# FDIC Bank Data Scraper (`copious_atoll/fdic-bank-data`) Actor

Extract FDIC bank financial data and failed banks list. Search by bank name, state, date range. Returns assets, deposits, net income, equity, ROA, ROE. Free FDIC API, no proxy needed.

- **URL**: https://apify.com/copious\_atoll/fdic-bank-data.md
- **Developed by:** [Grim R](https://apify.com/copious_atoll) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.

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

## FDIC Bank Data Scraper

Extract FDIC bank financial data and the complete failed banks list from the official FDIC BankFind API. Search by bank name, state, and date range. Returns structured financial metrics including total assets, deposits, net income, equity, return on assets (ROA), return on equity (ROE), and more.

> **Disclaimer:** This actor is unofficial and is not affiliated with, sponsored by, or endorsed by the Federal Deposit Insurance Corporation (FDIC).

### What FDIC bank data can you extract?

This actor wraps the free FDIC BankFind API to extract two types of data:

#### Bank financial data

Quarterly financial reports for every FDIC-insured bank in the United States. Key metrics include total assets, total deposits, net income, equity, return on assets, return on equity, net interest margin, number of employees, and regulatory details.

#### Failed banks list

The complete history of FDIC bank failures including failure date, bank name, city, state, estimated cost, total assets and deposits at failure, acquiring institution, resolution type, and charter class.

### Input parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| Search Mode | select | `financials` for bank financial data or `failures` for the failed banks list |
| Bank Name | string | Filter by bank name — case-insensitive substring match (e.g., "Chase", "Wells Fargo") |
| State | string | Two-letter US state code (CA, NY, TX) to filter by headquarters location |
| Date From | string | Start date filter in YYYY-MM-DD format |
| Max Results | integer | Maximum number of records to return (1–1,000, default 50) |

### Output example

Each record in the financial data output contains:

```json
{
    "bankName": "ERGO BANK",
    "bankNameFull": "ERGO BANK",
    "cert": 10004,
    "reportDate": "20251231",
    "totalAssets": 261034,
    "totalDeposits": 219626,
    "netIncome": 1614,
    "equity": 25905,
    "returnOnAssets": 0.64,
    "returnOnEquity": 6.55,
    "netInterestMargin": 3.14,
    "numEmployees": 85,
    "city": "MARKESAN",
    "state": "WI",
    "bankClass": "NM",
    "regulatoryAgency": "FDIC",
    "source": "FDIC BankFind API",
    "sourceUrl": "https://banks.data.fdic.gov/api/financials"
}
```

Failed bank records include failure date, estimated cost, acquiring institution, and resolution details.

### How much does it cost to scrape FDIC bank data?

This actor uses **pay-per-event pricing**. You pay per bank result returned.

- **$0.00005 per actor start** (Apify default)
- **Per-result charge** based on the number of bank records extracted
- **No proxy costs** -- the FDIC BankFind API is free and public, no proxy needed

A typical search for one state returns 50-200 bank records at minimal cost. The failed banks list contains around 4,000 historical records total.

**Tip:** Set the `maxResults` parameter to control costs. Start with 50 results and increase as needed.

### Who uses FDIC bank financial data?

- **Fintech developers** -- build bank comparison tools, financial dashboards, and lending analytics platforms
- **Banking analysts** -- compare bank performance metrics across institutions and regions
- **Compliance teams** -- monitor bank financial health for counterparty risk assessment
- **Investors** -- screen community banks by financial performance for acquisition targets
- **Journalists** -- investigate bank failures, track troubled institutions, and report on banking trends
- **Researchers** -- study banking industry concentration, failure patterns, and regional economic health

### Tips for best results

- **Use state filters** to narrow results efficiently -- the FDIC database has 1.6M+ financial records across all banks and reporting periods.
- **Bank names are abbreviated** in the FDIC system (e.g., "JPMORGAN CHASE BK" instead of "JPMorgan Chase Bank"). The actor does substring matching so partial names work.
- **Financial amounts are in thousands** of dollars as reported by the FDIC.
- **Report dates** are quarterly (March 31, June 30, September 30, December 31).

### Integrations

Export your data as JSON, CSV, or Excel. Schedule runs to monitor bank financials quarterly. Use webhooks to trigger alerts when new failure data appears.

This actor works as an **MCP server** -- AI agents can discover and use it to access FDIC bank data programmatically.

# Actor input Schema

## `searchMode` (type: `string`):

Choose what to search: 'financials' for bank financial data (assets, deposits, income) or 'failures' for the FDIC failed banks list.

## `bankName` (type: `string`):

Filter by bank name (case-insensitive substring match). For financials mode, the FDIC uses abbreviated names (e.g., 'JPMORGAN CHASE BK'). Leave empty to get all banks matching other filters.

## `state` (type: `string`):

Filter by US state abbreviation (e.g., CA, NY, TX, IL). Leave empty for all states.

## `dateFrom` (type: `string`):

Start date filter (YYYY-MM-DD). For financials, filters by report date. For failures, filters by failure date.

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

Maximum number of records to return.

## Actor input object example

```json
{
  "searchMode": "financials",
  "bankName": "Chase",
  "maxResults": 50
}
```

# 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 = {
    "searchMode": "financials",
    "bankName": "Chase",
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("copious_atoll/fdic-bank-data").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 = {
    "searchMode": "financials",
    "bankName": "Chase",
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("copious_atoll/fdic-bank-data").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 '{
  "searchMode": "financials",
  "bankName": "Chase",
  "maxResults": 50
}' |
apify call copious_atoll/fdic-bank-data --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,copious_atoll/fdic-bank-data"
        }
    }
}

```

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/mfCHrfTyayK8U3qq4/builds/hiGhalk0pdtxb7zTv/openapi.json