# 🚨 FBI Wanted Intelligence - Fugitives & Rewards (`benthepythondev/fbi-wanted-intelligence`) Actor

Extract FBI wanted persons, fugitives, terrorists, and missing persons data. Get photos, physical descriptions, rewards, aliases, and case details. Includes Ten Most Wanted, cyber criminals, bank robbers, human trafficking suspects, and more.

- **URL**: https://apify.com/benthepythondev/fbi-wanted-intelligence.md
- **Developed by:** [Ben](https://apify.com/benthepythondev) (community)
- **Categories:** Agents, Other, News
- **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## 🚨 FBI Wanted Intelligence — Fugitives, Rewards & Most-Wanted Data

Extract **FBI wanted persons data** — fugitives, the Ten Most Wanted, terrorists,
missing and kidnapped persons, bank robbers, cyber criminals and more — as clean,
structured records. Each entry carries the subject's physical description, aliases,
reward amount, field offices, locations, mugshot image URLs, official poster PDFs and a
direct link to the case. Pull the full list, search by name, fetch the Ten Most Wanted,
filter by category, or scope to a single FBI field office. Built on the official FBI
Wanted API.
Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

### 🚨 What is the FBI Wanted Intelligence?

It turns the FBI's public Wanted database into a structured, queryable dataset. Choose a
mode — all wanted persons, a name search, the Ten Most Wanted, a category, or a specific
field office — optionally include captured subjects, cap the results, and it returns
every matching person with full case detail. Investigators, journalists, OSINT analysts
and safety platforms use it to monitor wanted persons without scraping fbi.gov by hand.

#### What data does it extract?

- **Identity** — `uid`, `title` (name), `aliases`, `subjects` and `description`
- **Case detail** — `caution`, `details`, `warning_message`, `person_classification` and `poster_classification`
- **Physical description** — `sex`, `race`, `hair`, `eyes`, `height_min`/`height_max`, `weight`, `build`, `complexion`, `scars_and_marks`, `age_range`
- **Background** — `place_of_birth`, `dates_of_birth_used`, `nationality`, `languages`, `occupations`
- **Reward** — `reward_min`, `reward_max` and `reward_text`
- **Location** — `field_offices`, `locations`, `possible_states`, `possible_countries` and `coordinates`
- **Media & links** — `image_urls` (mugshots), `file_urls` (poster PDFs), `url` and `status`

### ⬇️ Input

Pick a mode, then narrow with optional filters:

| Field | Description |
|-------|-------------|
| `mode` **(required)** | `all`, `search`, `ten_most_wanted`, `by_category`, or `by_field_office` |
| `searchQuery` | Name or keywords to search for (used in `search` mode) |
| `category` | Poster category, e.g. `default`, `ten`, `terrorist`, `kidnapping`, `cyber`, `human-trafficking` |
| `fieldOffice` | FBI field office, e.g. `newyork`, `losangeles`, `miami`, `chicago` |
| `includeCaptured` | Include persons already captured (default `false`) |
| `maxResults` | Cap the run (1–1000, default 10 for fast first runs and automated checks) |

#### Example input

```json
{
  "mode": "by_category",
  "category": "ten",
  "includeCaptured": false,
  "maxResults": 10
}
```

### ⬆️ Output

Every wanted person is one clean row (view as a **table**, or export **JSON / CSV / Excel**):

```json
{
  "uid": "f05cba69aa3244b6ad1b57d232cd5160",
  "title": "KASHAWN NICOLA ROPER",
  "description": "Unlawful Flight to Avoid Prosecution - Second Degree Murder",
  "caution": "KaShawn Nicola Roper is wanted for her alleged involvement in a shooting.",
  "warning_message": "SHOULD BE CONSIDERED ARMED AND DANGEROUS",
  "person_classification": "Main",
  "poster_classification": "ten",
  "subjects": ["Ten Most Wanted Fugitives"],
  "aliases": ["KaShawn Nicola Shaw", "KaShawn Nicole Roper"],
  "sex": "Female",
  "race": "black",
  "hair": "black",
  "eyes": "brown",
  "height_min": 65,
  "height_max": 65,
  "weight": "120 pounds",
  "age_range": "30 to 35 years old",
  "nationality": "American",
  "reward_min": 0,
  "reward_max": 100000,
  "reward_text": "The FBI is offering a reward of up to $100,000.",
  "field_offices": ["charlotte"],
  "possible_states": ["North Carolina"],
  "coordinates": [],
  "image_urls": ["https://www.fbi.gov/wanted/.../image.jpg"],
  "file_urls": ["https://www.fbi.gov/wanted/.../download.pdf"],
  "status": "na",
  "url": "https://www.fbi.gov/wanted/.../kashawn-nicola-roper",
  "scraped_at": "2026-06-27T15:30:00.000000+00:00"
}
```

### 💡 Use cases

- **🕵️ OSINT & investigations:** build a structured feed of fugitives, aliases and physical descriptions for intelligence and due-diligence work.
- **📰 Journalism & research:** analyze wanted-persons data across categories, rewards and field offices for stories and studies.
- **🔔 Safety & alerting:** monitor a category or field office and notify your team when new wanted persons are added.
- **🗺️ Mapping & dashboards:** plot subjects by field office, possible states and coordinates to visualize case geography.

### ❓ FAQ

**How do I get FBI wanted persons data?** Pick a `mode` — `all`, `search`,
`ten_most_wanted`, `by_category` or `by_field_office` — set any filters, then Run. You
get full records with descriptions, aliases, rewards, images and case links.

**Do I need an API key?** No. It uses the official, free FBI Wanted API — no key, token
or login required.

**Can I search for a specific person?** Yes — set `mode: search` and put the name or
keywords in `searchQuery`.

**What categories are available?** Many, including `ten` (Ten Most Wanted), `terrorist`,
`kidnapping`, `cyber`, `bank`, `white-collar`, `human-trafficking` and
`crimes-against-children`, among others — pass one in `category` with `by_category` mode.

**Can I filter by FBI field office?** Yes — set `mode: by_field_office` and a
`fieldOffice` such as `newyork`, `losangeles`, `miami` or `chicago`.

**Does it include mugshots and posters?** Yes — `image_urls` holds the subject photos and
`file_urls` holds the official wanted-poster PDFs.

**Can I include captured subjects?** By default they are skipped; set
`includeCaptured: true` to keep persons whose status is captured.

**How fresh is the data?** It is live. Every run queries the FBI Wanted API directly, so
you always get the current list.

**Can I run it on a schedule or via API?** Yes — schedule recurring runs in Apify, call
it via the API/SDK, or connect it to Make, Zapier or n8n.

**Is this legal?** The FBI Wanted database is public US government information. Use it
responsibly for research, journalism and safety, handle personal data in line with
applicable laws, and follow the source's terms.

### 🔗 You might also like

- **[Federal Register Intelligence](https://apify.com/benthepythondev/federal-register-intelligence)** — US federal regulations and rules
- **[SEC Filings Intelligence](https://apify.com/benthepythondev/sec-filings-intelligence)** — SEC EDGAR company filings
- **[Congress Intelligence](https://apify.com/benthepythondev/congress-intelligence)** — bills, votes and members of Congress
- **[Domain Intelligence Scraper](https://apify.com/benthepythondev/domain-intelligence-scraper)** — WHOIS, DNS and domain data

***

**Keywords:** FBI wanted scraper, FBI wanted API, most wanted fugitives, FBI ten most wanted, missing persons data, wanted persons scraper, OSINT data, fugitive intelligence, reward information, FBI field office data, criminal intelligence, due diligence data, government data API, terrorist watch data, human trafficking data.

# Actor input Schema

## `mode` (type: `string`):

How to collect FBI wanted data

## `searchQuery` (type: `string`):

Name or keywords to search for

## `category` (type: `string`):

Filter by poster classification category

## `fieldOffice` (type: `string`):

Filter by FBI field office location (e.g., 'newyork', 'losangeles', 'miami', 'chicago')

## `includeCaptured` (type: `boolean`):

Include persons who have been captured

## `maxResults` (type: `integer`):

Maximum number of wanted persons to return

## Actor input object example

```json
{
  "mode": "all",
  "searchQuery": "",
  "category": "default",
  "fieldOffice": "",
  "includeCaptured": false,
  "maxResults": 10
}
```

# Actor output Schema

## `results` (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 = {
    "mode": "all",
    "searchQuery": "",
    "category": "default",
    "fieldOffice": "",
    "includeCaptured": false,
    "maxResults": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("benthepythondev/fbi-wanted-intelligence").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 = {
    "mode": "all",
    "searchQuery": "",
    "category": "default",
    "fieldOffice": "",
    "includeCaptured": False,
    "maxResults": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("benthepythondev/fbi-wanted-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "mode": "all",
  "searchQuery": "",
  "category": "default",
  "fieldOffice": "",
  "includeCaptured": false,
  "maxResults": 10
}' |
apify call benthepythondev/fbi-wanted-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,benthepythondev/fbi-wanted-intelligence"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/pU7NNjr1MAOCQWCGL/builds/0OVaWvv73Rjg5c2l9/openapi.json