# HaveIBeenPwned / Data Breach Search API (`dev00/haveibeenpwned-data-breach-search`) Actor

Check if an email address has been exposed in historical data breaches and public credential leaks.

- **URL**: https://apify.com/dev00/haveibeenpwned-data-breach-search.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** Other
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 email data breach lookups

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 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

## 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.
- **Fast Execution:** Returns parsed results within seconds, ideal for integration with SOC workflows.

***

### 🛠️ 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 search:** $0.005 per query.
- Charges are applied for every successful run executed, regardless of whether breaches are found.

# Actor input Schema

## `email` (type: `string`):

The email address to check for exposures (e.g., jeff@amazon.com)

## 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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").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 = { "email": "jeff@amazon.com" }

# Run the Actor and wait for it to finish
run = client.actor("dev00/haveibeenpwned-data-breach-search").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 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dev00/haveibeenpwned-data-breach-search",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/TOfTWcEFizfRidMt3/builds/EJCx0DT8Sry4tJbZy/openapi.json