL**: https://apify.com/dev00/haveibeenpwned-data-breach-search-api.md - **Developed by:** [dev00](https://apify.com/dev00) (community) - **Categories:** Other - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 haveibeenpwned data breach searches 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 ## HaveIBeenPwned / Data Breach Search Actor Check if an email address has been exposed in historical data breaches, credential leaks, and public dumps. Searches over 10 billion records using a high-speed developer gateway while automatically filtering out brand logos and heavy metrics noise. --- ### 🔒 Features - **Extensive Historical Coverage:** Checks against underground hacking forums, combo lists, public paste sites, and large-scale platform breaches. - **Lightweight JSON:** Strips out brand logos, verbose analytics charts, and tracking variables to provide clean, structured data. - **Parsed Arrays:** Delimited exposure fields are parsed into JSON arrays (`xposed_data`) automatically. - **Billing Protection:** Safe-charging logic ensures you are only charged when the queried email is actually found in a data breach. --- ### 🛠️ Input Configuration The actor accepts a single email address: * `email` (String, Required): The target email address to scan (e.g. `jeff@amazon.com`). --- ### 📊 Output The actor outputs the full structured summary into the default Key-Value Store under the `OUTPUT` key, and pushes individual breach items into the default Dataset for easy exporting (Excel, CSV, JSON). #### Example Output Item in Dataset: ```json { "breach": "SocialEngineered", "details": "A data breach occurred at Social Engineered, a forum focused on social engineering and cybersecurity in 2019. The breach resulted in the exposure of user account information, including usernames, email addresses, and hashed passwords.", "domain": "socialengineered.net", "industry": "Miscellaneous", "password_risk": "easytocrack", "references": "https://www.zdnet.com/article/user-data-stolen-from-human-hacking-forum-social-engineered-published-on-rival-site/", "searchable": true, "verified": true, "xposed_data": [ "Usernames", "Phone numbers", "Private messages", "Email addresses", "IP addresses" ], "xposed_date": "2019", "xposed_records": 89409, "added": "2023-11-08T06:30:26+00:00" } ```` *** ### 💳 Pricing & Charging Policy This actor utilizes a **Pay-Per-Event (PPE)** pricing model: - **Price per breach search:** $0.005 per successful search. - **Fair Billing Guarantee:** You will **only** be charged for a run if the queried email is confirmed pwned (i.e. `exposed: true` and `breaches_count > 0`). If the email is safe and no breaches are found, the run is **100% free** (you are charged $0.00). # Actor input Schema ## `email` (type: `string`): The email address to check for exposures (e.g., jeff@amazon.com) ## `apiKey` (type: `string`): Optional XposedOrNot API key to bypass shared rate limits. Recommended for high-volume or production workloads. ## Actor input object example ```json { "email": "jeff@amazon.com" } ``` # Actor output Schema ## `results` (type: `string`): No description ## `keyValueStoreResult` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "email": "jeff@amazon.com" }; // Run the Actor and wait for it to finish const run = await client.actor("dev00/haveibeenpwned-data-breach-search-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "email": "jeff@amazon.com" } # Run the Actor and wait for it to finish run = client.actor("dev00/haveibeenpwned-data-breach-search-api").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 '{ "email": "jeff@amazon.com" }' | apify call dev00/haveibeenpwned-data-breach-search-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/haveibeenpwned-data-breach-search-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "HaveIBeenPwned / Data Breach Search API", "description": "A high-performance, developer-friendly email breach intelligence API. Query a massive database of over 10 billion leaked records, credential dumps, public pastes, and compromised accounts to immediately determine if an email address has been compromised in any known historical data breach.", "version": "1.0", "x-build-id": "TCxwcLbMbKmIfg486" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~haveibeenpwned-data-breach-search-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-haveibeenpwned-data-breach-search-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~haveibeenpwned-data-breach-search-api/runs": { "post": { "operationId": "runs-sync-dev00-haveibeenpwned-data-breach-search-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~haveibeenpwned-data-breach-search-api/run-sync": { "post": { "operationId": "run-sync-dev00-haveibeenpwned-data-breach-search-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "email" ], "properties": { "email": { "title": "Email Address", "type": "string", "description": "The email address to check for exposures (e.g., jeff@amazon.com)" }, "apiKey": { "title": "XposedOrNot API Key", "type": "string", "description": "Optional XposedOrNot API key to bypass shared rate limits. Recommended for high-volume or production workloads." } } }, "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 } } } } } } } } } } ```