# SEC 13F Institutional Holdings Scraper (`scrapers_lat/sec-13f-holdings-scraper`) Actor
Scrape SEC Form 13F institutional holdings for any hedge fund or asset manager. For a manager name or CIK, get their latest quarterly filing with each equity position: issuer, CUSIP, market value in USD, shares, put/call, investment discretion and voting authority. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/sec-13f-holdings-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Developer tools, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.20 / 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 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 13F Institutional Holdings Scraper
> Track what the biggest hedge funds and asset managers own. Look up any institutional manager by name or CIK and pull their latest quarterly 13F holdings, one clean record per position, with issuer, CUSIP, market value, shares, implied price per share, portfolio weight and rank, quarter-over-quarter change (new / added / reduced), voting authority and a direct link to the source filing. Export for research, alpha signals and portfolio tracking.
Any manager by name or CIK
Every position issuer, CUSIP, value, shares
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Alpha and idea generation | Analysts cloning or fading famous funds' positions |
| Portfolio and risk | Teams tracking crowding and concentration across managers |
| Fintech and data products | Builders adding institutional ownership to their apps |
| Journalism and research | Reporters citing who bought or sold what, quarter over quarter |
### How to use it
1. Enter a **manager** by name (for example `Berkshire Hathaway`, `Bridgewater Associates`, `Scion Asset Management`) or by CIK (for example `0001067983`).
2. Set **Max Items** to cap how many holdings you want from the latest filing.
3. Run, then export as JSON, CSV or Excel, or pull the data through the Apify API.
### Frequently Asked Questions
**What is a 13F filing?**
Institutional managers that exercise investment discretion over at least 100 million US dollars in listed US equities must disclose their holdings every quarter on Form 13F. This actor returns those disclosed positions.
**How are values reported?**
Recent filings report market value in whole US dollars; older filings reported in thousands. Each record includes the reported value, a normalized `valueUsd`, and a `valueUnit` flag so the numbers are always comparable.
**Why are there several rows for the same issuer?**
A manager can split a single holding across co-managers or voting arrangements, so the filing lists each slice on its own line. This actor keeps that full granularity, one record per line, so nothing is lost.
**Can I look up a fund by its manager name?**
Yes. Enter the fund or firm name and the actor finds the matching filer automatically, or enter the CIK directly for an exact match.
**How fresh is the data?**
The actor always resolves the manager's most recent 13F filing at run time, so you get the latest quarter that has been disclosed.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
- [SEC EDGAR Filings Scraper](https://apify.com/scrapers_lat/sec-edgar-filings-scraper)
- [SEC EDGAR Financials Scraper](https://apify.com/scrapers_lat/sec-edgar-financials-scraper)
- [Yahoo Finance Scraper](https://apify.com/scrapers_lat/yahoo-finance-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog 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 SEC. It only accesses publicly available regulatory disclosures. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxHoldings` (type: `integer`):
Maximum number of holdings to return from the latest 13F filing. Optional.
## `manager` (type: `string`):
The hedge fund or asset manager to look up, by company name (for example 'Berkshire Hathaway', 'Bridgewater Associates', 'Scion Asset Management') or by SEC CIK number (for example 0001067983).
## Actor input object example
```json
{
"maxHoldings": 30,
"manager": "Berkshire Hathaway"
}
```
# 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 = {
"maxHoldings": 30,
"manager": "Berkshire Hathaway"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/sec-13f-holdings-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 = {
"maxHoldings": 30,
"manager": "Berkshire Hathaway",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/sec-13f-holdings-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 '{
"maxHoldings": 30,
"manager": "Berkshire Hathaway"
}' |
apify call scrapers_lat/sec-13f-holdings-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/sec-13f-holdings-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/MaVnTnghtOlTx9Dh8/builds/AVjYx6z76VkYnJAS7/openapi.json