⚖️ CourtListener Opinions Scraper

🚀 Export US federal and state court opinions in seconds. Pull the latest published opinions from the Supreme Court, federal Circuit Courts of Appeals, District Courts, and specialty tribunals straight into clean CSV, Excel, JSON, or XML.

CourtListener is a free legal research project run by Free Law Project. This scraper reads the public Atom feeds for every court that CourtListener tracks and turns each opinion into a structured record with title, URL, court name, publication date, summary, and direct PDF link. No CourtListener account or API token required.

Coverage includes the Supreme Court of the United States, all 13 federal Circuit Courts of Appeals (including the Federal Circuit and D.C. Circuit), specialty courts like the Court of International Trade, the Court of Federal Claims, the Tax Court, the FISA Court and its Court of Review, and dozens of high-traffic federal District Courts (S.D.N.Y., N.D. Cal., E.D. Va., S.D. Fla. and more). Pick a single court or use the high-volume "All Courts" stream.

🎯 Target Audience	💡 Primary Use Cases
Legal researchers, paralegals, law firms, journalists, academics, legaltech engineers	Build case alert feeds, monitor a specific circuit, populate a legal data warehouse, train legal NLP models, track federal litigation trends

📋 What the CourtListener Opinions Scraper does

• Pulls the latest opinions from a chosen court Atom feed
• Decodes titles, links, courts, publication dates, and short summaries
• Returns a direct PDF link for each opinion when available
• Supports 46+ courts from the Supreme Court to high-traffic district courts
• Exports clean tabular data to CSV, Excel, JSON, or XML

💡 Why it matters: legal research products and academic studies need raw, structured opinion data. This Actor delivers it in seconds without scraping court websites individually.

📊 Data fields

Each record includes: court, pdfUrl, publishedDate, results, scrapedAt, summary, title, url. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: CourtListener's feeds return the most recent opinions per court. To go deeper into the historical archive you can chain runs across multiple courts or schedule daily runs to capture all new filings.

🚀 How to use

1. Create a free Apify account with $5 credit
2. Open the CourtListener Opinions Scraper
3. Pick a court from the dropdown
4. Set maxItems
5. Click Start and download CSV / Excel / JSON / XML when the run completes

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⚠️ Disclaimer: This is an independent tool not affiliated with CourtListener or Free Law Project. Only publicly available data is collected. Opinions remain in the public domain per Free Law Project's terms.

🆘 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.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.