How do I connect Google Sheets to Scrapernode?

Connect your Google account in Scrapernode's integration settings, then select the target spreadsheet and sheet. Scrapernode auto-maps scraper output fields to columns.

What Martindale lawyer directory data fields are sent to Google Sheets?

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 Google Sheets?

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

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

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

What happens if the Google Sheets delivery fails?

Your scraped data is always stored in Scrapernode regardless of the integration status. If delivery to Google Sheets fails, you can re-trigger the sync or download results manually as CSV or JSON from the job details page.

MartindaleGoogle Sheets

How to Scrape Martindale Lawyer Directory into Google Sheets

Extract lawyer directory data from Martindale and sync to Google Sheets 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 Google Sheets connection

Connect your Google account and select the target spreadsheet. Scrapernode will auto-create columns matching the scraper's output fields and append new rows as data arrives.

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 Google Sheets

Once the job completes, results are automatically synced to your spreadsheet. Each row contains one record with 22 structured fields like url, name, address, location, and more. New jobs append additional rows automatically.

Cost per record

1 credit

Output fields

22 fields

Destination

Google Sheets

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 Google Sheets

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No code requiredAuto-delivery to Google Sheets22 data fields