SEC EDGAR Current Filings Scraper

SEC EDGAR Current Filings Scraper

Scrape the SEC EDGAR current filings feed for 10-K, 10-Q, 8-K, and any other form type, up to a million per run. Each filing comes with its accession number, filing date, company name, CIK, and direct link to the full document. No API key or registration required.

The SEC EDGAR system publishes every corporate filing, but the RSS feed is raw XML and the full-text search API is rate-limited and complex. This Actor reads the live current filings feed directly, filters it by form type as it reads, and returns a clean, flat dataset of the latest submissions. You get the exact filings you need without parsing XML or building a crawler.

Who uses it	What they scrape SEC EDGAR for
Financial analysts	Monitor new 10-K and 10-Q filings for a watchlist of public companies.
Investor relations teams	Track competitor 8-K filings for material events and disclosures.
Data vendors	Build a real-time feed of all EDGAR submissions for downstream processing.
Academic researchers	Collect a corpus of specific form types for textual analysis or event studies.

What it does

This Actor collects filings from the SEC EDGAR current feed, filtered by form type, and returns each one as a flat row with its core metadata.

• 📋 Form type filter: target a single form like 10-K, 10-Q, 4, or 13F-HR, or leave it empty to collect every filing.
• 🔢 Configurable volume: set a hard limit from 1 to 1,000,000 filings per run so you control the dataset size.
• 🔗 Direct document links: every record includes the full URL to the filing on sec.gov for immediate access.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with SEC EDGAR data

📈 Monitor quarterly and annual reports.

A hedge fund analyst runs the Actor daily with formType set to 10-K and 10-Q to catch new filings from companies in their coverage universe.

🚨 Track material events in real time.

An investor relations consultant filters for 8-K filings to alert clients the moment a competitor discloses a major acquisition or executive change.

📊 Build a compliance dataset.

A regtech firm collects all 13F-HR filings each quarter to analyze institutional holdings across the entire market.

🔍 Gather insider trading signals.

A quantitative researcher scrapes Form 4 filings to build a dataset of insider buys and sells for a predictive model.

Why choose this scraper

	What you get
No XML parsing	The Actor handles the raw feed and returns structured JSON, CSV, Excel, or XML.
No API key	Reads the public EDGAR feed directly with no registration or authentication.
Fixed schema	Every filing returns the same fields so your pipeline never breaks on a new form type.

How it compares

No other Store actor targets SEC EDGAR the same way, so the honest comparison is with the alternatives teams actually weigh.

	SEC EDGAR Current Filings Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When SEC EDGAR changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor with a form type filter and a maximum item count, and filtering runs as each filing is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "formType": "10-K",
 "maxItems": 10
}

A larger pull:

{
 "formType": "10-K",
 "maxItems": 200
}

Pricing

Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.85
1,000 results	$8.50
10,000 results	$85.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the SEC EDGAR Current Filings Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to SEC EDGAR through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/sec-edgar-current-feed-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check your form type filter. It must match the exact EDGAR form type string, such as '10-K' not '10K'. Also, the feed only contains recent filings, so if no matching forms have been filed since the last run, the dataset will be empty.

Why did I get fewer results than my maxItems setting?

The Actor stops when it has read all available filings in the current feed. If the feed contains fewer filings than your limit, you will receive all of them.

The run timed out. What should I do?

The feed is large. Try reducing your maxItems or running the Actor more frequently with a smaller limit. You can also increase the run timeout in the Actor's advanced settings.

Some filings are missing fields in the output.

The SEC feed schema is consistent, but occasionally a filing may have a missing optional field. Check the raw feed entry if a specific field is blank.

Can I get the filing body text instead of a link?

This Actor returns the metadata and a link to the full document. To extract the text, you would need a separate Actor or integration that downloads and parses the linked HTML or text file.

FAQ

Question	Answer
What is the SEC EDGAR current filings feed?	It is the SEC's real-time RSS feed of every filing submitted to EDGAR, updated as new documents are accepted. It includes the filing metadata and a link to the full document.
Which form types can I filter?	You can filter by any EDGAR form type string, such as 10-K, 10-Q, 8-K, 4, 13F-HR, S-1, or 6-K. Leave the field empty to collect all form types.
Does this Actor download the full filing documents?	No, it returns the metadata for each filing, including a direct URL to the complete filing on sec.gov. You can use that link to download the document separately.
How many filings can I get in one run?	You can set the maximum from 1 up to 1,000,000 filings. The feed itself contains the most recent submissions, so the actual number available depends on the current feed contents.
Do I need an API key or EDGAR account?	No. This Actor reads the public, unauthenticated RSS feed, so no registration, API key, or EDGAR account is required.
How often is the feed updated?	The SEC updates the feed continuously as new filings are accepted. You can schedule this Actor to run every few minutes to capture filings near real-time.
What output formats are supported?	You can export your dataset to JSON, CSV, Excel, or XML directly from the Apify platform.
Can I filter by company name or CIK?	The input schema supports filtering by form type only. To filter by company, collect all filings and filter the resulting dataset by the company name or CIK field.
Is this the same as the SEC EDGAR full-text search API?	No, this Actor reads the current filings RSS feed, which lists recent submissions. The full-text search API is a different endpoint for historical and keyword-based searches.
Can I get historical filings with this Actor?	The current feed contains only recent submissions. For historical filings, you would need a different approach, such as the SEC's bulk data archives or full-text search.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by U.S. Securities and Exchange Commission. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.