🇪🇺 EU MAR Insider Transactions — Italy + Netherlands + Spain + Belgium

Pan-European insider trading feed in ONE normalized schema. Four National Competent Authorities. Bloomberg charges €25,000-€100,000/year for the equivalent. This actor is the open alternative.

EU MAR (Market Abuse Regulation) Article 19 requires every senior executive of a listed European issuer to disclose their personal trades in the issuer's shares within 3 business days. Each NCA publishes those disclosures on its own portal — in its own language, on its own schedule, with its own column layout. This actor scrapes four of the highest-signal NCAs at once and merges them into a single dataset row schema you can stream into a backtest, an alert pipeline, or a screener.

Country	NCA	Source register
🇮🇹 Italy	CONSOB	Internal Dealing
🇳🇱 Netherlands	AFM	Insider Transactions
🇪🇸 Spain	CNMV	Notificaciones de Transacciones de Ejecutivos
🇧🇪 Belgium	FSMA	Transactions by Senior Executives

France AMF is intentionally NOT included. The AMF BDIF API geo-blocks non-French IPs with HTTP 500. If you need French dirigeants declarations, use the dedicated france-amf-insider-trades actor (it ships with the right residential-proxy defaults).

---

🎯 Who buys this data

European long-only portfolio managers

You're running a fundamental Europe book and you want to know when the CFO of a name you own (or are about to own) sold €5M of their own stock at the same time as the company was guiding to a "strong outlook." Insider buys in the same window are an even better signal. CONSOB+AFM+CNMV+FSMA gives you about 65% of the EuroStoxx 600 by market cap, in one stream.

Activist short funds

The classic European short setup is: management pumping the story while quietly cashing out. This actor surfaces the cashing-out side automatically, with transaction_direction = "sell" and the EUR value of every disposal, normalized across four jurisdictions. Run daily; alert on dispositions over a size threshold.

ESG & governance teams

Section 27 of the EU SRD II and most major ESG screens flag executive selling clusters around critical disclosures (earnings, M&A, guidance revisions). This actor gives you the structured input to those screens without paying a Big Four data provider €40K/year for the same underlying public records.

---

⚙️ Sample input

{
  "country": "all",
  "issuer_filter": "",
  "days_back": 30,
  "transaction_direction": "any",
  "max_transactions": 100
}

Filter to Italian sells in Unicredit over the last 60 days

{
  "country": "italy",
  "issuer_filter": "UniCredit",
  "days_back": 60,
  "transaction_direction": "sell",
  "max_transactions": 200
}

---

📊 Sample output

{
  "country": "Italy",
  "nca": "CONSOB",
  "issuer_name": "UniCredit S.p.A.",
  "insider_name": "Andrea Orcel",
  "position": "CEO",
  "transaction_date": "2026-05-22",
  "transaction_type": "Acquisto",
  "transaction_direction": "buy",
  "volume": 12000,
  "price": 41.85,
  "currency": "EUR",
  "total_value_eur": 502200.0,
  "notification_url": "https://www.consob.it/...",
  "data_source": "CONSOB (EU MAR Article 19)"
}

Every row carries:

• country & nca — so you can pivot the dataset back to jurisdiction
• issuer_name & insider_name & position (CEO / CFO / Board member / PCA)
• transaction_date (ISO-8601, normalized from dd/mm/yyyy and similar)
• transaction_type in the source language, plus a derived transaction_direction (buy / sell / other)
• volume, price, total_value_eur (parsed as floats — European or Anglo decimal both supported)
• notification_url — deep link back to the source filing for audit

---

🚀 Run it

From the Apify UI

1. Open the actor → Start
2. Pick a country (or leave all)
3. Set days_back (default 30) and optional issuer_filter
4. Hit Start. Results land in the run's default dataset.

From Python (Apify SDK)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/eu-mar-insider-transactions-tracker").call(
    run_input={
        "country": "all",
        "days_back": 30,
        "transaction_direction": "sell",
        "max_transactions": 500,
    }
)

for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["country"], row["issuer_name"], row["transaction_type"],
          row.get("total_value_eur"))

From cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~eu-mar-insider-transactions-tracker/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"country": "spain", "days_back": 14, "transaction_direction": "buy"}'

---

🧩 What it does NOT do

• No France AMF. Use the dedicated france-amf-insider-trades actor — AMF geo-blocks non-FR IPs.
• No Germany BaFin / DGAP — BaFin runs the disclosures through a separate publisher pipeline (DGAP); we may add it in a future release.
• No UK FCA / Investegate — use investegate-rns-aggregator for the LSE/AIM RNS feed.
• No Form 4-style insider derivative grants beyond what the NCAs publish — MAR Article 19 covers PDMR personal trades, not 10b5-1 plans, lock-ups, or company-side buybacks.

---

⚖️ Legal posture

Every record this actor returns is published by the issuer's competent NCA under EU MAR Article 19 — these are public regulatory disclosures by design. The actor reads pages exposed to anonymous browsers, uses a polite User-Agent that identifies the operator and a contact email (hello@thenextgennexus.com), and respects each portal's robots posture. We do not log in, bypass auth, or hit any non-public endpoint.

---

🔗 Related Actors

Building a multi-jurisdiction insider-trading research stack? These pair naturally with this EU MAR feed:

Actor	What it covers
SEC Form 4 Insider Trading Scraper	US side — every Form 4 PDMR trade on Edgar, same normalized schema philosophy
Investegate RNS Aggregator	UK LSE / AIM regulatory news — PDMR notifications, holding announcements
China A-Share Insider Trades	SSE+SZSE Chinese insider disclosures — covers the other major EM equity book

Combine them and you have global insider flow in one stack at a fraction of a Bloomberg/Refinitiv contract.

---

🙋 Support

Issues, missing NCAs, schema requests, data quality bugs — email hello@thenextgennexus.com. We reply within one business day.