Martindale Scraper + TaskAGI

Scrape Martindale lawyer data instantly

Pull lawyer profiles, reviews, and practice areas directly from Martindale.com into your workflow. Skip manual research and get structured legal directory data in seconds.

Connect Martindale Scraper

Available Operations

Actions you can perform with Martindale Scraper

Scrape Lawyer Profiles

Extract detailed lawyer information from Martindale profile URLs

Discover Lawyers by Keyword

Find lawyers using keyword search on Martindale directory

Use Cases

Real-world automations you can build today

Build prospect lists

Find lawyers by practice area and location to populate your sales pipeline automatically.

Monitor lawyer reviews

Track Martindale ratings and client feedback for competitive intelligence and partner vetting.

Sync to CRM

Push scraped lawyer data directly into your CRM for instant contact and lead management.

Automate legal research

Extract practice areas and specializations to match clients with the right attorneys at scale.

How It Works

Get started in minutes

Connect

Link your TaskAGI account to Martindale Scraper with one click—no credentials needed.

Configure

Set your search filters: practice area, location, experience level, or keyword terms.

Build

Create a workflow to scrape profiles, extract data, and route results to your CRM or database.

Deploy

Activate your automation and let it run on schedule or on-demand to keep data current.

Frequently Asked Questions

How do I connect Martindale Scraper?

Create a TaskAGI account, add the Martindale Scraper integration, and configure your search parameters. No API key required—just set your criteria and start scraping.

What data can I extract?

Lawyer names, contact info, practice areas, experience level, client reviews, ratings, and office locations from Martindale.com.

Can I search by specific practice areas?

Yes. Use the 'Discover Lawyers by Keyword' operation to filter results by practice area, location, or attorney name.

How often can I run scrapes?

Run as many scrapes as you need. We recommend scheduling daily or weekly jobs to keep your data fresh without overloading servers.