# SEC EDGAR Scraper - Filings, Full-Text Search & Financials (`pipiagent/sec-edgar-scraper`) Actor

Get SEC EDGAR data without an API key: every filing of a company (10-K, 10-Q, 8-K, Form 4, S-1...), full-text search across all filings since 2001, the latest filings by form type, and quarterly or annual financials from XBRL. Clean JSON, CSV or Excel.

- **URL**: https://apify.com/pipiagent/sec-edgar-scraper.md
- **Developed by:** [Frank0306](https://apify.com/pipiagent) (community)
- **Categories:** Developer tools, Lead generation, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## SEC EDGAR Scraper

Get data from [SEC EDGAR](https://www.sec.gov/edgar), the US Securities and Exchange Commission's database of company filings, without an API key and without writing code. Three modes in one Actor:

- **Company filings.** Every filing of the companies you choose: 10-K, 10-Q, 8-K, Form 4 insider trades, S-1, proxy statements and more, with direct links to the documents. Back to the 1990s.
- **Full-text search.** Find filings that contain your words, across all companies, from 2001 on. Leave the words empty to get the latest filings of a form type, for example every new S-1 or 8-K.
- **Financials.** Revenue, gross profit, operating and net income, EPS, cash flow, assets, liabilities, equity, cash and debt per year or quarter, from the companies' XBRL data.

Use it for investment research, monitoring competitors and portfolio companies, finding IPOs and funding events, tracking insider trading, building financial datasets, and feeding filings to AI tools.

- **Official data.** Everything comes from the SEC's own public APIs, the same data that powers sec.gov.
- **Clean, flat records.** Tickers, CIK numbers, form types, dates, document links and 8-K item descriptions ("Results of Operations and Financial Condition") ready for spreadsheets.
- **Type a ticker, a CIK or a name.** AAPL, 320193 and "Apple" all work.
- **No API key, no login, no proxy.**
- **Low price.** $1 per 1,000 results.

### What data can you get?

#### Company filings

| Field | Example |
|---|---|
| `companyName`, `cik`, `tickers` | Tesla, Inc., 0001318605, \["TSLA"] |
| `formType` | 8-K |
| `filingDate`, `reportDate`, `acceptedAt` | 2026-10-21 |
| `accessionNumber` | 0001628280-26-066738 |
| `items`, `itemDescriptions` | 8-K items: \["2.02", "9.01"], \["Results of Operations and Financial Condition", ...] |
| `documentUrl`, `filingIndexUrl` | Links to the main document and to the list of all files of the filing |
| `description`, `sizeBytes`, `isXBRL`, `fileNumber` | |
| `exchanges`, `sic`, `sicDescription`, `stateOfIncorporation`, `fiscalYearEnd` | Company details |

#### Full-text search results

Company, CIK, form type, filing date, period, accession number, the document that matched (for example "EX-99.1" press release), links to the document and the filing, 8-K items, business location, state of incorporation and industry code. One result per filing.

#### Financials

One row per company and period: `period` (CY2025 or CY2026Q2), `periodStart`, `periodEnd`, `fiscalYear`, `fiscalPeriod`, `form`, `filedAt`, and the numbers `revenue`, `costOfRevenue`, `grossProfit`, `researchAndDevelopment`, `sellingGeneralAdministrative`, `operatingIncome`, `netIncome`, `epsBasic`, `epsDiluted`, `dilutedSharesOutstanding`, `operatingCashFlow`, `capitalExpenditure`, `totalAssets`, `totalLiabilities`, `stockholdersEquity`, `cashAndEquivalents`, `longTermDebt`. All amounts are in US dollars.

### How to use it

1. Click **Try for free**.
2. Choose a mode in **What to scrape**.
3. Add companies (tickers, CIKs or names), form types, search words or dates as needed.
4. Click **Start**, then download the results as JSON, CSV or Excel.

### Input examples

The latest 8-K filings of three companies:

```json
{
    "mode": "filings",
    "companies": ["AAPL", "TSLA", "Microsoft"],
    "formTypes": ["8-K"],
    "maxItemsPerQuery": 20
}
```

All Apple annual reports from 2005 to 2012:

```json
{
    "mode": "filings",
    "companies": ["AAPL"],
    "formTypes": ["10-K"],
    "dateFrom": "2005-01-01",
    "dateTo": "2012-12-31"
}
```

10-K reports filed this year that mention "artificial intelligence":

```json
{
    "mode": "search",
    "searchQuery": "\"artificial intelligence\"",
    "formTypes": ["10-K"],
    "dateFrom": "2026-01-01",
    "maxItems": 1000
}
```

Every S-1 (IPO registration) filed in the last 7 days, with no search words:

```json
{
    "mode": "search",
    "formTypes": ["S-1"]
}
```

Quarterly financials of Apple and NVIDIA:

```json
{
    "mode": "financials",
    "companies": ["AAPL", "NVDA"],
    "financialPeriod": "quarterly"
}
```

### Output examples

A filing:

```json
{
    "type": "filing",
    "companyName": "Tesla, Inc.",
    "cik": "0001318605",
    "tickers": ["TSLA"],
    "formType": "8-K",
    "filingDate": "2026-10-21",
    "reportDate": "2026-10-21",
    "acceptedAt": "2026-10-21T20:41:42Z",
    "accessionNumber": "0001628280-26-066738",
    "description": "8-K",
    "items": ["2.02", "9.01"],
    "itemDescriptions": ["Results of Operations and Financial Condition", "Financial Statements and Exhibits"],
    "documentUrl": "https://www.sec.gov/Archives/edgar/data/1318605/000162828026066738/tsla-20261021.htm",
    "filingIndexUrl": "https://www.sec.gov/Archives/edgar/data/1318605/000162828026066738/0001628280-26-066738-index.htm",
    "sizeBytes": 5568283,
    "isXBRL": true,
    "fileNumber": "001-34756",
    "exchanges": ["Nasdaq"],
    "sic": "3711",
    "sicDescription": "Motor Vehicles & Passenger Car Bodies",
    "stateOfIncorporation": "TX",
    "fiscalYearEnd": "1231",
    "scrapedAt": "2026-10-30T10:09:42Z"
}
```

A financial period:

```json
{
    "type": "financials",
    "companyName": "Apple Inc.",
    "cik": "0000320193",
    "tickers": ["AAPL"],
    "period": "CY2025",
    "periodType": "annual",
    "periodStart": "2024-09-29",
    "periodEnd": "2025-09-27",
    "fiscalYear": 2025,
    "fiscalPeriod": "FY",
    "form": "10-K",
    "currency": "USD",
    "revenue": 416161000000,
    "netIncome": 112010000000,
    "epsDiluted": 7.46,
    "operatingCashFlow": 111482000000,
    "totalAssets": 379297000000,
    "cashAndEquivalents": 45317000000
}
```

### How much does it cost?

You pay per saved result: **$1.00 per 1,000 results**. A filing, a search result and a financial period each count as one result. There is no start fee and no monthly rental.

| Run | Results | Cost |
|---|---|---|
| The last 100 filings of a company | 100 | $0.10 |
| 1,000 search results | 1,000 | $1.00 |
| 10 years of quarterly financials for 20 companies | about 800 | about $0.80 |

Set a maximum charge per run in the run options and the Actor stops when it is reached.

### Limits you should know

- **Full-text search covers 2001 onward** and returns at most 10,000 documents per search, ordered by relevance. Narrow the dates or form types to get everything. When several documents of one filing match, the filing is saved once.
- **Financials come from XBRL**, which US companies have filed since about 2009 to 2011. Funds, foreign private issuers filing 20-F and many very small companies have little or no XBRL data.
- **Periods are calendar periods.** The SEC aligns each number to the nearest calendar quarter or year (`period`), so Apple's fiscal Q3 2026 appears as CY2026Q2. `fiscalYear` and `fiscalPeriod` are the fiscal year and period of the report the number was taken from, so they can be a year or two later than the period itself (the SEC uses the latest report that states the number).
- **Fourth quarters are often missing** in quarterly mode, because most companies report the fourth quarter only inside the annual report. Use annual minus the first three quarters.
- **A number is empty when the company does not report it** under the standard name, for example banks have no gross profit. Some companies use their own custom tags.
- **Companies without a ticker** (private funds, some subsidiaries) need their CIK number. You can find it on the company's EDGAR page.
- **Document links point to sec.gov.** The Actor does not download the documents themselves.

### FAQ

**Is it legal?** Yes. EDGAR filings are public records published by the SEC, and the Actor uses the SEC's public APIs, identifies itself and stays below the SEC's fair access limit of 10 requests per second.

**Is this investment advice?** No. It only collects data the companies filed.

**Something is broken or missing?** Open a ticket in the Issues tab. Issues are usually answered within a day.

# Actor input Schema

## `mode` (type: `string`):

Company filings lists every filing of the companies you give. Full-text search finds filings that contain your words, or the latest filings of a form type when you leave the words empty. Financials returns income statement, balance sheet and cash flow numbers per year or quarter.

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

Tickers (AAPL), CIK numbers (320193) or company names (Microsoft). Needed for company filings and financials. Optional in full-text search, where it limits the search to these companies.

## `formTypes` (type: `array`):

Optional. Keep only these forms, for example 10-K, 10-Q, 8-K, 4, S-1, DEF 14A, 13F-HR, SC 13G. Leave empty for all forms.

## `searchQuery` (type: `string`):

Words to find inside filings. Put a phrase in double quotes for an exact match, for example "going concern" or "artificial intelligence". Leave empty to get the latest filings (of the chosen form types).

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

Optional. YYYY-MM-DD. Filing date for filings and search, period end date for financials.

## `dateTo` (type: `string`):

Optional. YYYY-MM-DD.

## `includeAmendments` (type: `boolean`):

With form types set, also keep their amendments (10-K/A for 10-K, and so on).

## `financialPeriod` (type: `string`):

For financials mode.

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

Maximum number of results to save in this run. You are only charged for saved results.

## `maxItemsPerQuery` (type: `integer`):

Optional. Limits results for each company (newest first), so one company does not use up the whole run. In full-text search mode it limits the whole search.

## Actor input object example

```json
{
  "mode": "filings",
  "companies": [
    "AAPL",
    "TSLA"
  ],
  "includeAmendments": true,
  "financialPeriod": "annual",
  "maxItems": 100
}
```

# Actor output Schema

## `results` (type: `string`):

Filings, search results or financial periods saved by the run.

# 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",
        "TSLA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pipiagent/sec-edgar-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",
        "TSLA",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("pipiagent/sec-edgar-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 '{
  "companies": [
    "AAPL",
    "TSLA"
  ]
}' |
apify call pipiagent/sec-edgar-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pipiagent/sec-edgar-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/DwCtfvGxuUpFY1fT9/builds/sFyKRXAtTxifaHMLd/openapi.json