We extract lawyer directories, firm profiles, case law opinions, and legal Q&A from Justia. 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 Lawyer Profiles objects from justia.com. All fields typed and schema-versioned.
"lawyer_id": "LWY-98421", "name": "Sarah Jenkins", "firm_name": "Jenkins & Associates", "practice_areas": "['Personal Injury', 'Medical Malpractice']", "admissions": "['California 2012', 'New York 2014']", "justia_rating": 9.8, "phone": "+1-415-555-0198"
| # | lawyer_id | name | firm_name | practice_areas | fees | languages |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Law Firm Profiles objects from justia.com. All fields typed and schema-versioned.
"firm_id": "FRM-3321", "firm_name": "Smith Legal Group", "size": "50-100", "location": "Chicago, IL", "practice_areas": "['Corporate Law', 'Intellectual Property']", "website": "https://smithlegalgroup.example.com", "office_locations": "['Chicago', 'Springfield']"
| # | firm_id | firm_name | size | location | attorneys_list | practice_areas |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Case Law objects from justia.com. All fields typed and schema-versioned.
"case_id": "CASE-99214", "case_name": "State v. Anderson", "court": "Supreme Court of California", "date_filed": "2024-03-12", "docket_number": "S245192", "citations": "['45 Cal.4th 112']", "url": "https://law.justia.com/cases/california/supreme-court/2024/s245192.html"
| # | case_id | case_name | court | date_filed | docket_number | judge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Statutes & Codes objects from justia.com. All fields typed and schema-versioned.
"statute_id": "STAT-NY-P32", "title": "Penal Law", "section": "125.25", "jurisdiction": "New York", "year": 2023, "chapter": "Homicide", "url": "https://law.justia.com/codes/new-york/2023/pen/part-3/title-h/article-125/125-25/"
| # | statute_id | title | section | jurisdiction | year | text_content |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ask A Lawyer objects from justia.com. All fields typed and schema-versioned.
"question_id": "Q-882194", "question_title": "Can my landlord evict me without notice?", "practice_area": "Real Estate Law", "jurisdiction": "Texas", "date_asked": "2025-01-14", "lawyer_answers": 3, "url": "https://answers.justia.com/question/882194"
| # | question_id | question_title | question_body | practice_area | jurisdiction | date_asked |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Justia scraper handles the entire legal directory and case law database: attorney profiles, firm hierarchies, and primary law documents, with anti-bot circumvention built in.
Extract comprehensive attorney profiles including contact information, bar admissions, education history, and Justia ratings.
Capture firm hierarchies, size estimates, attorney rosters, and multi-office location data directly from firm profiles.
Map attorneys and firms across specific practice areas, categorised by state, county, and city jurisdictions.
Extract federal and state court opinions, docket numbers, filing dates, and full opinion text for legal research.
Map cross-referencing cited cases to build citation networks and identify precedent relationships.
Extract state and federal code hierarchies, section text, and historical amendments for compliance databases.
Capture user questions, attorney answers, jurisdiction tags, and practice area categorisation from the Q&A forum.
Run continuous pipelines for new lawyer registrations, updated case filings, and recent legal answers.
Target extraction by specific zip codes, counties, or judicial districts to build localised legal directories.
Brief in. Clean data out.
Provide target jurisdictions, practice areas, or case law domains. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for justia.com.
Schema validation, null-rate checks, and data normalisation tests before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Legal directories protect their contact data aggressively. Here is how we maintain reliable extraction for Justia.
Justia limits aggressive scraping of attorney contact details. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain access.
Phone numbers and email addresses on Justia profiles often require JavaScript execution or user interaction to reveal. We run full Playwright browser sessions to capture this hidden data.
State and city-level attorney directories span thousands of paginated results. Our pipeline handles deep pagination traversal, ensuring complete coverage without dropping records or timing out.
For large directory monitoring, we maintain a hash index of last-seen values per lawyer profile. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops, responding before you notice.
Founders build alternative lawyer directories, rating systems, and legal marketplaces using baseline Justia profile data.
Marketing agencies target attorneys based on practice area and location to sell specialized services, software, or consulting.
Law firms monitor competitor expansion, new hires, and practice area shifts across regional markets.
Researchers analyse case law citation networks, judicial opinion trends, and statutory changes over time.
Legal recruiters identify candidates by filtering for specific bar admissions, education backgrounds, and firm affiliations.
Investors evaluate the saturation of specific legal practice areas in target cities to inform funding decisions.
"Justia holds the most comprehensive open-access legal directory and case law database in the US, but querying it systematically requires enterprise infrastructure."
Most teams underestimate the investment required: reliable Justia scraping requires residential proxies, full JavaScript rendering for contact details, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our justia.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, deduplication, and retry logic. Playwright handles JavaScript rendering and interaction flows for hidden contact data.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request to prevent IP bans during deep directory crawls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About justia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Justia is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt targets only public, non-authenticated lawyer profiles, case law, and statutes. We do not extract private messages or circumvent authentication walls. Clients should review Justia ToS and consult legal counsel for specific use cases.
We use US-based residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for CAPTCHA rate spikes in real time and trigger solver queues automatically.
Yes. Where contact information requires a click or JavaScript execution to reveal, our Playwright integration handles the interaction to capture the underlying data.
Directory updates can be scheduled weekly or monthly. For case law and statutes, we can configure daily runs to capture newly filed opinions and legislative changes.
Our smallest packages start at a defined state or practice area list (typically 10,000-50,000 profiles). For national extraction or complete case law databases, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 lawyer profiles or 50 case opinions as part of the pre-engagement scoping process, so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a specific state directory export or a continuous feed of new case law opinions, we scope, build, and operate the pipeline. Tell us what you need.
