⚖️ FindLaw Attorney Scraper

🚀 Pull US attorney and law firm profiles from FindLaw in minutes. Names, phone, address, practice areas, ratings. 1M+ profiles. No login.

🕒 Last updated: 2026-05-09 · 📊 20+ fields per attorney · 🇺🇸 1M+ US attorneys · 🚫 No auth required

Pull live attorney and law firm profiles from FindLaw.com, the largest US legal directory with over 1 million attorney profiles. The actor accepts a practice area plus state/city (or a direct URL), walks the result pages, and returns one structured record per attorney ready for legal-tech, recruiting, lead generation, or law-firm competitive intelligence.

Every run fetches data live so you get the current state of FindLaw at run time. Records include the attorney name, firm name, phone, address (street, city, state, ZIP), practice areas, years of experience, education, awards, peer rating, client rating, and a back-reference URL.

👥 Built for	🎯 Primary use cases
Legal-tech and SaaS sales	Source attorney prospects for legal-tech outreach
Recruiters	Find associates and partners by practice area
Lead-gen and CRM	Build attorney contact lists by city
Marketing agencies	Build local market presence reports
Researchers	Study legal-services market by region
Lender and finance	Source lawyer prospects for niche financing

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📋 What the FindLaw Scraper does

• ⚖️ 15 practice areas. Personal injury, criminal, family, business, immigration, bankruptcy, real estate, tax, employment, estate planning, IP, DUI/DWI, medical malpractice, workers comp, consumer protection.
• 🏛️ State + city filters. Filter by US state and optionally city for narrow targeting.
• 🔗 Direct URL. Pass a FindLaw search URL for ad-hoc scraping.
• 📞 Contact info. Phone, address, firm name where exposed.
• 📊 Ratings. Peer rating and client rating from FindLaw users.
• 🎓 Credentials. Years of experience, education, bar admissions, awards.

The scraper walks FindLaw's directory for your practice area + location, fetches each attorney's profile, and pushes structured records to the dataset.

💡 Why it matters: FindLaw has the largest US attorney directory but its UI is paginated and lacks bulk export. A live, structured pull beats manual lookup for legal-tech sales, recruiting, and lead generation at scale.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Salesforce or HubSpot via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
practiceArea	enum	Practice Area	One of 15 practice areas (e.g. personal-injury, criminal-law, family-law).
state	string	State	US state slug (e.g. new-york, california, texas).
city	string	City	Optional. City slug (e.g. los-angeles, manhattan).
startUrl	string	Start URL	Direct FindLaw search URL. Overrides practice area, state, and city.
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.

Example 1. Personal injury attorneys in New York.

{
  "practiceArea": "personal-injury",
  "state": "new-york",
  "city": "manhattan",
  "maxItems": 50
}

Example 2. California family-law attorneys statewide.

{
  "practiceArea": "family-law",
  "state": "california",
  "maxItems": 100
}

⚠️ Good to Know: when startUrl is set, all other filters are ignored. State and city slugs are dash-separated lower-case (e.g. new-york, not New York).

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📊 Output

The dataset returns one structured record per attorney. Each record carries identifiers, name, firm, contact info, practice areas, ratings, credentials, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 attorneyId	string	fl-12345678
👤 name	string	Jane Smith
🏢 firm	string	Smith & Associates LLC
📞 phone	string	+1 212 555 1212
🏠 address	string	123 5th Ave Suite 1500
🏙️ city	string	New York
📍 state	string	NY
📮 zipCode	string	10003
⚖️ practiceAreas	array	["Personal Injury", "Wrongful Death"]
🎓 yearsOfExperience	number	18
🏫 education	array	["JD - Columbia Law School", "BA - NYU"]
🏆 awards	array	["Super Lawyer 2024", "AV Preeminent"]
⭐ peerRating	number or null	5.0
⭐ clientRating	number or null	4.9
💬 clientReviewCount	number	48
🔗 profileUrl	string (url)	https://lawyers.findlaw.com/profile/.../jane-smith.html
📅 scrapedAt	ISO datetime	2026-05-09T12:00:00.000Z

📦 Sample records

1. Top-rated attorney with full profile

{
  "attorneyId": "fl-12345678",
  "name": "Jane Smith",
  "firm": "Smith & Associates LLC",
  "phone": "+1 212 555 1212",
  "address": "123 5th Ave Suite 1500",
  "city": "New York",
  "state": "NY",
  "zipCode": "10003",
  "practiceAreas": ["Personal Injury", "Wrongful Death", "Medical Malpractice"],
  "yearsOfExperience": 18,
  "education": ["JD - Columbia Law School", "BA - NYU"],
  "awards": ["Super Lawyer 2024", "AV Preeminent"],
  "peerRating": 5.0,
  "clientRating": 4.9,
  "clientReviewCount": 48,
  "profileUrl": "https://lawyers.findlaw.com/profile/12345678/jane-smith.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

2. Mid-career attorney (no awards)

{
  "attorneyId": "fl-22334455",
  "name": "John Doe",
  "firm": "Doe Law Office",
  "phone": "+1 213 555 1212",
  "address": "456 Wilshire Blvd",
  "city": "Los Angeles",
  "state": "CA",
  "zipCode": "90017",
  "practiceAreas": ["Family Law", "Divorce"],
  "yearsOfExperience": 12,
  "education": ["JD - UCLA"],
  "peerRating": 4.5,
  "clientRating": 4.7,
  "clientReviewCount": 22,
  "profileUrl": "https://lawyers.findlaw.com/profile/22334455/john-doe.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

3. Sparse record (newer attorney)

{
  "attorneyId": "fl-99999999",
  "name": "Sarah Lee",
  "firm": "Lee Legal Group",
  "phone": "+1 312 555 1212",
  "city": "Chicago",
  "state": "IL",
  "practiceAreas": ["Immigration"],
  "yearsOfExperience": 4,
  "peerRating": null,
  "clientRating": null,
  "profileUrl": "https://lawyers.findlaw.com/profile/99999999/sarah-lee.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to FindLaw so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects FindLaw as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured attorney data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ FindLaw Attorney Scraper (this Actor)	$5 free credit, then pay-per-use	1M+ US attorney profiles	Live per run	Practice area, state, city	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid lawyer-data platforms	$$$ monthly per seat	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual searches	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the FindLaw Attorney Scraper page on the Apify Store.
3. 🎯 Set filters. Pick practice area, state, and city, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

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

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💼 Business use cases

📊 Legal-tech sales Source attorney prospects for legal-tech outreach Build target lists by practice area and city Source phone and email contacts at scale Power CRM enrichment for legal-services SaaS	🏢 Recruiting and BD Find associates and partners by practice area Build recruiting pipelines by city Track competitor firm hiring patterns Power lateral-hire outreach campaigns
🎯 Marketing and lead-gen Build local market presence reports Source attorney contact lists for B2B outreach Power referral pipelines for niche financing Build legal-content audience research	🛠️ Engineering and product Power legal-directory products without owning a crawler Replace fragile in-house FindLaw scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating FindLaw Attorney Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily snapshots of attorney listings. Combine with the Apify dataset diff tools to track changes between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test FindLaw Attorney Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running FindLaw Attorney Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running FindLaw Attorney Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using FindLaw Attorney Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run FindLaw Attorney Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use FindLaw Attorney Scraper?

Yes. FindLaw Attorney Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

FindLaw Attorney Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by FindLaw or Thomson Reuters. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.