We extract attorney profiles, Avvo Ratings, bar license statuses, client reviews, and legal Q&A from Avvo. 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 avvo.com. All fields typed and schema-versioned.
"avvo_id": "123456", "name": "Jane Doe", "avvo_rating": 9.8, "firm_name": "Doe Legal Group", "years_licensed": 14, "free_consultation": true, "address": "123 Main St, Seattle, WA"
| # | avvo_id | name | avvo_rating | firm_name | address | phone_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Client Reviews objects from avvo.com. All fields typed and schema-versioned.
"review_id": "R89231", "star_rating": 5, "reviewer_type": "Consulted client", "review_title": "Excellent advice", "review_date": "2023-11-14", "hired_attorney": false, "helpful_votes": 12
| # | review_id | avvo_id | reviewer_type | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bar & Disciplinary Records objects from avvo.com. All fields typed and schema-versioned.
"avvo_id": "123456", "state_bar": "Washington", "license_status": "Active", "acquired_date": "2010-05-12", "disciplinary_history": false, "disciplinary_details": "None"
| # | avvo_id | state_bar | license_status | acquired_date | updated_date | disciplinary_history |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Legal Q&A objects from avvo.com. All fields typed and schema-versioned.
"question_id": "Q99123", "category": "Criminal Defense", "location": "Austin, TX", "asked_date": "2024-01-02", "answer_count": 3, "best_answer_selected": true
| # | question_id | category | location | question_title | question_body | asked_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Peer Endorsements objects from avvo.com. All fields typed and schema-versioned.
"endorsement_id": "E4412", "endorsing_attorney_name": "John Smith", "relationship": "Worked together on matter", "endorsement_text": "Highly recommended.", "date_endorsed": "2022-08-19", "practice_area": "DUI"
| # | endorsement_id | avvo_id | endorsing_attorney_id | endorsing_attorney_name | relationship | endorsement_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Avvo scraper extracts complete profile data, client sentiment, and disciplinary histories while automatically bypassing rate limits and dynamic obfuscation.
Name, firm details, contact information, and biography text captured across all attorney directory pages.
Extract the proprietary 1-10 Avvo Rating, including sub-scores for experience, industry recognition, and professional conduct.
Scrape state bar admission dates, current license status, and historical standing across multiple jurisdictions.
Capture documented disciplinary actions, reprimands, and suspensions linked to attorney profiles.
Extract star ratings, full review text, reviewer type, and helpful vote counts across paginated review sections.
Track attorney-to-attorney endorsements to map referral networks and professional relationships.
Extract user questions, location data, practice area categorisation, and attorney responses from the Avvo advice forum.
Capture the percentage breakdown of cases handled per practice area as declared on the attorney profile.
Identify paid Pro placements versus organic directory rankings for any given geographic or practice area search.
Execute JavaScript to reveal obscured phone numbers and extract outbound website links.
Brief in. Clean data out.
Provide target practice areas, geographic regions, or specific attorney URLs. We map the required data points.
We configure Scrapy crawlers, implement Cloudflare bypasses, and manage residential proxy rotation for avvo.com.
Schema validation, null-rate checks on contact fields, and sample data delivery before production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on an agreed schedule.
Avvo implements strict rate limiting and pagination constraints. Here is how we extract complete datasets reliably.
Avvo employs strict rate limits and Cloudflare protection. We use residential proxies and Playwright to spoof legitimate TLS signatures and browser fingerprints.
Phone numbers and certain outbound links are obscured behind JavaScript event listeners. We render the DOM to capture these hidden nodes.
Directory searches often cap at 100 pages. We bypass this by injecting granular geographic and practice area filters to ensure complete coverage of the target region.
Claimed, unclaimed, and Pro profiles have different DOM structures. Our selectors use fallback chains to standardise data extraction regardless of the profile tier.
Avvo Ratings and review counts change frequently. We maintain hash indexes to deliver only updated profiles, reducing your ingestion compute load.
Identify attorneys based on practice area and location to market practice management software or marketing services.
Law firms track competitor ratings, review velocity, and sponsored placement strategies in specific geographic markets.
Populate secondary legal directories or referral networks with baseline attorney contact and licensing data.
Agencies monitor client reviews and Avvo Rating fluctuations to provide reputation management services to law firms.
Researchers analyse attorney density, practice area distribution, and disciplinary rates across different states.
Machine learning teams use the Avvo Q&A corpus to train domain-specific NLP models on standard legal inquiries and responses.
"Avvo holds the most comprehensive public graph of legal professionals, client sentiment, and peer networks, but extracting it requires navigating aggressive bot mitigation and complex directory pagination."
Building a reliable Avvo scraper is a constant battle against Cloudflare challenges, dynamic DOM changes between claimed and unclaimed profiles, and strict pagination limits. DataFlirt manages the proxy rotation, JavaScript rendering, and schema normalisation so your team can focus on analysing the legal market data, not maintaining the extraction infrastructure.
Everything supported by our avvo.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 concurrent directory traversal, queue management, and retry logic. Playwright executes JavaScript for dynamic contact fields.
We route requests through ISP-grade residential proxies to avoid IP bans and Cloudflare blocks. Sticky sessions are used for paginated review extraction.
Pipelines execute on AWS ECS with Airflow orchestration. PostgreSQL maintains extraction state and hash indexes for delta delivery.
Data delivered to where your team already works — no new tooling required.
About avvo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public factual data like attorney names, practice areas, and bar license status is generally permissible. DataFlirt does not scrape private user accounts or bypass authentication walls. Clients must ensure their specific use case complies with applicable regulations and Avvo's terms of service.
We utilise residential proxies, custom browser fingerprints, and Playwright to simulate legitimate user behaviour, effectively navigating Cloudflare and rate-limiting mechanisms.
Yes. Avvo caps directory search results, so we programmatically inject granular city, zip code, and specific practice area filters to ensure complete extraction of all profiles in a given state.
Yes. Avvo obscures contact numbers behind JavaScript events. Our Playwright integration renders the page and executes the necessary events to capture the full phone number.
Yes. We can run scheduled pipelines that compare current profile data against our hash index, delivering only the profiles where the Avvo Rating, review count, or license status has changed.
Yes. We can extract the entire corpus of legal questions, categorised by practice area, along with the corresponding attorney answers and timestamps.
Depending on the state's attorney population, a full extraction typically completes within 12 to 24 hours. We adjust concurrency based on proxy health to ensure reliable delivery.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of a specific state bar or continuous tracking of Avvo Ratings across the country, we build and operate the infrastructure. Tell us your requirements.
