Build a B2B lead list from Google Maps

The problem

Buying a generic lead list gets you data that's months stale and shared with every other buyer. Building one by hand — opening Google Maps, copying each listing, looking up the website, finding the contact page — takes a full day per 100 leads, and the moment you finish, half the rows already need updating.

The fastest source of truth for "every plumber in Brooklyn" or "every dental clinic in Bristol" is Google Maps itself. The problem is just turning that into a structured CSV your SDRs can actually load into HubSpot, Apollo or Outreach. That's exactly what this workflow does.

How it works in Livescraper

1
Pick a category and a region
Add one or more categories (e.g. "dentist", "law firm", "auto repair") plus the cities, states or countries you want to cover. You can paste a list of cities — Livescraper expands the cross-product automatically.
2
Turn on Email & Contact enrichment
Tick the "Email & Contact Scraper" checkbox on the task. Livescraper visits each website found on Google Maps and pulls deliverable emails, phone numbers, and social profiles in the same job.
3
Choose your output format
XLSX, CSV, or JSON. Most teams pick CSV for direct CRM import; engineers pick JSON for pipelines.
4
Run — typically minutes, not hours
A 2,000-row category in a single city usually completes in 5–15 minutes. You can watch progress live, or close the tab and pick up the file when the task finishes (we email a download link too).
5
Import to your CRM
Map "name → Company", "first_email → Email", "phone → Phone", "category → Industry". Most teams build a saved mapping once and reuse it for every weekly pull.

Worked example

A San Francisco SaaS team wanted every independent dental clinic in Los Angeles County. They set category = dentist, region = Los Angeles County, CA, enabled email enrichment, and ran the task. 2,847 rows returned in 12 minutes: business name, address, phone, website, rating, review count, plus a deliverable email for 71% of rows. Cost: ~$5.69 at $0.002/row. Compared to buying from a list broker (typically $0.30–$1.00/row for stale data), that's 50–175× cheaper and the data is hours-fresh.

What you get back

One row per business. From Google Maps Data Scraper you get:

✓Identity: business_name, place_id, google_id, place_cid, google_place_url
✓Location: full_address, street, city, state, postal_code, country, country_code, latitude, longitude, timezone
✓Contact (Maps): business_phone, business_website
✓Categorisation: type, sub_types, category
✓Reputation: average_rating, total_reviews, reviews_per_score_1..5, price_range, working_hours
✓Status / verification: business_status, is_verified, owner_title, owner_link

With Email & Contact Scraper enabled on the same task, each row also includes:

✓Emails: email_1, email_2, email_3, all_emails
✓Phones: phone_1, phone_2, phone_3, all_phones
✓Socials: facebook, twitter, instagram, youtube, linkedin
✓Site meta: host, domain_status, contact_page, website_title, website_built_with

Email deliverability typically lands in the 60–80% range — Livescraper finds the inbox on the business website rather than guessing patterns, so what you get tends to actually accept mail.

business_name	category	business_phone	email_1	average_rating	city
Beverly Hills Dental Care	dentist	+1-310-555-0142	info@bhdentalcare.com	4.8	Beverly Hills
Westside Family Dentistry	dentist	+1-323-555-0178	hello@westsidedental.com	4.6	Los Angeles
Pacific Smile Studios	dentist	+1-310-555-0203	contact@pacificsmile.com	4.9	Santa Monica

Sample rows · not a real query result · your data will be richer

Best for / Not for

Best for

Outbound SDR teams targeting local businesses
Agencies prospecting clients by industry and city
Sales ops building seed lists for an ICP test
Anyone replacing a stale, expensive broker list

Not for

Enterprise companies (use LinkedIn-based tools for tech buyers)
Targeting individuals at large multi-location companies
Industries with no website presence (e.g. residential trades in small towns)

FAQ

How fresh is the data?

Each task pulls live from Google Maps and the businesses' own websites at the moment you run it. There's no cache or stale index — the data you get is what's on Google right now.

What's the email deliverability rate?

In our customers' tests, 60–80% of rows come back with a deliverable email. We extract emails from the business website itself (not pattern-guess them like firstname@), so bounce rates tend to be substantially lower than common B2B databases.

Can I run this for multiple cities at once?

Yes — paste a list of cities in the query field and we expand the cross-product (category × city) automatically. A 50-city run for one category typically returns 30,000–150,000 rows depending on category density.

How does this compare to ZoomInfo or Apollo?

Different tool for a different job. ZoomInfo/Apollo are best for tech buyers at large companies (you want LinkedIn-based people data). Livescraper is best for local businesses, service businesses, restaurants, retailers — anyone whose Google Maps presence is the first source of truth about them.

Will my account get blocked by Google?

No. Livescraper handles all the rate-limiting, IP rotation and bot-mitigation on our side. From your end, it's an API call — no captchas, no blocks. We've been doing this since 2020 across millions of queries.