🛡️ OpenSanctions Sanctions & PEP Entities Scraper

🚀 Export the global sanctions and PEP universe in seconds. Pull 280,000+ sanctioned individuals, companies, vessels, and politically exposed persons consolidated from 250+ official watchlists. No sign-up, no manual list stitching, no per-source parsers.

The OpenSanctions Entities Scraper exports the consolidated OpenSanctions catalogue and returns up to 30 structured fields per record, including canonical names, aliases, gender, nationality, identifiers (passport, INN, OGRN, LEI, IMO), addresses, sectors, sanction programmes, topic flags, and the underlying source lists. The OpenSanctions catalogue is one of the most widely cited consolidated watchlist sources in the AML, KYC, and investigative-journalism communities.

The catalogue covers every major sanctions regime, PEP register, and crime / wanted list on Earth, from the U.S. OFAC SDN list and EU Financial Sanctions Files to the UK HMT list, UN Security Council sanctions, Russian Wanted lists, and dozens of national debarment registries. This Actor makes that data downloadable as CSV, Excel, JSON, or XML in under five minutes. Filters run server-side, so you skip the merge engineering entirely.

🎯 Target Audience	💡 Primary Use Cases
Compliance, AML, and KYC teams; banks and fintechs; legal and due-diligence firms; investigative journalists; OSINT and risk analysts; crypto exchanges; corporate procurement	Sanctions screening, PEP detection, ultimate-beneficial-owner research, vessel and aircraft watchlist checks, supplier debarment screening, adverse-media triage, periodic refresh of internal watchlists

📋 What the OpenSanctions Entities Scraper does

Six filtering workflows in a single run:

• 🛡️ Consolidated sanctions. The full union of OFAC, EU FSF, UK HMT, UN, Australia DFAT, Canada SEMA, and 60+ other sanctions regimes.
• 🏛️ PEP register. Politically exposed persons across heads of state, ministers, judges, diplomats, and family members (RCAs).
• 🚓 Crime and wanted lists. Interpol, FBI, national police bulletins, financial crime, terrorism, trafficking, cybercrime, and fraud topics.
• 🚫 Debarment registers. World Bank, UN, EU, U.S. SAM excluded suppliers and procurement bans.
• 🌍 Country filter. Restrict to entities tied to a single country code (e.g. ru, ir, kp, cn, us).
• 🏷️ Type, topic, name, and source slug filters. Combine freely (e.g. all sanctioned vessels, or all PEPs in Iran, or every Person flagged for fraud).

Each record includes the canonical display name, every recorded alias and transliteration, gender and nationality, structured identifiers (passport, INN, OGRN, LEI, IMO), addresses, sectors, sanction programmes, topic flags, the source datasets the entity came from, original source URLs, first-seen and last-changed timestamps, and a deep link to the public OpenSanctions profile.

💡 Why it matters: sanctions, PEP, and watchlist screening is the foundation of AML compliance, payment risk scoring, and KYC onboarding. Building your own consolidated list means writing parsers for 250+ sources, deduping across regimes, normalising aliases, and refreshing daily. This Actor skips all of that and gives you a clean, refreshed snapshot on every run.

📊 Data fields

Each record includes: addresses, aliases, aliasesTotal, aliasesTruncated, birthDates, caption, countries, datasets, emails, firstSeen, gender, id, idNumbers, imoNumbers, innCodes, jurisdictions, lastChange, lastSeen, leiCodes, names, nationality, notes, ogrnCodes, passportNumbers, phoneNumbers, phones, positions, profileUrl, registrationNumbers, sanctionProgrammes, schema, scrapedAt, sectors, sourceUrls, status, target, taxNumbers, topics, websites. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account w/ $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the OpenSanctions Sanctions & PEP Entities Scraper page on the Apify Store.
3. 🎯 Set input. Pick a collection (sanctions / peps / crime / debarment), optionally add a country, topic, or name filter, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor stream the consolidated catalogue.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to a downloaded sanctions dataset: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by OpenSanctions or any of the issuing authorities whose lists it consolidates. All trademarks mentioned are the property of their respective owners. Only publicly available open watchlist data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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