Super Lawyers Scraper — Attorney Leads & Awards

Attorney lead records from the Super Lawyers directory (Thomson Reuters). One row per attorney, carrying fullName, firmName, phone, website, contactFormUrl, street, city, state, zip, latitude/longitude, practiceAreas, licensedSinceYear, yearsLicensed, lawSchool, lawDegree, languages, badges — and the thing no other lawyer directory publishes, the Super Lawyers and Rising Stars selection history: superLawyersYears, risingStarsYears, firstSelectionYear, latestSelectionYear, totalYearsSelected and currentlySelected.

Filter by practice area, state, city, selection list, years selected and years licensed — or paste profile URLs and scrape those directly. No login, no API key, no CAPTCHA solving.

Scope, counted not quoted: 201,215 attorneys across all 51 rosters (50 states + Washington DC), every profile UUID distinct, measured 2026-08-12 by reading all 51 roster files. California 27,420 · New York 22,751 · Texas 15,888 · Florida 12,305 · Illinois 10,176 · Wyoming 139. 140 practice areas, read from the site's own index the same day.

The wedge: this is the only Super Lawyers Actor on the Store that lets you ask for the attorneys who are on the list right now, or who just made it for the first time. Competing actors return a selection-years array; this one computes it and lets you filter on it.

🚀 Quick start

It ships prefilled — press Start and change nothing. The first click returns 25 Providence, Rhode Island personal-injury attorneys with their selection years, for about $0.08, in roughly a minute and a half. Raise maxItems once you have seen the rows.

{
  "source": "directory",
  "practiceAreas": ["personal-injury-plaintiff"],
  "states": ["rhode-island"],
  "cities": ["providence"],
  "maxItems": 25,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Drop cities to sweep the whole state instead of one city. Send an empty input ({}) and you get this same sample run rather than an error, so an API or agent caller always gets real rows back.

Three more inputs you can paste over it:

// 1. The buying-intent cut: attorneys who are on the CURRENT Rising Stars list in Texas.
{
  "source": "directory",
  "practiceAreas": ["personal-injury-plaintiff", "family-law", "business-litigation"],
  "states": ["texas"],
  "selectionType": "risingStars",
  "currentSelectionsOnly": true,
  "maxItems": 1000
}

// 2. Whole-market coverage: a representative cross-section of Colorado, not just the
//    upgraded profiles at the front of the file (3,642 attorneys exist; this takes 2,000).
{
  "source": "stateRoster",
  "states": ["colorado"],
  "rosterOrder": "spread",
  "includeAchievements": false,
  "maxItems": 2000
}

// 3. Refresh a list you already have — is this attorney still on the list?
{
  "source": "profileUrls",
  "profileUrls": [
    "https://profiles.superlawyers.com/rhode-island/providence/lawyer/mary-cavanagh-dunn/8aaed2f9-01f5-4d30-b4eb-39dc42984e07.html"
  ],
  "maxItems": 100
}

✨ Why the selection data is the point

Super Lawyers is a peer-nominated, research-vetted list capped at the top 5% of lawyers in a state. Rising Stars is the parallel list for lawyers under 40 or in practice ten years or less, capped at the top 2.5%. Selection is annual, and the year-by-year history is on the profile.

That history is a buying-intent signal, not a vanity metric:

• Newly selected (1–2 years) — the lawyer who just made the list buys plaques, badges, ad placements and profile upgrades, and is at the career point where people leave a big firm and start their own shop. This is the cohort that buys practice-management software. → minYearsSelected: 1 … 2
• Rising Stars, currently selected — under 40, building a book, technology-native. The classic Clio / MyCase / Smokeball / Lawmatics ICP. → selectionType: "risingStars" + currentSelectionsOnly: true
• Selected 10+ years running — established partner, firm-level decisions, bigger contracts. → minYearsSelected: 10
• Lapsed (currentlySelected: false) — was on the list, is not now. Different conversation entirely, and you can only have it if you know. On the 100-row Rhode Island run, 71 of 100 rows were currently selected; the other 29 are that conversation.

Every row carries superLawyersYears, risingStarsYears, firstSelectionYear, latestSelectionYear, totalYearsSelected and currentlySelected, so you can segment on any of those without string surgery.

100% of rows carry at least one selection — 100 of 100 on the 100-row Rhode Island run, 200 of 200 on a four-state sample. Every attorney published in this directory is on the Super Lawyers list, the Rising Stars list, or both (22 of 100 were on both).

🎯 Use cases

You are a…	Use it to…
Legal-tech / practice-management SaaS (Clio, MyCase, Filevine, Smokeball, Lawmatics and everyone selling against them)	Pull currently-selected Rising Stars by state and practice area — the under-40, book-building, tech-native cohort — with phone at 100% and website at 95–96.5%
Legal-marketing agency	Target the lawyers who just made the list (minYearsSelected: 1–2, currentSelectionsOnly: true) — they are actively buying plaques, badges, ad placement and website work
Litigation finance / expert-witness network	Filter by practice area and years selected, then read verdictsAndSettlements and practiceAreaSplit on the upgraded profiles
Legal recruiter / headhunter	One row gives you totalYearsSelected, yearsLicensed, lawSchool, firmName and office city — the whole screen in a spreadsheet
Law-firm business development	Referral targeting: who in this city does the practice area I do not, and are they still on the list
Awards and CLE / conference sales	firstSelectionYear and latestSelectionYear tell you who is celebrating something this year

📥 Supported inputs

Input	Example	What it does
Directory search	practiceAreas: ["family-law"], states: ["texas"], cities: ["austin"]	Walks the attorneys.superlawyers.com listings, 25 attorneys per page
Whole state roster	source: "stateRoster", states: ["colorado"]	Reads the state's own roster file — every attorney Super Lawyers publishes there
Profile URLs	source: "profileUrls", profileUrls: ["https://profiles.superlawyers.com/…/uuid.html"]	Re-scrapes exactly those attorneys, no enumeration

Not supported: law-firm (/lawfirm/) URLs — they are firm pages, not attorneys, so they are named in the log and skipped rather than turned into a half-empty row. Non-US attorneys — Super Lawyers covers the 50 states plus DC and nothing else. Email addresses — see Honest limits.

📦 One real row

A real row from the 100-row Rhode Island run, unedited (scrapedAt 2026-08-13):

{
  "profileId": "8aaed2f9-01f5-4d30-b4eb-39dc42984e07",
  "fullName": "Mary Cavanagh Dunn",
  "tagline": "Top rated Business Litigation attorney in Providence, Rhode Island",
  "jobTitle": "Attorney at Law",
  "photoUrl": "https://cdn.superlawyers.com/image/upload/…/mary-cavanagh-dunn-ldak6kx4.png",

  "superLawyersSelected": true,
  "superLawyersYearsSelected": 11,
  "superLawyersSelectionPeriod": "2015 - 2018, 2020 - 2026",
  "superLawyersYears": [2015, 2016, 2017, 2018, 2020, 2021, 2022, 2023, 2024, 2025, 2026],
  "risingStarsSelected": true,
  "risingStarsYearsSelected": 5,
  "risingStarsSelectionPeriod": "2010 - 2014",
  "risingStarsYears": [2010, 2011, 2012, 2013, 2014],
  "totalYearsSelected": 16,
  "firstSelectionYear": 2010,
  "latestSelectionYear": 2026,
  "currentlySelected": true,

  "firmName": "Blish & Cavanagh LLP",
  "firmProfileUrl": "https://profiles.superlawyers.com/rhode-island/providence/lawfirm/blish-and-cavanagh-llp/190b36c4-01cb-4634-8025-9a162adc97de.html",
  "phone": "401-831-8900",
  "phones": ["401-831-8900"],
  "website": "https://www.blishcavlaw.com",
  "professionalWebpage": "https://www.blishcavlaw.com/attorney/mary-c-dunn/",
  "contactFormUrl": "https://profiles.superlawyers.com/contact/lawyer/8aaed2f9-01f5-4d30-b4eb-39dc42984e07.html",

  "street": "30 Exchange Terrace Commerce Center",
  "city": "Providence", "state": "RI", "stateName": "Rhode Island", "zip": "02903",
  "latitude": 41.825504, "longitude": -71.413339,

  "practiceAreas": ["Business Litigation", "Constitutional Law", "Employment Litigation",
                    "Estate & Trust Litigation", "Media and Advertising", "Personal Injury - General"],
  "practiceAreaSplit": [{ "area": "Business Litigation", "percentage": 50 },
                        { "area": "Constitutional Law", "percentage": 10 }],

  "licensedInState": "Rhode Island",
  "licensedSinceYear": 2002,
  "yearsLicensed": 24,
  "lawSchool": "Suffolk University Law School",
  "lawDegree": "Juris Doctorate",
  "languages": ["English"],

  "awards": ["Selected to Super Lawyers"],
  "badges": [{ "name": "Selected to Super Lawyers", "description": null, "imageUrl": null }],
  "honors": ["Fellow of the Rhode Island Bar Foundation, Rhode Island Bar Foundation, 2022", "…"],
  "barActivity": ["Federal Bar Association, Member", "…"],
  "socialProfiles": { "linkedin": null, "facebook": null, "twitter": null, "youtube": null, "instagram": null },
  "otherDirectoryProfiles": ["https://lawyers.findlaw.com/rhode-island/providence/mary-cavanagh-dunn-MTM5ODc4M18x/"],

  "profileUrl": "https://profiles.superlawyers.com/rhode-island/providence/lawyer/mary-cavanagh-dunn/8aaed2f9-01f5-4d30-b4eb-39dc42984e07.html",
  "scrapedAt": "2026-08-13T01:48:58.183Z"
}

Three things people misread on this row:

• practiceAreaSplit percentages are the attorney's own 0–100 split of their book. They are not a rating and they do not share a scale with anything else on the row.
• superLawyersYearsSelected: 11 is a count of years, superLawyersYears is the list of them, and superLawyersSelectionPeriod is the site's own human string. All three are kept because they disagree in edge cases and you should be able to see which.
• An empty array ("certifications": []) means Super Lawyers published nothing there. It is not a fetch failure — see the fill tables.

🗂 Key output fields

Exactly 61 fields on every row of the default input — 62 with includeBiography on, 53 with includeAchievements off. The ones people buy this for:

Field	Type	Filled when
fullName, firmName, jobTitle, tagline	string	Always
phone, phones[]	string / array	Always (100% measured; withPhoneOnly is on by default)
website, websites[], firmProfileUrl, contactFormUrl	string / array	website 95–96.5%; the other two 100%
street, city, state, stateName, zip, country	string	Always
latitude, longitude	number	99.5–100%
practiceAreas[], practiceAreasText	array / string	Always
practiceAreaSplit[], focusAreas[]	array	Upgraded profiles only — 8.5%/7.5% statewide, 22%/19% on the 100-row Rhode Island run, 32.7%/31.3% on a directory search
superLawyersYears[], superLawyersYearsSelected, superLawyersSelectionPeriod	array / int / string	When the attorney is a Super Lawyer (65.5–73%)
risingStarsYears[], risingStarsYearsSelected, risingStarsSelectionPeriod	array / int / string	When the attorney is a Rising Star (49–54.5%)
totalYearsSelected, firstSelectionYear, latestSelectionYear	int	Always — 100% of rows carry at least one selection
currentlySelected	boolean	Always; true on 58.5% statewide, 71% on the 100-row Rhode Island run
licensedInState, licensedSinceYear, yearsLicensed	string / int	99–99.5%
lawSchool, lawSchoolUrl, lawDegree	string	99–100%
languages[], badges[], awards[]	array	100%
honors[], barActivity[], certifications[], industryGroups[], verdictsAndSettlements[], proBono[], scholarlyLectures[], otherEducation[]	array	Upgraded profiles only — see the fill tables (otherEducation 26–36.7%). These eight are the block includeAchievements: false removes
biography	string	Only when includeBiography: true
socialProfiles{}, professionalWebpage, otherDirectoryProfiles[]	object / string / array	24%, 11–42.7%, 100%
photoUrl	string	98.5–100%
profileId, profileUrl, firmLogoUrl, scrapedAt	string	Always. scrapedAt is ISO-8601 UTC

The dataset ships with three pre-built views so you do not have to build them: Attorney overview, Contact details and Selection history.

📊 Measured field fill — and why one number would mislead you

Fill depends on which profiles you ask for, because Super Lawyers sells profile upgrades and the upgraded ones carry an Achievements block the plain ones do not. Three honest baselines, all from real runs:

A. Representative statewide sample — 200 attorneys, stateRoster with rosterOrder: "spread" across TX / NY / FL / OH. This is the number to plan against.

Field	Fill	Field	Fill
fullName, firmName, phone	100%	practiceAreas	100%
street, city, state, zip	100%	practiceAreasText	100%
latitude / longitude	99.5%	licensedSinceYear, yearsLicensed	99.5%
website	96.5%	lawSchool, lawSchoolUrl	99.5%
photoUrl	98.5%	lawDegree, languages	100%
firmProfileUrl, firmLogoUrl	100%	badges, awards	100%
contactFormUrl	100%	otherDirectoryProfiles	100%
latestSelectionYear, firstSelectionYear, totalYearsSelected	100%	superLawyersYears	65.5%
currentlySelected	58.5% true	risingStarsYears	54.5%
socialProfiles	24.0%	professionalWebpage	11.0%
honors / barActivity	10.0% / 10.5%	practiceAreaSplit / focusAreas	8.5% / 7.5%
firstAdmittedYear	11.5%	certifications / verdictsAndSettlements	6.0% / 5.0%

B. Directory search — 150 attorneys, family-law + criminal-defense in Austin and Houston. The directory ranks upgraded profiles higher, so the same fields come back far denser:

professionalWebpage 42.7% · practiceAreaSplit 32.7% · focusAreas 31.3% · honors 32.7% · barActivity 36.0% · otherEducation 36.7% · socialProfiles 54.0% · firstAdmittedYear 44.7% — with contact data unchanged at 99.3% phone, 94.7% website, 100% address.

C. The 100-row Rhode Island run — the 100 Rhode Island personal-injury attorneys you get by pressing Start, measured 2026-08-13, so you can reproduce it before you spend anything:

phone, street, city, zip, latitude, practiceAreas, badges, languages, contactFormUrl, firmName, firmProfileUrl, otherDirectoryProfiles, totalYearsSelected, firstSelectionYear, latestSelectionYear 100% · lawSchool, licensedSinceYear, yearsLicensed 99.0% · website 95.0% · superLawyersYears 73.0% · currentlySelected 71.0% · risingStarsYears 49.0% · firstAdmittedYear 34.0% · professionalWebpage 33.0% · barActivity 28.0% · otherEducation 26.0% · honors / socialProfiles 24.0% · practiceAreaSplit 22.0% · focusAreas 19.0% · proBono / scholarlyLectures 12.0% · verdictsAndSettlements 11.0% · certifications 6.0% · industryGroups 4.0%

What this means in practice: the lead fields — name, firm, phone, address, practice areas, year licensed, law school, and the selection history — are effectively complete no matter how you crawl. The depth fields (verdicts, honors, bar activity, practice-area percentages) are an upgraded-profile feature and are sparse in a representative sample. Turn includeAchievements off if you do not want mostly-empty arrays on your rows — it costs nothing either way.

Every run prints its own measured fill in the log.

Roster order is not random — and you get to choose

The per-state roster file is ordered by profile tier. Measured on California's 27,420 attorneys, 25 profiles from each position:

Position in the roster	Achievements block	practiceAreaSplit	socialProfiles	website
First 25	92%	100%	52%	96%
Even spread across the file	8%	8%	12%	92%
Last 25	0%	0%	12%	88%

So "the first 500 attorneys in California" is the rich end of the roster, not a sample of the state. rosterOrder: "richestFirst" (the default) gives you the deepest rows; "spread" walks an even stride across the whole file and gives you a genuine cross-section, small towns included. Contact quality barely moves either way.

⚙️ Input

Fields in the order they appear in the Console.

Field	Type	Default	What it does
source	select	directory	directory (practice area × state × city), stateRoster (every attorney in a state), or profileUrls. Same price per attorney on all three.
practiceAreas	multi-select	["personal-injury-plaintiff"]	All 140 practice areas the site publishes, as a dropdown — no slugs to type. Each place is crawled once per area.
states	multi-select	["rhode-island"]	50 states + DC, each labelled with its measured roster size.
cities	list	—	Directory only. austin, texas/austin or Austin, TX. Leave empty and a state page is expanded into its city listings automatically.
rosterOrder	select	richestFirst	State roster only — richestFirst or spread. See the roster-order table above.
profileUrls	list	—	Used when source is profileUrls. /lawfirm/ URLs are rejected.
selectionType	select	any	any, superLawyers or risingStars. Either single-list cut roughly halves the rows returned; the Actor fetches more profiles to fill your quota at no extra charge.
currentSelectionsOnly	boolean	false	Keep only attorneys on the list that is live now, read against selectionType — with risingStars it means currently a Rising Star, not merely currently selected to something.
minYearsSelected	number	0	1–2 for the newly-selected cohort, 10+ for established partners.
minYearsLicensed	number	0	From the "Licensed in
withPhoneOnly	boolean	true	On by default. Phone measured 100% / 99.3%, so it normally removes nothing.
withWebsiteOnly	boolean	false	Website is 95–96.5%, so this removes about 1 row in 25.
includeAchievements	boolean	true	Honors, bar activity, certifications, industry groups, verdicts, pro bono, lectures and other education — eight arrays. Sparse outside upgraded profiles. Off drops the row from 61 fields to 53. No effect on price or run time.
includeBiography	boolean	false	The attorney's full self-written bio. Off by default — it is long. No effect on price or run time.
maxItems	number	100 (prefilled 25)	Your hard cost cap. 100 rows = $0.30; the prefilled first click is 25 rows ≈ $0.08.
maxPagesPerListing	number	20	Directory only. 25 attorneys per page. Listing pages are not charged.
maxConcurrency	number	2	2 is measured-optimal; 3–4 trades errors for speed.
proxyConfiguration	proxy	Apify RESIDENTIAL	Required. Datacentre exits measured 0/20. Leave it alone.

💰 Pricing

$0.003 per attorney returned — $3 per 1,000. Charged on the attorney-scraped event. No monthly platform fee from this Actor.

Run	Attorneys	Cost
The prefilled demo (press Start)	25	$0.08
The same demo with maxItems raised	100	$0.30
A practice area in one metro	500	$1.50
A serious lead list	1,000	$3.00
Whole Rhode Island roster (619)	619	$1.86
Whole Texas roster (15,888)	15,888	$47.66
Whole California roster (27,420)	27,420	$82.26
Every attorney in the directory (201,215)	201,215	$603.65

What you are not charged for:

• Rows your filters removed. A profile that was fetched and then dropped by currentSelectionsOnly, minYearsSelected, withPhoneOnly or any other filter is free. A narrow filter costs the Actor fetches and you time — not money.
• The same attorney twice. Deduplication happens on the profile UUID before anything is fetched. On the 100-row Rhode Island run that removed 2,400 repeat listing cards before they cost you anything.
• Listing pages, roster files, retries, Cloudflare mints or blocked requests. Only attorneys delivered to your dataset are billed.

Rows are charged as they are pushed (Actor.pushData(items, 'attorney-scraped')), so if you hit a budget cap you get whole rows and stop, never a half-billed dataset. maxItems is your cost dial.

🚧 Honest limits

• No email addresses. Super Lawyers publishes none, for anyone — nobody can scrape one from this site. Every row instead carries contactFormUrl (that attorney's own contact form), website at 95–96.5% and firmProfileUrl at 100% if you want to enrich the domain yourself.
• This is a selectee directory, not a bar roll. 201,215 attorneys is roughly the top 5% who made a list, not every licensed attorney. If you need complete coverage of who is licensed, use a state bar registry — our California State Bar scraper does that job.
• The Achievements fields are an upgrade feature and are ~10% filled in a representative statewide sample (certifications 6.0%, verdictsAndSettlements 5.0%). Read the fill tables before you build a workflow that depends on verdicts or honors.
• A single-list filter halves your rows. 65.5% of a representative sample are Super Lawyers, 54.5% Rising Stars, 58.5% currently selected. The Actor over-fetches to fill your quota, which costs time, not money.
• currentlySelected is a definition, not a guess: the attorney's most recent selection year is the current calendar year or later. Super Lawyers labels each list with the year it runs in, so "latest >= this year" is exactly "on the live list". latestSelectionYear is on every row if you want a different cut-off.
• The proxy is mandatory. Turning it off does not slow the crawl down, it ends it — datacentre exits measured 0/20. RESIDENTIAL is prefilled; leave it.
• Directory listings show attorneys serving a city, drawn from the surrounding region, so a row's own city is the attorney's actual office and may be a nearby town. The row tells you which; the listing does not.
• US only. 50 states plus Washington DC. There is no national, Canadian or other non-US roster.
• No login, no API key, no CAPTCHA solving service. Nothing here is behind a paywall or an account.

🔧 How it works (technical)

The route is: mint a Cloudflare session on the challenge-exempt sitemap path → walk either the directory listings or the state roster file → dedupe on the profile UUID → fetch each profile once → read the JSON-LD Attorney block, its additionalProperty selection entries and the HTML Achievements tab → filter → push.

The wall, and the ladder that beat it

Every superlawyers.com host sits behind Cloudflare bot management. A request from a datacentre IP comes back HTTP 403 with cf-mitigated: challenge. The full ladder, measured 2026-08-12, 20 profile fetches per rung through Apify:

Transport	Result
Direct from the build machine (residential ISP) — not a shippable rung, no Apify container has a residential IP	20/20 — and completely misleading
Apify datacentre, rotating sessions	0/20 — 403
Apify datacentre, pinned session + cookie jar	0/20 — 403
Apify RESIDENTIAL, rotating sessions	6/20 — 403 on the rest
Apify RESIDENTIAL, pinned session + cookie jar, no mint	0/20 — 403
Apify RESIDENTIAL + a cookie minted on the sitemap path	20/20 = 100%

The way through. The /gsm/*.xml.gz sitemap paths are exempted from the challenge worker at the edge — the response header says so outright (cf-debug-worker-skip-sitemaps-and-xml: Ran). Fetching one mints a __cf_bm bot-management cookie scoped to Domain=superlawyers.com, valid on profiles. and attorneys.. Replaying that cookie from the same exit IP clears the challenge on ordinary profile and directory pages.

Not every residential exit IP can mint one — a share of any pool is already flagged by Cloudflare and answers 403 even on the sitemap path (measured: 1 to 11 attempts to find a usable exit, typically 1–2). The Actor rotates the proxy session until it gets a clean one, and re-mints automatically if it is challenged mid-crawl.

It is rate limited, so it is paced

Past roughly two requests a second per exit IP the edge answers HTTP 429 rather than 403 — a rate limit, not a block, and it clears on its own. Measured on one minted session:

Pace	Result
1 worker, 700 ms	20/20 = 100%
2 workers, 500 ms	20/20 = 100%
3 workers, 300 ms	18/25 — 7× HTTP 429
4 workers, 200 ms	22/25 — 3× HTTP 429

So the Actor paces itself, and a 429 permanently eases the pace for the rest of the run rather than retrying into the same wall. maxConcurrency sets how many fetches may be in flight; 2 is the measured sweet spot. Expect roughly 1,000–1,500 attorneys per hour; a 100-row demo took 2 minutes 57 seconds including 104 listing pages.

Sustained validation, all of it through Apify RESIDENTIAL: nine end-to-end runs, 859 content requests, 859 successes = 100%, 0 rows lost. Along the way the transport absorbed 8 rate-limit pauses and 2 mid-crawl challenges internally, and rotated past 25 flagged exit IPs while minting. The largest single run: 201 profile pages + 4 roster files, 0 failures.

State-level URLs are browse pages, not result pages

Only the deepest directory URL — practice area + state + city — actually lists attorneys. /estate-planning-and-probate/montana/ renders an index of the 15 Montana cities and no attorneys at all. The Actor detects that and expands the page into its children automatically (capped at two levels, so practice-area → state → city, and a typo can never start a crawl of the whole site). You can therefore ask for a state and get attorneys, which the site itself will not do for you. Dropping cities from the prefilled input does exactly this: /personal-injury-plaintiff/rhode-island/ expands into its 49 city listings.

Because a listing shows attorneys serving a city, those 49 listings hold only 118 unique attorneys between them — the first town already has nearly all of them. So enumeration stops once six listings in a row add nobody new, instead of paying for ~100 more paced page fetches that return people you already have. Widen the search (another practice area, state or city) or use source: "stateRoster" when you want the rest of the state.

The run stops itself before the platform does

Every run reads its own time limit and stops collecting early enough to fetch and save what it already queued, then exits Succeeded with a status message saying how many rows it got. You get a partial dataset with a note instead of a killed run and an empty one. Raise the timeout under Input → Run options (or lower maxItems) when you want the full set in one pass.

🔁 Duplicates: measured on contiguous pages, not sparse ones

Every attorney is deduplicated on their profile UUID before anything is fetched, so the dataset — and your bill — never holds the same person twice. The duplicate rate at the listing level is real and route-dependent, and it was measured by walking pages back to back:

Route	Walked	Rows	Unique	Duplicates
/family-law/texas/austin/ pages 1–9	9 contiguous pages	206	188	8.7%
/personal-injury-plaintiff/rhode-island/providence/ pages 1–5	5 contiguous pages	119	119	0.0%
/personal-injury-plaintiff/rhode-island/ expanded to all 49 cities (the 100-row Rhode Island run)	104 contiguous pages	2,519	119	95.3%
/estate-planning-and-probate/montana/ expanded to all 15 cities	36 contiguous pages	128	25	80.5%
State roster, Rhode Island	whole file	619	619	0.0%
State roster, 4 states sampled	4 files	230	230	0.0%
All 51 state rosters	51 files	201,215	201,215	0.0%

Two different mechanisms, both real:

• The 8.7% is promoted poap cards repeating on pages 2 and 3 of a paid-placement-heavy listing — 17 of the 17 duplicates were that card type. Sparse-offset sampling would never have surfaced it.
• The 95.3% and 80.5% are what happens when a whole state gets expanded into its cities: the listings show attorneys serving a city, so one Missoula lawyer legitimately appears under Corvallis, Florence, Hamilton, Lolo, Ronan and Stevensville too. Nothing is wrong with the site or the crawl — but a scraper that did not dedupe would have billed you 2,519 times for 119 people on the 100-row Rhode Island run alone.

Across runs, the rosters are stable and the UUID is the key: keep the profileId column and diff it. Two runs of the same scope return the same people, not new IDs for the same person.

🚨 When a run fails

This Actor fails loudly instead of returning a quiet empty dataset:

• 0 attorney links found → the run throws with the page count and a list of the exact slug spellings the site uses. The usual cause is a city slug the site does not have.
• 0 rows emitted → the run throws and tells you which of the four causes it was: your filters removed everything, Cloudflare held (with the blocked/fetched counts), profiles were dead, or the page template changed.
• More than 20% of fetched pages parse to nothing → the run throws rather than shipping a degraded extraction. That is what a template change looks like and it should not be billed as a good run.
• More than 25% of fetches blocked → the run warns loudly, keeps the good rows, and tells you to re-run for the rest.
• A non-state in states, or a /lawfirm/ URL in profileUrls → error before any fetch.
• There is no legitimate zero-row run for this Actor. A green run always has rows.

⚖️ How this differs from our other lawyer scrapers

Actor	Source	Why you would use it instead
Super Lawyers Scraper (this one)	superlawyers.com	Peer-selection signal. The only one with selection years, Rising Stars, and "is this lawyer on the list right now".
Avvo Scraper	avvo.com	The Avvo Rating (1–10) and client review scores — consumer-facing reputation, not peer selection.
California State Bar Attorney Scraper	State Bar of California	The licence record: bar number, status, discipline. Every licensed CA attorney, selectee or not.
Justia Lawyer Directory Scraper	Justia / Cornell LII	Broad claimed-profile coverage with client ratings, sub-practice-area trees and fee terms. Widest net for volume.
Martindale-Hubbell Attorney Scraper	martindale.com	The AV Preeminent peer rating with its sub-scores and the ISLN.
New York State Bar Attorney Scraper	NYS registration database	Registration number, admission year, status, firm head-count.

The wedge here is the award, not the coverage. A Justia or state-bar row tells you a lawyer exists and how to reach them. A Super Lawyers row tells you they were voted into the top 5% of their state, in which years, and whether that is still true — the difference between a list of lawyers and a list of lawyers with a reason to buy something this quarter.

Everything we publish: apify.com/scrapersdelight.

❓ FAQ

Can I get the attorney's email address? No, and no one can from this source: Super Lawyers publishes no email address for any attorney. Each row carries contactFormUrl (their own contact form), phone at 100%, website at 95–96.5% and firmProfileUrl at 100% — enrich the domain elsewhere if you need mailboxes.

Does it need an account or a login? No. It reads only pages the site publishes for crawlers. No login, no API key, no CAPTCHA solving.

Do I need a proxy? Yes — Apify Proxy with the RESIDENTIAL group, and it is prefilled. Datacentre exits returned 403 on 20 of 20 measured requests. Running with the proxy off ends the run rather than slowing it.

How many attorneys can I get in total? 201,215 across the 50 states and DC, measured 2026-08-12 by reading all 51 roster files. The biggest single market is California at 27,420.

Will two runs give me duplicates? Not within a run — attorneys are deduplicated on their profile UUID before they are fetched, so you are never billed twice for the same person. Across runs, the profileId is stable, so diff on it.

Do I get charged for rows my filters throw away? No. Only attorneys delivered to your dataset are charged, at $0.003 each. Fetches, listing pages, retries and filtered-out profiles are free.

How do I get only the lawyers who made the list this year? Set currentSelectionsOnly: true. To find the ones who made it for the first time, add minYearsSelected: 1 and read firstSelectionYear on the row.

What is the difference between Super Lawyers and Rising Stars? Super Lawyers is the main list, capped at the top 5% of lawyers in a state. Rising Stars is the list for lawyers under 40 or in practice ten years or less, capped at the top 2.5%. A lawyer can be on both over their career — 22 of the 100 rows on the 100-row Rhode Island run were.

Why did a run return fewer rows than maxItems? Because that scope ran out of attorneys. Rhode Island personal injury only has 119 published attorneys in total, so a 500-row request returns 119 and says so in the log. Add cities, practice areas or states, or switch to a state roster.

Can I scrape a whole state? Yes — set source: "stateRoster" and pick the state; the label in the dropdown tells you how many attorneys are in it. Use rosterOrder: "spread" for a representative cross-section rather than the upgraded profiles at the front of the file.

Can I schedule it? Yes, with an Apify Schedule. Selection lists refresh annually, so a monthly run is enough to catch new selectees and lapses.

Something looks wrong — how do I debug it? Read the run log: it prints the enumeration counts, the duplicate rate, the per-field fill and the transport stats (mints, flagged exits, rate-limit pauses) for that exact run. If rows dried up mid-run the log names which of the four causes it was.

⚠️ Disclaimer

Super Lawyers® is a trademark of Thomson Reuters. This Actor is not affiliated with, endorsed by, or sponsored by Super Lawyers or Thomson Reuters.

It reads only public directory pages that Super Lawyers publishes for crawlers — including the roster sitemaps the site advertises for that purpose — and it does not log in, does not solve CAPTCHAs, and collects no data behind any authentication. The crawl is deliberately paced well below the rate the site rate-limits at.

Rows describe named individuals and are personal data. You are responsible for complying with Super Lawyers' terms and with how you use the data — GDPR/CCPA, CAN-SPAM, and state bar attorney advertising and solicitation rules may all apply to your outreach.

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