FindLaw Lawyer Directory Scraper [Just 💰$0.81]

What does FindLaw Lawyer Directory Scraper do?

FindLaw Lawyer Directory Scraper extracts structured record data from findlaw.com — including contact details, full descriptions, prices, location data, and seller ratings. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and contact information) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• ⭐ Ratings and review counts: rating and reviews for every record that has them.
• 📍 Coordinates: latitude and longitude on each record that has a location, ready for a map.
• 🏘️ Address: address as separate fields for every record that lists them.
• 📇 Contact details: phone, website and contactEmail where the record publishes them.
• 💲 Price level: priceRange show how expensive each record is.
• 🥇 Ranking and badges: awards as findlaw.com shows them on each record.
• 🔍 Keyword search: search findlaw.com by keyword with the query input, in the place you name in location.
• 🔗 Paste-mode: paste findlaw.com URLs into startUrls to scrape exactly the pages you picked in the browser.
• 📋 Detail enrichment: toggle two-stage scraping: first collect listings, then enrich each with full description + detail-page-only fields. Off by default to keep runs fast; flip on when you need the deep payload.
• ♻️ Incremental mode: recurring runs emit only directory entries that are new or updated — keep your supplier-outreach lists fresh without re-fetching the full directory. Saves 80–95% on weekly syncs.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.

What data can you extract from findlaw.com?

Each result includes Core record fields (name, title, address, addressFormatted, website, rating, reviews, and profileUrl, and more), detail fields when enrichment is enabled (description, descriptionMarkdown, and detailFetched), and contact information (phone, extractedEmails, and extractedPhones). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Practice-area slug as used by the directory, e.g. divorce, family-law, personal-injury, criminal-law, bankruptcy. Use a JSON array for several areas (e.g. ["divorce","bankruptcy"]). Required if no startUrls provided.
• location — state/city slug, e.g. california/san-francisco. A bare state (e.g. california) expands to every city page in that state. Use a JSON array for several locations.
• country — Country code of the directory. FindLaw covers the US only; leave the default. (default: "US")
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• startUrls — Paste raw directory listing URLs (e.g. https://lawyers.findlaw.com/divorce/california/alameda/) or firm profile URLs (e.g. https://lawyers.findlaw.com/california/san-francisco/hopper-hopper-strebe-NTM5NDI0MV8x/) to get exactly those firms. Each URL becomes its own search task; results are merged and deduped by firm ID across all URLs. When provided, startUrls REPLACE the practice-area/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• includeDetails — Fetch each firm's profile page for description, practice areas, attorneys, awards, payment methods and recent reviews. (default: true)
• enrichEmails — Visit each firm's own website (homepage and contact pages) and add the email addresses found there as contactEmail and websiteEmails. Off by default; it adds a few page loads per firm. (default: false)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• descriptionFormat — Pick a single description representation. all keeps every variant; text / html / markdown drop the others. (default: "all")
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state. (default: false)
• ...and 17 more parameters

Input examples

Basic search — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "divorce",
  "location": "california/san-francisco",
  "maxResults": 50
}

Incremental tracking — Only emit records that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "divorce",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "divorce-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "divorce",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured record records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example record record

{
  "name": "Hopper Hopper Strebe",
  "title": "Hopper Hopper Strebe",
  "address": {
    "street": "100 Pine Street, Suite 1250",
    "city": "San Francisco",
    "state": "CA",
    "zip": "94111",
    "country": "US"
  },
  "addressFormatted": "100 Pine Street, Suite 1250, San Francisco, CA, 94111",
  "phone": "916-964-2204",
  "website": "https://westcoastdivorce.com/",
  "profileUrl": "https://lawyers.findlaw.com/california/san-francisco/hopper-hopper-strebe-NTM5NDI0MV8x/",
  "portalUrl": "https://lawyers.findlaw.com/california/san-francisco/hopper-hopper-strebe-NTM5NDI0MV8x/",
  "image": "https://lawyers.findlaw.com/static/c/images/env_prod/type_thumbnail/h_100/w_100/firmwld_5394241/pid_1/hopper_hopper_strebe",
  "listingKey": "NTM5NDI0MV8x",
  "wldId": "5394241_1",
  "recordType": "firm",
  "location": "San Francisco, CA",
  "latitude": 37.7929039,
  "longitude": -122.4009705,
  "listingPosition": 1,
  "sourceUrl": "https://lawyers.findlaw.com/divorce/california/san-francisco/",
  "practiceArea": "divorce",
  "legalName": "Hopper Hopper Strebe",
  "description": "Find Hopper Hopper Strebe, a San Francisco, California (CA) Law Firm focused on Divorce, Family Law, Child Custody, etc.",
  "descriptionMarkdown": "Find Hopper Hopper Strebe, a San Francisco, California (CA) Law Firm focused on Divorce, Family Law, Child Custody, etc.",
  "practiceAreas": [
    "Divorce",
    "Family Law",
    "Child Custody",
    "Child Support",
    "Domestic Abuse",
    "... 4 more items"
  ],
  "websites": [
    "https://westcoastdivorce.com/"
  ],
  "areaServed": [
    "California"
  ],
  "priceRange": "Varies based on case specifics",
  "currenciesAccepted": "USD",
  "paymentMethods": [
    "CreditCard"
  ],
  "mapUrl": "https://www.google.com/maps?q=Hopper+Hopper+Strebe+100+Pine+Street+Suite+1250+San+Francisco+CA+94111",
  "imageLarge": "https://lawyers.findlaw.com/static/c/images/env_prod/type_profile/ogimage_1/firmwld_5394241/pid_1/hopper_hopper_strebe.jpg",
  "offices": [
    {
      "name": "Hopper Hopper Strebe - Main Office",
      "phone": "+1-916-964-2204"
    },
    {
      "name": "Hopper Hopper Strebe - Roseville Office",
      "phone": "916-964-2204"
    },
    {
      "name": "Hopper Hopper Strebe - El Dorado Hills Office",
      "phone": "916-964-2204"
    },
    {
      "name": "Hopper Hopper Strebe - San Francisco Office",
      "phone": "916-964-2204"
    }
  ],
  "profileUpdatedAt": "2026-09-24T18:51:47.494+00:00",
  "listingId": "e27c17035155b938019061de962137b86121ad483ce2cee9da9c495c69c19080",
  "searchQuery": "divorce",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-10-19T03:02:26.016Z",
  "source": "findlaw.com"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape findlaw.com

1. Go to FindLaw Lawyer Directory Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract record data from findlaw.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed records on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape findlaw.com?

FindLaw Lawyer Directory Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.00081 per record

Example costs:

• 10 results: $0.018
• 25 results: $0.03
• 100 results: $0.091
• 200 results: $0.17
• 500 results: $0.41

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of records that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 records per run, daily polling (30 runs/month). Costs scale linearly with the number of records.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.02	$0.19 (91%)	$0.60
15% — moderate broad query	$0.21	$0.04	$0.17 (81%)	$1.21
30% — high-volume aggregator	$0.21	$0.07	$0.14 (67%)	$2.12

Full re-scrape monthly cost at the same cadence: $6.38. First month with incremental costs $0.80 / $1.38 / $2.26 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from findlaw.com?

The number of results depends on the search query and available records on findlaw.com. Use the maxResults parameter to control how many results are returned per run.

Does FindLaw Lawyer Directory Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed records on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate FindLaw Lawyer Directory Scraper with other apps?

Yes. FindLaw Lawyer Directory Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use FindLaw Lawyer Directory Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use FindLaw Lawyer Directory Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape findlaw.com?

This actor extracts publicly available data from findlaw.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on findlaw.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with FindLaw Lawyer Directory's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by FindLaw Lawyer Directory or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Search keywords

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