# SEC EDGAR Filing Search (Full-Text) (`preservable_mocha/sec-edgar-filing-search`) Actor

Full-text search of SEC EDGAR filings as clean, unified JSON: company, ticker, form type, date, CIK, filing link. Keyless official open data.

- **URL**: https://apify.com/preservable\_mocha/sec-edgar-filing-search.md
- **Developed by:** [Onur Hadzhaoglu](https://apify.com/preservable_mocha) (community)
- **Categories:** Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% 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.

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 Filing Search (Full-Text)

Full-text search across **SEC EDGAR** — the official U.S. securities filings database —
and get back **clean, unified JSON**: company name, ticker, form type, filing date, CIK,
location and a direct filing link. Filter by query, form type and date range.

No API key, no scraping. SEC's full-text search API is official and public (SEC only
requires a descriptive User-Agent). This actor normalizes the response into one flat,
predictable record per filing.

### What you get — one record per filing

```json
{
  "accession": "0001683168-20-000837",
  "companyName": "RadNet, Inc. (RDNT) (CIK 0000790526)",
  "cik": "790526",
  "form": "8-K",
  "fileDate": "2020-03-16",
  "fileDescription": "TRANSCRIPT OF CONFERENCE CALL",
  "location": "Los Angeles, CA",
  "sic": "8071",
  "items": ["8.01", "9.01"],
  "filingUrl": "https://www.sec.gov/Archives/edgar/data/790526/000168316820000837/0001683168-20-000837-index.htm",
  "source": "SEC EDGAR"
}
```

### Input

| Field | Type | Example | Meaning |
|-------|------|---------|---------|
| `query` | string | `"\"artificial intelligence\""` | Full-text query (quotes = exact phrase). |
| `forms` | string | `"8-K,10-K"` | Comma-separated form types. |
| `dateFrom` / `dateTo` | string | `"2026-01-01"` | Date range (YYYY-MM-DD). |
| `maxResults` | int | `50` | Max filings (1–100). |

### Who this is for

- **Investors / analysts** tracking disclosures by topic or company.
- **Fintech / research** products needing structured filing data.
- **Compliance / legal** monitoring form activity.
- **Journalists** searching filings full-text.

### Pricing

Billed per returned filing (pay-per-event). Set your price in the Apify Console.

### Legal

Uses only the **official, public** SEC EDGAR full-text search API, with a descriptive
User-Agent per SEC fair-access policy. No login-gated data, no scraping circumvention.

### Developer notes

The fetch + normalize core is in `src/sec_source.py` with **no Apify SDK dependency**:

```bash
python -m src.sec_source
```

# Actor input Schema

## `query` (type: `string`):

Full-text query. Use quotes for exact phrase, e.g. "artificial intelligence". Leave empty for all.

## `forms` (type: `string`):

Comma-separated SEC form types to filter, e.g. '8-K,10-K,10-Q'. Leave empty for all.

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

Only filings on/after this date.

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

Only filings on/before this date.

## `maxResults` (type: `integer`):

Maximum number of filings to return (1-100).

## Actor input object example

```json
{
  "query": "\"artificial intelligence\"",
  "forms": "8-K",
  "maxResults": 50
}
```

# Actor output Schema

## `filings` (type: `string`):

All matched SEC filings as JSON items in the default dataset.

# 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 = {
    "query": "\"artificial intelligence\"",
    "forms": "8-K",
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("preservable_mocha/sec-edgar-filing-search").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 = {
    "query": "\"artificial intelligence\"",
    "forms": "8-K",
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("preservable_mocha/sec-edgar-filing-search").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 '{
  "query": "\\"artificial intelligence\\"",
  "forms": "8-K",
  "maxResults": 50
}' |
apify call preservable_mocha/sec-edgar-filing-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,preservable_mocha/sec-edgar-filing-search"
        }
    }
}

```

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/vtLkYigukvOPpp40y/builds/Go0IktUyQiJuqC5Kv/openapi.json