# FDIC Bank Financial Data Scraper (`parseforge/fdic-bank-scraper`) Actor Extract US bank data from FDIC BankFind API. Get financial statements, branch locations, bank failures, and institution details for 27,000+ FDIC-insured banks. 126+ fields including assets, deposits, loans, capital ratios, ROA/ROE, and regulatory data. No proxy needed. - **URL**: https://apify.com/parseforge/fdic-bank-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Lead generation, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 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/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 ![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg) ## FDIC Bank Financial Data Scraper Whether you're a financial analyst researching US banking institutions, an investor evaluating bank performance, or a compliance team tracking regulatory data, this tool gives you structured access to the FDIC BankFind database covering 27,000+ active banks and over 1.6 million financial records. > **The FDIC Bank Scraper extracts financial institution data from the FDIC BankFind API. Six endpoints cover institutions, financials, locations, failures, history, and summaries. Get 92+ fields per bank including assets, deposits, equity, ROA, ROE, employee counts, addresses, and coordinates.** ### What Does It Do - 🏦 Institutions - 27,000+ US banks with charter info, addresses, websites, and regulatory details - 📊 Financials - 1.6M+ quarterly reports with assets, deposits, equity, ROA, ROE, and more - 📍 Locations - 78,000+ branch offices with addresses, coordinates, and service types - 💥 Failures - 4,000+ bank failures since 1934 with acquiring institution and loss data - 📜 History - 580,000+ historical records tracking mergers, name changes, and charter events - 📈 Summaries - aggregate industry statistics by state, charter type, and time period ### Input - **Endpoint** - select which FDIC dataset to query (institutions, financials, locations, failures, history, summaries) - **State** - filter by US state using 2-letter code (e.g., 'CA', 'TX', 'NY') - **Cert Number** - FDIC certificate number to look up a specific bank - **Report Date** - filter financial data by reporting period - **Max Items** - how many records to collect (free users get 10, paid up to 1,000,000) ```json { "endpoint": "institutions", "state": "CA", "maxItems": 100 } ```` ### Output Each record includes detailed financial and institutional data. Download as JSON, CSV, or Excel. | Field | Description | |-------|-------------| | 🏦 NAME | Bank or institution name | | 🔢 CERT | FDIC certificate number | | 🏙️ CITY | Headquarters city | | 📍 STALP | State code | | 💰 ASSET | Total assets in thousands | | 💵 DEP | Total deposits in thousands | | 📊 EQ | Total equity capital in thousands | | 📈 ROA | Return on assets percentage | | 📉 ROE | Return on equity percentage | | 👥 NUMEMP | Number of employees | | 🌐 WEBADDR | Bank website URL | | 🕐 scrapedAt | Timestamp of data collection | ```json { "NAME": "Pacific Premier Bank", "CERT": "32398", "CITY": "Irvine", "STALP": "CA", "ASSET": 20546789, "DEP": 16234567, "EQ": 2345678, "ROA": 1.2, "ROE": 12.5, "NUMEMP": 1823, "WEBADDR": "https://www.ppbi.com", "scrapedAt": "2026-04-08T17:16:04.520Z" } ``` ### Why Choose the FDIC Bank Scraper? | Feature | Our Tool | Manual FDIC Search | |---------|----------|--------------------| | Batch collection | Thousands of banks at once | Browse one at a time | | Financial metrics | 92+ fields per bank | Limited display fields | | 6 endpoints | Institutions, financials, locations, failures, history, summaries | Navigate each separately | | Structured output | JSON, CSV, Excel | HTML pages | | State filtering | All 50 states | Search one at a time | | Historical data | 580K+ records | Manual lookups | ### How to Use 1. **Sign Up** - [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. **Configure** - select your endpoint, state filter, and optional cert number or report date 3. **Run It** - click "Start" and get bank financial data in minutes ### Business Use Cases - Financial analysts - build comprehensive databases of US bank performance metrics and balance sheets - Investors - screen banks by assets, ROA, ROE, and equity for investment research - Compliance teams - track bank regulatory status, charter changes, and failure history - Researchers - analyze banking industry trends by state, size, and charter type - Insurance companies - evaluate bank financial health for risk assessment ### FAQ **What endpoints are available?** Six endpoints: institutions (bank profiles), financials (quarterly reports), locations (branch offices), failures (failed banks), history (mergers and changes), and summaries (aggregate stats). **How do I look up a specific bank?** Use the cert number field. Every FDIC-insured bank has a unique certificate number you can find on the FDIC website. **How current is the financial data?** The FDIC updates financial data quarterly. The most recent reporting period is typically available within 60 days of quarter end. **Can I get data for all 50 states?** Yes. Leave the state field empty to collect data nationwide, or specify a state code to filter. **How many records can I collect?** Free users can collect up to 10 records per run. Paid users can collect up to 1,000,000 records. ### Integrate FDIC Bank Scraper with any app - [Make](https://docs.apify.com/platform/integrations/make) - Automate financial data pipelines - [Zapier](https://docs.apify.com/platform/integrations/zapier) - Push bank data to your CRM - [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export to spreadsheets - [Slack](https://docs.apify.com/platform/integrations/slack) - Notify your team of new data ### Recommended Actors | Actor | Description | Link | |-------|-------------|------| | BizBuySell Scraper | Business-for-sale listings and market data | [Link](https://apify.com/parseforge/bizbuysell-scraper-pay-per-event) | | FINRA BrokerCheck Scraper | Financial professional and firm lookup data | [Link](https://apify.com/parseforge/finra-brokercheck-scraper) | | LoopNet Business Listings Scraper | Commercial real estate and business property data | [Link](https://apify.com/parseforge/loopnet-scraper) | | Flippa Scraper | Online business and website marketplace data | [Link](https://apify.com/parseforge/flippa-scraper) | | DealStream Scraper | Business acquisition and investment opportunity data | [Link](https://apify.com/parseforge/dealstream-scraper) | **Pro Tip:** Browse our complete collection of [data collection actors](https://apify.com/parseforge) to find the perfect tool for your needs. ### Need Help? - Check the FAQ section above - Visit [Apify documentation](https://docs.apify.com) - Contact us at [Tally contact form](https://tally.so/r/BzdKgA) ### Disclaimer > This Actor is an independent tool and is not affiliated with, endorsed by, or connected to the Federal Deposit Insurance Corporation (FDIC). It accesses only publicly available data from the FDIC BankFind API. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 records (preview). Paid users: Optional, max 1,000,000 ## `endpoint` (type: `string`): Which FDIC dataset to query. ## `state` (type: `string`): Filter by US state (2-letter code, e.g. CA, NY, TX). Leave empty for all states. ## `certNumber` (type: `string`): Filter by specific bank certificate number (e.g. 3510 for Bank of America). ## `reportDate` (type: `string`): Filter financial data by report date (YYYYMMDD format, e.g. 20240331 for Q1 2024). Only for financials endpoint. ## Actor input object example ```json { "maxItems": 10, "endpoint": "institutions" } ``` # Actor output Schema ## `overview` (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 = { "maxItems": 10, "endpoint": "institutions" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/fdic-bank-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "maxItems": 10, "endpoint": "institutions", } # Run the Actor and wait for it to finish run = client.actor("parseforge/fdic-bank-scraper").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 '{ "maxItems": 10, "endpoint": "institutions" }' | apify call parseforge/fdic-bank-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/fdic-bank-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDIC Bank Financial Data Scraper", "description": "Extract US bank data from FDIC BankFind API. Get financial statements, branch locations, bank failures, and institution details for 27,000+ FDIC-insured banks. 126+ fields including assets, deposits, loans, capital ratios, ROA/ROE, and regulatory data. No proxy needed.", "version": "1.0", "x-build-id": "oO66XajFHIcQ44oSM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~fdic-bank-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-fdic-bank-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~fdic-bank-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-fdic-bank-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~fdic-bank-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-fdic-bank-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 records (preview). Paid users: Optional, max 1,000,000" }, "endpoint": { "title": "Data Source", "enum": [ "institutions", "financials", "locations", "failures", "history", "summary" ], "type": "string", "description": "Which FDIC dataset to query." }, "state": { "title": "State", "type": "string", "description": "Filter by US state (2-letter code, e.g. CA, NY, TX). Leave empty for all states." }, "certNumber": { "title": "FDIC Certificate Number", "type": "string", "description": "Filter by specific bank certificate number (e.g. 3510 for Bank of America)." }, "reportDate": { "title": "Report Date", "type": "string", "description": "Filter financial data by report date (YYYYMMDD format, e.g. 20240331 for Q1 2024). Only for financials endpoint." } } }, "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 } } } } } } } } } } ```