We extract attorney profiles, firm details, peer reviews, client ratings, and practice areas from Martindale. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Attorney Profiles objects from martindale.com. All fields typed and schema-versioned.
"attorney_id": "AT-8472910", "full_name": "Jane Doe", "firm_name": "Smith & Associates LLP", "av_rating": "AV Preeminent", "peer_rating": 4.9, "client_rating": 4.8, "practice_areas": "['Corporate Law', 'Mergers & Acquisitions']", "profile_url": "https://www.martindale.com/attorney/jane-doe-8472910/"
| # | attorney_id | full_name | firm_name | firm_id | title | av_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Law Firms objects from martindale.com. All fields typed and schema-versioned.
"firm_id": "FM-102938", "firm_name": "Smith & Associates LLP", "size_category": "51-200 attorneys", "founded_year": 1985, "headquarters": "New York, NY", "website": "https://www.smithassociates.com", "phone_number": "+1-212-555-0199", "martindale_url": "https://www.martindale.com/organization/smith-associates-llp-102938/"
| # | firm_id | firm_name | size_category | founded_year | headquarters | office_locations |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Peer Reviews objects from martindale.com. All fields typed and schema-versioned.
"review_id": "PR-993821", "attorney_id": "AT-8472910", "overall_rating": 5.0, "legal_knowledge_score": 5.0, "ethics_score": 5.0, "review_date": "2025-11-12", "reviewer_type": "Private Practice Attorney", "review_text": "Exceptional capability in complex M&A transactions."
| # | review_id | attorney_id | overall_rating | legal_knowledge_score | analytical_capability_score | judgment_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Client Reviews objects from martindale.com. All fields typed and schema-versioned.
"review_id": "CR-448291", "attorney_id": "AT-8472910", "overall_rating": 4.5, "review_date": "2025-09-04", "hired_attorney": true, "practice_area": "Corporate Law", "review_title": "Highly professional and responsive", "recommended": true
| # | review_id | attorney_id | overall_rating | review_date | hired_attorney | consultation_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from martindale.com. All fields typed and schema-versioned.
"keyword": "Corporate Lawyer", "location": "New York, NY", "position": 3, "attorney_id": "AT-8472910", "full_name": "Jane Doe", "av_rating": "AV Preeminent", "sponsored_placement": false, "scraped_at": "2026-01-15T08:30:00Z"
| # | keyword | location | position | attorney_id | full_name | firm_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Martindale scraper parses complex attorney profiles, firm hierarchies, and proprietary rating systems with JavaScript rendering and bot circumvention built in.
Extract education history, bar admissions, practice areas, and contact details for individual lawyers.
Map attorneys to their respective firms, capturing office locations, size categories, and firm-wide practice areas.
Capture Martindale's proprietary AV Preeminent, Distinguished, and Notable peer rating tiers.
Parse detailed review scores across legal knowledge, ethics, communication, and analytical capabilities.
Monitor organic and sponsored positions for specific legal keywords and geographic locations.
Standardise office addresses, phone numbers, and regional bar admissions across the entire catalogue.
Track rating upgrades, firm changes, or new bar admissions over time with hash-based diffing.
Process tens of thousands of profiles daily using distributed crawler infrastructure.
Bypass strict directory rate limits using residential proxies and humanised request patterns.
Brief in. Clean data out.
Provide geographic regions, practice areas, or specific firm URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and bot bypass mechanisms for martindale.com.
Schema validation, null-rate checks, and sample profile reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Legal directories deploy aggressive scraping countermeasures. Here is how we maintain stable data extraction.
Martindale uses advanced bot protection to block automated traffic. Our crawlers use residential ISP proxies with realistic browser fingerprints and request timing trained on standard user behaviour.
Review pagination and contact detail reveals often require JavaScript execution. We run full Playwright browser sessions to trigger lazy-loads and hydrate dynamic components.
The relationship between individual attorney profiles and master law firm records is complex. We maintain relational mappings to ensure you receive a normalised, queryable dataset.
For massive directory catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, schema drift, and coverage drops, adjusting selectors before you miss a data delivery.
Software vendors enrich their internal CRM and user databases with verified bar admissions, practice areas, and AV ratings.
Service providers targeting the legal sector extract firm sizes, key partners, and contact details to optimise lead routing.
Law firms monitor competitor headcount changes, new partner acquisitions, and practice area expansion.
Litigation support teams identify highly rated attorneys in niche practice areas for consultation or referral networks.
Secondary legal directories and regional bar associations cross-reference their membership records against Martindale data.
Analysts track the geographic distribution of specific legal specialities to identify underserved markets.
"Martindale remains the definitive system of record for legal peer reviews and attorney credentials, but extracting that hierarchy requires a highly resilient pipeline."
Most teams underestimate the investment required: reliable Martindale scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our martindale.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and interaction flows. Combined via custom middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About martindale.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Martindale is generally permissible under applicable law. DataFlirt targets only public, non-authenticated attorney, firm, and review data. We do not extract personal data behind logins or violate GDPR. Clients should review platform terms and consult legal counsel for specific use cases.
We use residential ISP proxies, Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate limits in real time and trigger pool rotation automatically.
Yes. We capture the exact rating tier, numerical scores, and the breakdown of peer versus client ratings for every attorney profile.
Full catalogue refreshes at weekly or monthly cadences complete within defined windows depending on volume. Targeted tracking for specific firms or keywords can run daily.
Yes. We extract the hierarchical relationship, ensuring every attorney record contains the parent firm ID and firm name, allowing for relational database mapping.
Our smallest packages start at a defined list of regions or practice areas. For full-site extraction, we price based on compute volume and delivery frequency. Contact us for a scoped quote.
Absolutely. We provide a sample run of up to 500 profiles or 50 search result pages as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a targeted list of corporate lawyers in New York or a continuous feed of national firm updates, we scope, build, and operate the pipeline. Tell us what you need.
