Scrapling x402

US companies with cluster or officer open-market buys, last 30 days

US companies with cluster or officer open-market buys, last 30 days is a paid dataset from Scrapling Data. It costs $0.05 per download. It currently has 35 rows. US companies where two or more insiders bought stock in the open market in the last 30 days, or a CEO/CFO or other named officer made an open-market buy: insider count, officer names, total buy and sell USD, net, first and last trade dates, and filing links. Rebuilt daily from the Form 4 archive (America/Chicago). Source: U.S. Securities and Exchange Commission (EDGAR). Not affiliated with or endorsed by the SEC. Data is taken as-filed and is not a substitute for the original filing. Rebuilt daily from the Form 4 archive (America/Chicago). Source: U.S. Securities and Exchange Commission (EDGAR). A free sample of 3 real rows is on this page as a CSV. The full file is at /v1/datasets/live_us_insider_cluster_officer_buys_30d/buy.

$0.0535 rowsStocks & Insider TradingUpdated 2026-11-15 04:33:07 UTC

Price and how to buy

$0.05 USDC via x402

Paid route: /v1/datasets/live_us_insider_cluster_officer_buys_30d/buy

Free sample CSV (preview rows only): /datasets/live_us_insider_cluster_officer_buys_30d/sample.csv

Example request

curl -i https://scraplingdata.xyz/v1/datasets/live_us_insider_cluster_officer_buys_30d/buy
# The first response is HTTP 402 with x402 payment accepts (7 options: Base, Polygon, Arbitrum, Solana, MetaMask erc7710, BNB USDC, BNB USDT).
# Pay the listed amount, then retry the same URL with the payment proof.
# Add ?format=csv to request CSV once the call is paid.

Free sample (3 preview rows, not the paid file)

tickerissuer_cikissuer_namecluster_buysofficer_buysofficer_kindsdistinct_buyersopen_market_buy_count
STWD1465128STARWOOD PROPERTY TRUST, INC.TrueTrueCEO24
BH1726173Biglari Holdings Inc.TrueTrueCEO33
NXGL1468929NEXGEL, INC.TrueTrueCEO24

These are the same free preview rows the API may show. This table and the sample CSV never include paid rows. Download the sample CSV.

FAQ

What is this dataset?

US companies with cluster or officer open-market buys, last 30 days is a paid dataset from Scrapling Data. It costs $0.05 per download. It currently has 35 rows. US companies where two or more insiders bought stock in the open market in the last 30 days, or a CEO/CFO or other named officer made an open-market buy: insider count, officer names, total buy and sell USD, net, first and last trade dates, and filing links. Rebuilt daily from the Form 4 archive (America/Chicago). Source: U.S. Securities and Exchange Commission (EDGAR). Not affiliated with or endorsed by the SEC. Data is taken as-filed and is not a substitute for the original filing. Rebuilt daily from the Form 4 archive (America/Chicago). Source: U.S. Securities and Exchange Commission (EDGAR). A free sample of 3 real rows is on this page as a CSV. The full file is at /v1/datasets/live_us_insider_cluster_officer_buys_30d/buy.

How much does it cost?

US companies with cluster or officer open-market buys, last 30 days costs $0.05, paid in USDC via x402. There is no API key and no charge if the call fails.

How do I buy it?

Send a GET request to https://scraplingdata.xyz/v1/datasets/live_us_insider_cluster_officer_buys_30d/buy. The store returns HTTP 402 with seven payment options, in order: USDC on Base, Polygon, Arbitrum, and Solana; MetaMask erc7710 on Base; and USDC or USDT on BNB Chain. Pay, then retry with the payment proof. You can request JSON, JSONL, CSV or Markdown. A plain walkthrough is at /guides/how-agents-pay-with-x402.

Is there a free sample?

Yes. This page includes a free sample CSV of 3 real preview rows — the same rows the API preview would show, and no paid rows. The API preview at /v1/datasets/live_us_insider_cluster_officer_buys_30d/preview also returns these 3 rows, and turns off after 200 public previews. This sample CSV does not count toward that cap.

How fresh is the data?

Rebuilt daily from the Form 4 archive (America/Chicago). Source: U.S. Securities and Exchange Commission (EDGAR).