How do I connect Webhooks to Scrapernode?

Add your endpoint URL in Scrapernode's webhook settings. Scrapernode sends an HTTP POST with the full JSON payload when jobs complete. Verify delivery with a test scrape first.

What Martindale lawyer directory data fields are sent to Webhooks?

All 22 output fields from the Martindale Lawyer Directory scraper are included: url, name, address, location, admission, areas_of_practice, and more. The full payload is sent as structured JSON — no fields are filtered out.

Can I schedule recurring Martindale scrapes to Webhooks?

Yes. Use the Scrapernode REST API to create scraping jobs programmatically on any schedule. Results are automatically delivered to Webhooks when each job completes.

How much does it cost to scrape Martindale lawyer directory into Webhooks?

Each lawyer directory record costs 1 credit. Credits start at $9 for 3,000 credits (Starter plan). The Webhooks integration itself is included free — no additional charges for data delivery.

What happens if the Webhooks delivery fails?

Scrapernode retries webhook deliveries with exponential backoff. Failed deliveries are logged and can be manually re-triggered from the job details page. Your scraped data is always available for download even if webhook delivery fails.

MartindaleWebhooks

How to Scrape Martindale Lawyer Directory into Webhooks

Extract lawyer directory data from Martindale and deliver via Webhooks automatically

Step-by-step guide

Choose the Martindale Lawyer Directory scraper

Navigate to the Martindale Lawyer Directory scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

Set up your Webhooks connection

Add your endpoint URL in the Scrapernode webhook settings. Each completed job sends a POST request with the full JSON payload, including all output fields and metadata.

Provide your Martindale input URLs

Paste the Martindale URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content pages.

Launch the scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

Receive data in Webhooks

When the job completes, Scrapernode delivers the full JSON payload to your endpoint. Each record includes 22 structured fields like url, name, address, location. Parse the payload in your application and process the data as needed.

Cost per record

1 credit

Output fields

22 fields

Destination

Webhooks

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

Name

Sarah Chen

Address

600 Guerrero St, San Francisco, CA 94110

Location

San Francisco, CA

Admission

sample_admission

Areas Of Practice

sample_areas_of_practice

Isln

sample_isln

Law School Attended

sample_law_school_attended

Practice Count

1,000

Type

sample_type

Firm Name

sample_firm_name

Phone

(415) 555-0198

sample_email

Peer Review Rating

sample_peer_review_rating

Profile Peer Review Detail

sample_profile_peer_review_detail

Biography

sample_biography

Memberships

sample_memberships

Website

https://stripe.com

Languages

Array [2]

Object {2}

title:"English"

subtitle:"Native"

Object {2}

title:"Mandarin"

subtitle:"Professional working"

Honors Awards

sample_honors_awards

Video Call

sample_video_call

Input Url

https://www.linkedin.com/in/sarahchen

Data Dictionary

22 fields returned per record

Web link to the lawyer's profile (100.00% fill rate)

Full name of the lawyer (99.90% fill rate)

Office location address (95.23% fill rate)

Office region/city (99.87% fill rate)

Bar association admission (86.16% fill rate)

Legal practice areas (65.76% fill rate)

Lawyer unique identifier (87.79% fill rate)

Law school attended (59.77% fill rate)

Years practicing law (69.77% fill rate)

Lawyer type (Attorney, etc.) (99.87% fill rate)

Name of the law firm (82.14% fill rate)

Contact phone number (91.23% fill rate)

Contact email address (12.45% fill rate)

Martindale-Hubbell peer review rating (45.32% fill rate)

Sub-fields

ratingTextPeer review rating (AV, BV, etc.)

yearNumberYear the rating was awarded

Detailed peer review feedback (15.43% fill rate)

Sub-fields

ratingNumberPeer feedback rating

titleTextPeer feedback title

Professional biography summary (3.08% fill rate)

Professional memberships (8.23% fill rate)

Official website link (4.75% fill rate)

Languages spoken (18.45% fill rate)

Honors and awards received (22.34% fill rate)

Video conference availability options (0.93% fill rate)

The URL that was entered when starting the scraping process (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Martindale Lawyer Directory into Webhooks

Ready to connect Martindale data to Webhooks?

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No code requiredAuto-delivery to Webhooks22 data fields