# FBI Wanted Scraper: Public Notices & Rewards (`naimurhasanrwd/fbi-wanted-scraper`) Actor

Pull public FBI Wanted and Seeking Information notices via the official FBI API: subject, field office, reward and publication date. No login, no proxy, no browser.

- **URL**: https://apify.com/naimurhasanrwd/fbi-wanted-scraper.md
- **Developed by:** [Naimur Hasan](https://apify.com/naimurhasanrwd) (community)
- **Stats:** 2 total users, 1 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/actors/running/actors-in-store.md#pay-per-usage

## 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 Scraper

Pulls public Wanted and Seeking Information notices from the FBI's official
public API. No login, no proxy, no browser.

### Input

| Field | Type | Notes |
|---|---|---|
| `titleContains` | string | Filter by notice title. Omit to walk the most recent notices. |
| `fieldOffice` | string | Filter by field office, lowercase, e.g. `baltimore`. Omit for all. |
| `maxItems` | integer | Cap on notices returned. Default `20`. |

### Output

One row per notice: `uid`, `title`, `description`, `subjects`,
`fieldOffices`, `personClassification`, `posterClassification`, `status`,
`rewardText`, `caution`, `nationality`, `publication`, `modified`,
`imageCount`, `url`.

### Notes

- This is the FBI's own published open data, intended for public
  redistribution; every record links back to its canonical fbi.gov page.
- Most fields are nullable and frequently null — a "Seeking Information"
  notice about a victim carries none of the physical description fields a
  wanted-fugitive notice does. That is the shape of the source, not a
  mapping gap.
- Descriptions embed literal `\r\n` runs; they are collapsed to single spaces
  so the text is usable in a table or CSV.
- `images` upstream is an array of image objects, reduced here to an
  `imageCount` — the full array is rarely wanted in a row.
- Two separate things make this endpoint 403 from Node, and both are handled:
  requests with no `User-Agent` are rejected outright (Node's `fetch` sends
  none by default, while curl does — which makes it easy to misdiagnose), and
  even with one set, the *first* request on a fresh connection is challenged
  and answered 403 before later requests succeed. Since every Actor run is a
  fresh container, that first-request 403 would otherwise fail every single
  run, so retryable statuses are retried with a short backoff.

# Actor input Schema

## `titleContains` (type: `string`):

Filter notices by title. Leave unset to walk the most recent notices.

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

Filter by FBI field office, lowercase, e.g. baltimore, newyork. Leave unset for all offices.

## `maxItems` (type: `integer`):

Cap on notices returned. The API pages 20 at a time and this Actor pages until the cap is met.

## Actor input object example

```json
{
  "maxItems": 20
}
```

# Actor output Schema

## `items` (type: `string`):

Every notice the run matched.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("naimurhasanrwd/fbi-wanted-scraper").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("naimurhasanrwd/fbi-wanted-scraper").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 '{}' |
apify call naimurhasanrwd/fbi-wanted-scraper --silent --output-dataset

```

## MCP server setup

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

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/8EeePSk6b8UKXb03S/builds/PAcIBazbayvCq4qka/openapi.json