# SEC XBRL Company Facts Scraper (`parseforge/sec-xbrl-company-facts-scraper`) Actor

Pull structured financial facts from SEC EDGAR by ticker or CIK number. Each row carries the company name, GAAP concept, reported value, unit, fiscal year and period, form type, and filing date. Useful for building fundamentals histories, equity research, and audit checks.

- **URL**: https://apify.com/parseforge/sec-xbrl-company-facts-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 89.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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/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

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 📊 SEC XBRL Company Facts Scraper

> 🚀 **Pull structured financial facts straight from SEC EDGAR in seconds.** One run on Apple returned 1,562 fact observations across 8 core concepts, each tagged with fiscal year, period, form, and filing date.

The SEC XBRL Company Facts Scraper reads the official structured financial data the U.S. Securities and Exchange Commission publishes for every public company that files in XBRL. Give it a list of tickers or CIK numbers, pick the financial concepts you care about, and it returns one clean row per reported fact observation. Each row carries the company name, the us-gaap concept, the reported value and unit, the fiscal year and period, the form type (10-K or 10-Q), and the exact date the figure was filed.

Coverage spans every company with XBRL filings in SEC EDGAR, more than 10,000 active tickers mapped to their CIK. Tickers are resolved to CIK automatically using the SEC company ticker map, so you can mix symbols like AAPL and MSFT with raw CIK numbers in the same run. Results are sorted newest first by filing date.

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Financial analysts and equity researchers | Building company financial time series |
| Fintech and data engineering teams | Feeding fundamentals into models and dashboards |
| Accountants and auditors | Cross-checking reported figures by filing |
| Investors and quants | Backtesting on revenue, net income, and EPS |

### 📋 What the SEC XBRL Company Facts Scraper does

This Actor calls the SEC EDGAR XBRL company facts endpoint for each company you request, then flattens the nested taxonomy into a tidy row per observation. It handles the mandatory SEC contact User-Agent header on every request, resolves tickers to CIK, filters by concept and form, and emits records ordered by filing date with the most recent figures first.

- Accepts tickers (AAPL) or CIK numbers (320193 or 0000320193).
- Pulls all reported us-gaap fact observations for each company.
- Filters to a default set of key metrics or any concepts you name.
- Returns value, unit, fiscal year, fiscal period, form, and filing date per fact.

### 📊 Data fields

Each record includes: `cik`, `concept`, `entityName`, `filed`, `fiscalPeriod`, `fiscalYear`, `form`, `frame`, `label`, `results`, `scrapedAt`, `unit`, `value`. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

### 🚀 How to use

1. Create a free Apify account using [this sign-up link](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the SEC XBRL Company Facts Scraper in the Apify Console.
3. Enter one or more tickers or CIK numbers in `companies`.
4. Optionally narrow the run with `concepts` and `forms`, and set `maxItems`.
5. Click Start, then download your results when the run finishes.

### 🔗 Recommended Actors

- [SEC Form 4 Scraper](https://apify.com/parseforge/sec-form4-scraper) — insider trading transactions from SEC Form 4 filings.
- [SEC 13F Holdings Scraper](https://apify.com/parseforge/sec-13f-holdings-scraper) — institutional investment manager holdings.
- [SEC Forms Scraper](https://apify.com/parseforge/sec-forms-scraper) — filing index and metadata across SEC form types.
- [FRED Scraper](https://apify.com/parseforge/fred-scraper) — economic time series from the Federal Reserve.
- [US Treasury Fiscal Data Scraper](https://apify.com/parseforge/us-treasury-fiscal-data-scraper) — federal fiscal and debt datasets.

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge).

> **⚠️ Disclaimer:** This is an independent tool, not affiliated with or endorsed by the U.S. Securities and Exchange Commission. Only publicly available data is collected.

### 🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our [contact form](https://tally.so/r/BzdKgA) or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our [Discord](https://parseforge.co/discord). It's the best place to get support and suggest new actors.

# Actor input Schema

## `companies` (type: `array`):

List of stock tickers (e.g. AAPL, MSFT) or SEC CIK numbers (e.g. 320193 or 0000320193). Tickers are resolved to CIK automatically via the SEC ticker map.

## `concepts` (type: `array`):

us-gaap concept names to include. Leave empty to use the default set of common financial concepts (revenue, net income, assets, liabilities, equity, cash, EPS).

## `forms` (type: `array`):

Filter observations by SEC form type (e.g. 10-K, 10-Q). Leave empty to include all forms.

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

How many company facts to collect per run.

## Actor input object example

```json
{
  "companies": [
    "AAPL"
  ],
  "concepts": [
    "Revenues",
    "RevenueFromContractWithCustomerExcludingAssessedTax",
    "NetIncomeLoss",
    "Assets",
    "Liabilities",
    "StockholdersEquity",
    "CashAndCashEquivalentsAtCarryingValue",
    "EarningsPerShareBasic"
  ],
  "forms": [],
  "maxItems": 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 = {
    "companies": [
        "AAPL"
    ],
    "concepts": [
        "Revenues",
        "RevenueFromContractWithCustomerExcludingAssessedTax",
        "NetIncomeLoss",
        "Assets",
        "Liabilities",
        "StockholdersEquity",
        "CashAndCashEquivalentsAtCarryingValue",
        "EarningsPerShareBasic"
    ],
    "forms": [],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/sec-xbrl-company-facts-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 = {
    "companies": ["AAPL"],
    "concepts": [
        "Revenues",
        "RevenueFromContractWithCustomerExcludingAssessedTax",
        "NetIncomeLoss",
        "Assets",
        "Liabilities",
        "StockholdersEquity",
        "CashAndCashEquivalentsAtCarryingValue",
        "EarningsPerShareBasic",
    ],
    "forms": [],
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/sec-xbrl-company-facts-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 '{
  "companies": [
    "AAPL"
  ],
  "concepts": [
    "Revenues",
    "RevenueFromContractWithCustomerExcludingAssessedTax",
    "NetIncomeLoss",
    "Assets",
    "Liabilities",
    "StockholdersEquity",
    "CashAndCashEquivalentsAtCarryingValue",
    "EarningsPerShareBasic"
  ],
  "forms": [],
  "maxItems": 10
}' |
apify call parseforge/sec-xbrl-company-facts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/sec-xbrl-company-facts-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/xDYVbnBIwsyZaxygA/builds/vLiywRJzAyhTkyEcV/openapi.json