How much does EDGAR Full-Text Search: AI Across SEC Filings cost?

$0.002 per item — $2 per 1,000. Billing is pay-per-result on your own Apify account: no subscription, and a run that returns nothing costs nothing.

What do I need to provide to run EDGAR Full-Text Search: AI Across SEC Filings?

Nothing is mandatory — every field has a working default. The settings you will usually change are Mode, Search query, Form types, Tickers or CIKs, Start date.

Do I need to code to use EDGAR Full-Text Search: AI Across SEC Filings?

No. It is a ready-to-run cloud tool: open it on Apify, fill in the form, click Run, and download the results. Everything runs on Apify's servers, so there is nothing to install or host.

EDGAR Full-Text Search: AI Across SEC Filings

Q: What data does EDGAR Full-Text Search: AI Across SEC Filings return?

A structured dataset with 10 fields per record, including accessionNumber, cik, companyName, description, filingDate, filingUrl, form, primaryDocument, reportDate, ticker. Export it as JSON, CSV or Excel, or send it straight to your app, a database or an AI agent.

Which companies mention artificial intelligence? Run a full-text search across EDGAR filings to find every 10-K and 8-K, with company and filing links.

$0.002 per item ($2 / 1,000)

Run this use case nowRun on Apify →

How it works

1
Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
2
Set the inputs
Adjust mode, query, forms (sensible defaults are pre-filled).
3
Click Run
The tool runs on Apify’s cloud and collects the data for you.
4
Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Pricing

$0.002 per item = $2 per 1,000

You are charged for	When	Price
Item returned	Charged per filing/result returned.	$0.002

Pay-per-event pricing: you are billed per result, not per subscription — a run that returns nothing costs nothing beyond the start fee. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-06-12, and they are what you are actually charged.

Inputs

Field	What it does	Type
`mode`	How to find filings. "search" runs an EDGAR full-text search across all filings using your query. "company" pulls a company's recent filing history by ticker or CIK.	string
`query`	Full-text query for "search" mode (e.g. "artificial intelligence"). Matched as a phrase across filing documents. Required when mode is "search"; ignored in "company" mode. Note: SEC's full-text index is sparse — "search" rows often have null ticker, reportDate, and description (see README). Use "company" mode for more complete records.	string
`forms`	Comma-separated SEC form types to filter by, e.g. "10-K,8-K". Leave empty for all forms. Applies to both modes.	string
`tickers`	For "company" mode: one or more stock tickers (e.g. AAPL, TSLA) or numeric CIKs. Each company's filing history is fetched. Ignored in "search" mode.	array
`startDate`	Only include filings filed on or after this date (YYYY-MM-DD). Optional.	string
`endDate`	Only include filings filed on or before this date (YYYY-MM-DD). Optional.	string
`maxItems`	Maximum number of filings to return across the WHOLE run (a total budget shared by all companies/queries, not a per-company cap). In "company" mode the run stops once this total is hit, so earlier tickers in the list can consume the budget before later ones. Full-text search itself caps at 10000 results.	integer
`notionConnector`	Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.	string
`notionParentId`	Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.	string

What you get

A structured dataset — each result includes fields like:

accessionNumbercikcompanyNamedescriptionfilingDatefilingUrlformprimaryDocumentreportDateticker

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

More use cases for SEC EDGAR Filings Scraper

Apple (AAPL) SEC Filings Scraper - EDGAR by Ticker

Apple's EDGAR filings pulled by ticker: every 10-K, 10-Q, and 8-K with filing date, accession number, and a direct link to each document.

Built on SEC EDGAR Filings Scraper — see every input, output field and price on the tool page.

Where this tool sits

Categories: News & Finance Data
Platforms: Finance & Markets