# SEC EDGAR Company Fundamentals Scraper (`chrisp1211/sec-edgar-scraper-max`) Actor

Scrape SEC EDGAR filings and XBRL financial fundamentals for any US public company. Returns filings, financial statements, and key metrics by ticker or CIK. No API key. Pay per record; empty or failed runs cost nothing.

- **URL**: https://apify.com/chrisp1211/sec-edgar-scraper-max.md
- **Developed by:** [Christian Pichichero](https://apify.com/chrisp1211) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 records

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/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

## SEC EDGAR Company Fundamentals Scraper

**SEC EDGAR Company Fundamentals Scraper** — a fast, reliable sec edgar scraper that needs **no API key**. You pay only for the results you get: failed or empty runs are always free.

This sec edgar scraper runs on the [Apify platform](https://apify.com), so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets.

### What this scraper does

- Extracts structured **sec edgar** data with no browser or API key required
- Returns clean JSON, one record per result — ready for sheets, databases, or apps
- Pay-per-result pricing: you are never charged for a run that returns nothing
- Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks

### What data you get

Each result record includes fields such as:

- **Cik** (`cik`) — e.g. `320193`
- **Cik10** (`cik10`) — e.g. `"0000320193"`
- **Ticker** (`ticker`) — e.g. `"AAPL"`
- **Taxonomy** (`taxonomy`) — e.g. `"us-gaap"`
- **Tag** (`tag`) — e.g. `"Revenues"`
- **Label** (`label`) — e.g. `"Revenues"`
- **Unit** (`unit`) — e.g. `"USD"`
- **Value** (`value`) — e.g. `265595000000`
- **Fiscal Year** (`fiscalYear`) — e.g. `2018`
- **Fiscal Period** (`fiscalPeriod`) — e.g. `"FY"`
- **Form** (`form`) — e.g. `"10-K"`
- **Start Date** (`startDate`) — e.g. `"2017-10-01"`
- **End Date** (`endDate`) — e.g. `"2018-09-29"`
- **Filed Date** (`filedDate`) — e.g. `"2018-11-05"`
- **Frame** (`frame`) — e.g. `"CY2018"`

### Input

| Field | Type | Description |
|---|---|---|
| `tickers` | array | Stock ticker symbols to look up, e.g. AAPL, MSFT, NVDA. Resolved to a CIK via SEC's official ticker map. |
| `ciks` | array | SEC Central Index Keys, with or without zero-padding, e.g. 320193 or CIK0000320193. Use instead of / alongs... |
| `includeFilings` | boolean | Emit one record per recent filing (form, date, accession, primary document URL). |
| `includeFundamentals` | boolean | Emit clean XBRL fundamental data points (deduped across restatements) for the selected tags. |
| `fundamentalTags` | array | us-gaap / dei XBRL concept tags to extract, e.g. Revenues, NetIncomeLoss, Assets, StockholdersEquity. Defau... |
| `filingForms` | array | Only keep filings whose form matches one of these, e.g. 10-K, 10-Q, 8-K. Empty = all forms. |
| `maxFilings` | integer | Cap on recent filing records per company (default 50, max 1000). Set 0 to skip filings entirely. |
| `fromYear` | integer | Only keep filings and fundamentals from this calendar/fiscal year or later, e.g. 2020. |
| `userAgent` | string | Descriptive User-Agent SEC requires for automated access, e.g. "my-company-research you@example.com". A def... |

### Example output

```json
{
  "type": "fundamental",
  "cik": 320193,
  "cik10": "0000320193",
  "ticker": "AAPL",
  "taxonomy": "us-gaap",
  "tag": "Revenues",
  "label": "Revenues",
  "unit": "USD",
  "value": 265595000000,
  "fiscalYear": 2018,
  "fiscalPeriod": "FY",
  "form": "10-K",
  "startDate": "2017-10-01",
  "endDate": "2018-09-29",
  "filedDate": "2018-11-05",
  "frame": "CY2018",
  "accession": "0000320193-18-000145",
  "scrapedAt": "2026-07-10T00:00:00Z"
}
```

### Use cases

- Run market and competitor research
- Enrich due-diligence and financial analysis
- Feed dashboards and reporting pipelines
- Power fintech and investment tools

### Run it as a monitor (alerts on new sec edgar)

Schedule this sec edgar scraper to run automatically — hourly, daily, or on any cron schedule — with the built-in [Apify Scheduler](https://docs.apify.com/platform/schedules), and have results pushed to you by **webhook, email, Slack, or your own app** the moment they're ready. It's the easiest way to **monitor sec edgar for changes over time** and get alerted the instant something new appears — no manual runs. Because pricing is per result, a scheduled monitor only ever charges you for the data each run actually returns.

### Pricing

This actor uses **pay-per-result** pricing at **$0.0008 per record**. There is no monthly fee and no start fee — and **empty or failed runs cost $0**, so you only ever pay for data you actually receive.

### Frequently asked questions

**Do I need an API key or account for the source?** No. This sec edgar scraper works out of the box with no API key required.

**What happens if a run returns no results?** You are not charged. Billing is per result, so empty or failed runs are free.

**Can I run the sec edgar scraper on a schedule?** Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API.

**What export formats are supported?** Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API.

**Is the data structured?** Yes. Every sec edgar result is a clean, flat JSON record you can use immediately.

### Why choose this SEC EDGAR scraper

- **No API key, no proxy setup** — it works out of the box; you never manage keys or residential proxies.
- **Pay only for results** — pay-per-result pricing, no monthly subscription, and failed or empty runs are always free.
- **Reliable by design** — rotating premium proxies and automatic retries work around blocks so runs come back with data.
- **Export anywhere** — JSON, CSV, Excel, or Google Sheets, plus API, scheduler, and webhooks on the Apify platform.

If you are comparing SEC EDGAR scraper options or want a simpler, cheaper alternative to paid fundamentals APIs and manual EDGAR searches, this actor gives you clean data on demand — no setup, no lock-in.

### Popular use cases

- **Equity research** — pull company fundamentals and filings for analysis.
- **Fintech data pipelines** — feed models with structured XBRL financials.
- **Compliance & diligence** — track filings for companies you monitor.
- **Screening** — compare fundamentals across a universe of tickers.

### Related scrapers

Part of a connected toolkit — combine them for richer datasets:

- [USASpending GovCon Scraper](https://apify.com/chrisp1211/usaspending-scraper-max)

### Frequently asked questions

**How do I get company financials from SEC EDGAR?**

Enter a ticker or CIK and run — you get structured fundamentals from XBRL filings, exportable to CSV/Excel/Sheets or the API.

**Is the data official?**

Yes — it comes straight from the SEC's EDGAR system.

**Do I need an API key?**

No key or proxy setup needed.

**How much does it cost?**

You pay per record returned, no subscription. Empty runs are free.

# Actor input Schema

## `tickers` (type: `array`):

Stock ticker symbols to look up, e.g. AAPL, MSFT, NVDA. Resolved to a CIK via SEC's official ticker map.

## `ciks` (type: `array`):

SEC Central Index Keys, with or without zero-padding, e.g. 320193 or CIK0000320193. Use instead of / alongside tickers.

## `includeFilings` (type: `boolean`):

Emit one record per recent filing (form, date, accession, primary document URL).

## `includeFundamentals` (type: `boolean`):

Emit clean XBRL fundamental data points (deduped across restatements) for the selected tags.

## `fundamentalTags` (type: `array`):

us-gaap / dei XBRL concept tags to extract, e.g. Revenues, NetIncomeLoss, Assets, StockholdersEquity. Defaults to a core set when left empty.

## `filingForms` (type: `array`):

Only keep filings whose form matches one of these, e.g. 10-K, 10-Q, 8-K. Empty = all forms.

## `maxFilings` (type: `integer`):

Cap on recent filing records per company (default 50, max 1000). Set 0 to skip filings entirely.

## `fromYear` (type: `integer`):

Only keep filings and fundamentals from this calendar/fiscal year or later, e.g. 2020.

## `userAgent` (type: `string`):

Descriptive User-Agent SEC requires for automated access, e.g. "my-company-research you@example.com". A default is used if left blank.

## `maxCostUsd` (type: `integer`):

HARD budget cap. The run stops cleanly before exceeding this.

## `proxyConfiguration` (type: `object`):

SEC EDGAR is an open, automation-permitted API; no proxy needed. Default is fine.

## Actor input object example

```json
{
  "tickers": [
    "AAPL"
  ],
  "includeFilings": true,
  "includeFundamentals": true,
  "fundamentalTags": [
    "Revenues",
    "NetIncomeLoss",
    "Assets",
    "Liabilities",
    "StockholdersEquity",
    "CashAndCashEquivalentsAtCarryingValue",
    "OperatingIncomeLoss",
    "EarningsPerShareDiluted"
  ],
  "maxFilings": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "tickers": [
        "AAPL"
    ],
    "fundamentalTags": [
        "Revenues",
        "NetIncomeLoss",
        "Assets",
        "Liabilities",
        "StockholdersEquity",
        "CashAndCashEquivalentsAtCarryingValue",
        "OperatingIncomeLoss",
        "EarningsPerShareDiluted"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("chrisp1211/sec-edgar-scraper-max").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 = {
    "tickers": ["AAPL"],
    "fundamentalTags": [
        "Revenues",
        "NetIncomeLoss",
        "Assets",
        "Liabilities",
        "StockholdersEquity",
        "CashAndCashEquivalentsAtCarryingValue",
        "OperatingIncomeLoss",
        "EarningsPerShareDiluted",
    ],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("chrisp1211/sec-edgar-scraper-max").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 '{
  "tickers": [
    "AAPL"
  ],
  "fundamentalTags": [
    "Revenues",
    "NetIncomeLoss",
    "Assets",
    "Liabilities",
    "StockholdersEquity",
    "CashAndCashEquivalentsAtCarryingValue",
    "OperatingIncomeLoss",
    "EarningsPerShareDiluted"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call chrisp1211/sec-edgar-scraper-max --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=chrisp1211/sec-edgar-scraper-max",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/0UQc26TvxCM2XzOeI/builds/GfXyBfiElQxShGDJC/openapi.json