# SEC EDGAR Full-Text Search Scraper (`scrapers_lat/sec-edgar-fulltext-scraper`) Actor
Search the full text of SEC EDGAR filings by keyword or phrase. Get matching filings with entity name, CIK, form, filing date, accession number and a direct document link.
- **URL**: https://apify.com/scrapers\_lat/sec-edgar-fulltext-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Automation, Developer tools
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
from $8.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
[](https://console.apify.com/actors/387tloX9pwqzzrLzN/input)
## SEC EDGAR Full-Text Search Scraper
> Search the full text of SEC EDGAR filings by keyword or phrase and get every matching filing, covering documents filed with the United States Securities and Exchange Commission since 2001.
18 fields per record
United States coverage
JSON / CSV / Excel output formats
Updated 2026-06-22
### What you get
Each record is one filing that matches your search, with the metadata you need to identify the filer and open the document, ready to load into any database, spreadsheet, or research pipeline:
- **entityName**: name of the company or person that filed
- **ticker**: stock ticker symbol, when the filer is in the SEC ticker directory
- **cik**: ten digit SEC Central Index Key for the filer
- **form**: filing form type of the matched document, such as 10-K or 10-K/A
- **rootForm**: base form family the document belongs to, such as 10-K
- **filedAt**: date the filing was filed
- **periodEnding**: period the filing covers, when reported
- **accessionNo**: unique SEC accession number for the filing
- **fileType**: document type within the filing
- **fileName**: file name of the matched document
- **score**: relevance score the EDGAR search assigned to the hit
- **sic**: SEC industry classification code for the filer
- **location**: business location of the filer
- **incState**: state or country of incorporation
- **url**: direct link to the matched document on sec.gov
- **filingUrl**: link to the full filing index page on EDGAR
- **observedAt**: when this hit was last seen by the scraper
### Who is it for
| Use case | Who benefits |
|---|---|
| Theme research | Analysts finding every company that mentions a topic in filings |
| Risk and litigation search | Legal teams locating filings that reference a term or party |
| Competitive intelligence | Strategy teams tracking how rivals describe a market |
| Lead discovery | Researchers building lists of filers by keyword and form |
| Data pipelines | Developers feeding matched filings into research tools |
### Frequently Asked Questions
**What can I search for?**
Any word or phrase that appears in the text of a filing. Wrap a phrase in double quotes for an exact match, for example "artificial intelligence", or pass plain words to match them anywhere in the document.
**Which filings are covered?**
The SEC full-text search index covers filings from 2001 onward. You can narrow a search to specific form types, such as only 10-K, and to a filing date range, so you only get the documents you care about.
**How many results can I get per run?**
You set the limit with Max Items. The SEC full-text index returns up to 10,000 matching hits for a single query, served ten at a time, so very broad searches are best narrowed with a phrase, form type, or date range.
**Can I open the actual filing?**
Yes. Every record includes a url that opens the matched document on sec.gov and a filingUrl that opens the full filing index, so you can go straight from a hit to the source.
**What happens when a filer has no ticker?**
Many filers are private parties or funds that are not in the ticker directory. For those the ticker field is empty while the entity name, CIK and links are still populated.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Search 10-K Filings Mentioning AI](https://apify.com/scrapers_lat/sec-edgar-fulltext-scraper/examples/sec-fulltext-ai-annual-reports): Full-text search SEC EDGAR for 10-K filings mentioning artificial intelligence. Get company, form type, filing date and links for research.
- [Find Cybersecurity Risk Disclosures](https://apify.com/scrapers_lat/sec-edgar-fulltext-scraper/examples/sec-fulltext-cybersecurity-risk): Full-text search SEC EDGAR for filings disclosing cybersecurity risk. Get company, form type, filing date and document links for risk research.
- [Find Supply Chain Risk Disclosures](https://apify.com/scrapers_lat/sec-edgar-fulltext-scraper/examples/sec-fulltext-supply-chain-risk): Full-text search SEC EDGAR for filings disclosing supply chain risk. Get company, form type, filing date and document links for risk research.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [SEC EDGAR Company Filings Scraper](https://apify.com/scrapers_lat/sec-edgar-filings-scraper): Scrape SEC EDGAR company filings by ticker or CIK. Get form type, filing date, accession number...
- [USAspending Federal Award Scraper](https://apify.com/scrapers_lat/usaspending-awards-scraper): Scrape US federal prime awards from USAspending.gov. Get recipient, UEI, award amount, awarding...
- [openFDA Drug Events & Recalls Scraper](https://apify.com/scrapers_lat/openfda-drug-events-scraper): Scrape FDA drug adverse event reports (FAERS) and drug recall and enforcement actions from the...
- [OFAC Sanctions List Scraper](https://apify.com/scrapers_lat/ofac-sanctions-scraper): Download and parse the US Treasury OFAC SDN and Consolidated sanctions lists. Get each sanctioned...
- [Grants.gov Opportunity Scraper](https://apify.com/scrapers_lat/grants-gov-scraper): Extract U.S. federal grant opportunities from the official Grants.gov API. Scrape title, agency...
- [Federal Register Document Scraper](https://apify.com/scrapers_lat/federal-register-scraper): Search and extract documents from the U.S. Federal Register by keyword, document type, agency and...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with the U.S. Securities and Exchange Commission. It only accesses data that is publicly available through the EDGAR open data APIs. Use it in accordance with the SEC EDGAR access terms.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of matching filing hits to collect. The SEC full-text index returns at most 10000 hits per query. Optional.
## `query` (type: `string`):
Words or phrase to search for in filing text. Wrap a phrase in double quotes for an exact match, for example "artificial intelligence".
## `forms` (type: `array`):
Limit results to these form types, for example 10-K, 8-K, S-1. Leave empty to search all forms.
## `dateFrom` (type: `string`):
Only return filings filed on or after this date (YYYY-MM-DD).
## `dateTo` (type: `string`):
Only return filings filed on or before this date (YYYY-MM-DD).
## Actor input object example
```json
{
"maxItems": 50,
"query": "artificial intelligence",
"forms": [
"10-K"
]
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 50,
"query": "artificial intelligence",
"forms": [
"10-K"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/sec-edgar-fulltext-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 50,
"query": "artificial intelligence",
"forms": ["10-K"],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/sec-edgar-fulltext-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 '{
"maxItems": 50,
"query": "artificial intelligence",
"forms": [
"10-K"
]
}' |
apify call scrapers_lat/sec-edgar-fulltext-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/sec-edgar-fulltext-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "SEC EDGAR Full-Text Search Scraper",
"description": "Search the full text of SEC EDGAR filings by keyword or phrase. Get matching filings with entity name, CIK, form, filing date, accession number and a direct document link.",
"version": "0.1",
"x-build-id": "Is8zwikPq3MjC9EAz"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~sec-edgar-fulltext-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-sec-edgar-fulltext-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~sec-edgar-fulltext-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-sec-edgar-fulltext-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~sec-edgar-fulltext-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-sec-edgar-fulltext-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"query"
],
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 10000,
"type": "integer",
"description": "Maximum number of matching filing hits to collect. The SEC full-text index returns at most 10000 hits per query. Optional."
},
"query": {
"title": "Search Query",
"type": "string",
"description": "Words or phrase to search for in filing text. Wrap a phrase in double quotes for an exact match, for example \"artificial intelligence\"."
},
"forms": {
"title": "Form Types",
"type": "array",
"description": "Limit results to these form types, for example 10-K, 8-K, S-1. Leave empty to search all forms.",
"items": {
"type": "string"
}
},
"dateFrom": {
"title": "Date From",
"type": "string",
"description": "Only return filings filed on or after this date (YYYY-MM-DD)."
},
"dateTo": {
"title": "Date To",
"type": "string",
"description": "Only return filings filed on or before this date (YYYY-MM-DD)."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```