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SEC Form 13-F Institutional Portfolio Delta Scraper

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Track institutional smart money quarterly portfolio deltas, new stock positions, and liquidations filed on SEC EDGAR Form 13-F.

Pricing

from $2.45 / 1,000 item scrapeds

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0.0

(0)

Developer

LiteZero

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🏛️ SEC Form 13-F Institutional Portfolio Delta Scraper

Track institutional smart money quarterly portfolio deltas, new stock positions, and liquidations filed on SEC EDGAR Form 13-F.

🥊 Why This Actor Beats the Competition

Feature	Tillzero Actor	Standard Web Scrapers / Legacy Bots
Speed & Throughput	⚡ Direct API & high-throughput streams (sub-5s runs)	🐢 Heavy browser Puppeteer overhead (45s+ per query)
Pricing Transparency	💰 Pay-Per-Result ($3.50 / 1k items)	💸 Expensive $49–$99/month subscriptions or compute lock-in
Data Quality & Schemas	🛡️ Strictly typed, validated ISO 8601 JSON	❌ Raw messy HTML dumps with missing columns
Bot Protection & Proxies	🌐 Built-in smart rotation and residential resilience	🚫 Frequent Cloudflare/Akamai 403 blocking

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console

Navigate to the Actor page in the Apify Store.
Configure your search parameters in the intuitive Web UI.
Click Start to run the scraper and export results to CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/sec-13f-smart-money-tracker").call(run_input={"fundName": "Berkshire Hathaway", "maxResults": 5})

dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} items!")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/sec-13f-smart-money-tracker').call({"fundName": "Berkshire Hathaway", "maxResults": 5});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

Method 4: REST API / cURL

curl -X POST "https://api.apify.com/v2/acts/litezero~sec-13f-smart-money-tracker/runs?token=YOUR_APIFY_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{"fundName": "Berkshire Hathaway", "maxResults": 5}'

📥 Input Parameters

Field	Type	Description	Default
`fundName`	String	Filter by hedge fund or asset manager (e.g. Berkshire Hathaway, Bridgewater, Citadel).	`Berkshire Hathaway`
`targetQuarter`	String	Target quarterly filing period (e.g. 2026-Q2, 2026-Q3).	`latest`
`minHoldingValueUSD`	Integer	Filter positions above minimum dollar value.	`1000000`
`maxResults`	Integer	Maximum holdings to extract.	`100`

📤 Output Data Dictionary & Sample JSON

{
  "fundName": "Berkshire Hathaway Inc",
  "cik": "0001067983",
  "quarter": "2026-Q3",
  "ticker": "OXY",
  "companyName": "OCCIDENTAL PETROLEUM CORP",
  "cusip": "674599105",
  "sharesHeld": 255281524,
  "marketValueUSD": 13248639248,
  "changeType": "increased",
  "sharesChanged": 12450000,
  "changePercentage": 5.13,
  "filingDate": "2026-08-14"
}

💡 Top Commercial Use Cases

Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.

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