# SEC EDGAR Filings Scraper (`neuro-scraper/sec-edgar-filings-scraper`) Actor

SEC EDGAR Scraper SD - SEC EDGAR Scraper is a financial data tool that extracts SEC filings by ticker or CIK (10-K, 10-Q, 8-K, any form, full history), XBRL company facts and EDGAR full-text search results from the official free SEC APIs.

- **URL**: https://apify.com/neuro-scraper/sec-edgar-filings-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Categories:** Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 — filings, XBRL company facts and full-text search

The SEC EDGAR Scraper reads SEC's official, free EDGAR APIs: every filing of a company (10-K, 10-Q, 8-K, Form 4, S-1 ... back to 1994), every XBRL financial fact a company reported, and EDGAR full-text search hits with document links. No API key, no login.

SEC requires every automated client to declare who it is, so the input asks for your User-Agent ("Company Name email@company.com").

#### Input

| Field | Meaning |
|---|---|
| `mode` | `filings` (default), `companyFacts` or `fullTextSearch` |
| `companies` | Tickers (`AAPL`), CIKs (`320193`), EDGAR links or company names (`Tesla` - best EDGAR match, logged) |
| `searchQuery` | fullTextSearch phrase; quotes = exact phrase, e.g. `"supply chain disruption"` |
| `formTypes` | Keep only these forms, e.g. `10-K`, `8-K`, `4`; empty = all |
| `dateFrom`, `dateTo` | Filing date range (YYYY-MM-DD) |
| `xbrlConcepts` | companyFacts only: e.g. `NetIncomeLoss`, `Assets`; empty = all (~500 for Apple) |
| `userAgent` | Required by SEC: your company/name and contact email |
| `maxItems` | Rows per company (filings, facts) or per search (default 100) |

#### Output

| Mode | One row per | Main fields |
|---|---|---|
| filings | filing | companyName, cik, tickers, form, filingDate, reportDate, acceptanceDateTime, accessionNumber, items (8-K), isXBRL, documentUrl, filingIndexUrl |
| companyFacts | reported fact | concept, label, unit, value, periodStart, periodEnd, fiscalYear, fiscalPeriod, form, filed, frame, accessionNumber |
| fullTextSearch | filing (exhibits folded in) | companyName, tickers, cik, form, fileDate, periodEnding, fileDescription, documentUrl, businessLocation, stateOfIncorporation, sic |

#### Measured (2026-10-03, local, see TEST_REPORT.md)

- AAPL + MSFT filings: 200 rows in 4 s; all 30 Apple 10-Ks back to 1994 (older pages are read automatically).
- Full-text search: 250 filings in 5 s; 10,100 filings in 252 s by splitting the date range past EDGAR's 10,000-hit window.
- Company facts: 24 rows in 3 s for Tesla (found by name) and MSFT, newest period first.

#### Limits

- Full-text search covers 2001 onward (SEC); EDGAR returns at most 10,000 hits per query, so the Actor splits the date range; one day with more than 10,000 hits is cut at 10,000.
- Company facts exist only for filers that report XBRL financial data.
- SEC asks for at most 10 requests per second; the Actor sends about 1 per second.

#### Example

```json
{"mode": "filings", "companies": ["AAPL", "Tesla"], "formTypes": ["10-K", "8-K"], "dateFrom": "2024-01-01", "userAgent": "Acme Research data@acme.com", "maxItems": 50}
```

# Actor input Schema

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

filings = the company's filing list (submissions JSON, full history back to 1994); companyFacts = every XBRL financial fact the company reported (one row per fact); fullTextSearch = EDGAR full-text search (2001 onward) for a phrase.

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

Tickers (AAPL), CIK numbers (320193 or 0000320193), EDGAR company links, or company names (the best EDGAR name match is used and logged). Needed for filings and companyFacts; optional filter for fullTextSearch.

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

fullTextSearch only. Put a phrase in double quotes for an exact match, e.g. "supply chain disruption". Words without quotes must all appear.

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

Keep only these forms, e.g. 10-K, 10-Q, 8-K, 4, S-1, DEF 14A, D. Empty = every form. In companyFacts mode it filters by the form that reported the fact.

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

YYYY-MM-DD. Empty = no lower bound.

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

YYYY-MM-DD. Empty = today.

## `xbrlConcepts` (type: `array`):

companyFacts only: keep only these concepts, e.g. NetIncomeLoss, Assets, EarningsPerShareBasic, RevenueFromContractWithCustomerExcludingAssessedTax. Empty = all concepts (Apple has about 500).

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

SEC asks every automated client to identify itself with a company or person name and a contact email, e.g. "Acme Research LLC data@acme.com". Requests without a declared User-Agent are refused by SEC (HTTP 403). Replace the sample with your own.

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

Maximum rows per company in filings and companyFacts modes (newest first), or for the whole search in fullTextSearch mode.

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

SEC serves its APIs to any IP that declares a User-Agent; residential proxy is the default.

## Actor input object example

```json
{
  "mode": "filings",
  "companies": [
    "AAPL",
    "MSFT"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "xbrlConcepts": [
    "NetIncomeLoss",
    "Assets",
    "EarningsPerShareBasic"
  ],
  "userAgent": "Sample Company Name AdminContact@sample-company.com",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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",
        "MSFT"
    ],
    "formTypes": [
        "10-K",
        "10-Q",
        "8-K"
    ],
    "xbrlConcepts": [
        "NetIncomeLoss",
        "Assets",
        "EarningsPerShareBasic"
    ],
    "userAgent": "Sample Company Name AdminContact@sample-company.com",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/sec-edgar-filings-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",
        "MSFT",
    ],
    "formTypes": [
        "10-K",
        "10-Q",
        "8-K",
    ],
    "xbrlConcepts": [
        "NetIncomeLoss",
        "Assets",
        "EarningsPerShareBasic",
    ],
    "userAgent": "Sample Company Name AdminContact@sample-company.com",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/sec-edgar-filings-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",
    "MSFT"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "xbrlConcepts": [
    "NetIncomeLoss",
    "Assets",
    "EarningsPerShareBasic"
  ],
  "userAgent": "Sample Company Name AdminContact@sample-company.com",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call neuro-scraper/sec-edgar-filings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/sec-edgar-filings-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/vrC6NfrRSppzlNnrR/builds/6aAX9bJOtgWbLn2Ug/openapi.json