Google Maps Leads vs LinkedIn Company Scraper: Two Approaches to B2B Prospecting

“B2B prospecting” covers two genuinely different problems depending on what kind of company you’re targeting. If you’re selling to physical, local businesses — plumbers, dental practices, restaurants, agencies with a storefront or a service area — Google Maps is where they all already are, with an address, a phone number, and often an email you can verify. If you’re selling to companies as organizations regardless of where they’re physically located — SaaS vendors, enterprise software teams, anyone you’d research before an ABM campaign — LinkedIn is where the firmographic truth lives, and Google Maps mostly doesn’t have those companies at all.

Google Maps Leads Scraper and LinkedIn Company Scraper are built for these two different jobs. Neither replaces the other; picking the wrong one for your target market wastes the run.

What Each Actor Actually Returns

Maps Leads takes a search query — category plus location — and returns business name, category, address, phone, website, an MX-verified email, Google Maps rating, review count, opening hours, coordinates, and operational status.

LinkedIn Company Scraper takes a list of LinkedIn company URLs and returns name, tagline, industry, employee-count range, headquarters, founded year, website, follower count, an about description, and specialties.

Field type	Maps Leads	LinkedIn Company Scraper
Contact email	Yes, MX-verified	No — not returned at all
Phone number	Yes	No
Physical address	Full street address + coordinates	Headquarters city only
Employee count	No	Yes (banded range)
Industry classification	Category (e.g. “Plumber”)	Industry taxonomy (e.g. “Research Services”)
Founded year	No	Yes
Follower / social signal	No	LinkedIn followers
Customer rating	Google rating + review count	No
Discovery method	Search query (category + location)	Requires a known company URL per target

That last row is the structural difference underneath all the others. Maps Leads is a discovery tool — you give it a query and it finds businesses you didn’t already know about. LinkedIn Company Scraper is an enrichment tool — it needs a specific company URL as input, so you already have to know (or separately discover) which companies you’re targeting before you can run it.

The Email Gap

This is the single biggest practical difference. Maps Leads verifies and hands you an email as its core output — that’s the whole premise of the actor, down to its pricing model, which only charges for leads that clear an MX check. LinkedIn Company Scraper does not return an email at all; LinkedIn’s public company pages simply don’t expose one; the actor returns firmographics, not contact data.

If your workflow is “find a company, then email someone there,” LinkedIn Company Scraper gets you the firmographic context (is this company big enough, in the right industry, growing) but leaves the actual outreach channel to a separate tool — either Maps Leads if the company happens to have a physical Google Maps presence, or a people-level scraper for named contacts at the company.

When Maps Leads Wins

Any campaign targeting local, physical, or service-area businesses should start with Maps Leads, not LinkedIn. A huge share of small and mid-size local businesses — independent contractors, single-location retail, regional service providers — either don’t maintain an active LinkedIn company page or maintain one so sparsely it’s not worth scraping. Google Maps, on the other hand, is close to universal for anything with a storefront, a service van, or a booking calendar. If you’re selling point-of-sale systems to restaurants, software to dental practices, or ad services to local agencies, Maps Leads’ combination of geo-targeted discovery and verified email in one pass is the more direct path to a send-ready list.

When LinkedIn Company Scraper Wins

Anything selling to companies as organizations, independent of physical location — SaaS, enterprise software, remote-first companies, anyone whose customer is “companies in the fintech space with 50-200 employees” rather than “businesses in a specific city” — needs firmographic filtering Maps Leads doesn’t provide. Employee-count bands, industry taxonomy, and founded year let you build a target list that matches an ideal customer profile before you spend a single outreach credit. A company with no storefront and no Google Maps listing (which describes most B2B SaaS companies) may not show up in Maps Leads at all, no matter how you phrase the search query.

Running Both Together

The two tools chain cleanly in either direction, depending on where your list starts.

Maps Leads → LinkedIn enrichment. If Maps Leads surfaces a business worth a closer look — high rating, high review count, clearly growing — pull its LinkedIn company URL (often listed on the business website Maps Leads already returned) and run it through LinkedIn Company Scraper to add employee count, founded year, and industry context before prioritizing outreach.

LinkedIn discovery → Maps Leads verification. If you’ve built a target-account list from LinkedIn (filtered by industry and size) and some of those companies also operate physical locations — a regional bank, a healthcare group, a multi-location retailer — running their name and city through Maps Leads can surface a verified email and phone number that LinkedIn’s public page never exposes.

import os
from apify_client import ApifyClient

apify = ApifyClient(os.environ["APIFY_TOKEN"])

# Discovery: local businesses via Maps Leads
maps_run = apify.actor("themineworks/maps-leads").call(run_input={
    "searchQueries": ["dental clinics in Denver CO"],
    "maxLeadsPerQuery": 20,
    "verifyEmails": True,
})
clinics = [c for c in apify.dataset(maps_run["defaultDatasetId"]).iterate_items()
           if c.get("enrichment_status") == "email_verified"]

# Enrichment: pull LinkedIn firmographics for the ones worth a closer look
top_clinics = [c for c in clinics if c.get("rating", 0) >= 4.5 and c.get("review_count", 0) >= 50]
linkedin_urls = [f"https://www.linkedin.com/company/{c['name'].lower().replace(' ', '-')}"
                 for c in top_clinics]  # best-effort guess; verify manually before running at scale

li_run = apify.actor("themineworks/linkedin-company-details").call(run_input={
    "companyUrls": linkedin_urls,
    "maxResults": len(linkedin_urls),
})
firmographics = list(apify.dataset(li_run["defaultDatasetId"]).iterate_items())

In practice, guessing LinkedIn slugs from business names is unreliable at scale — the cleaner version of this pipeline pulls LinkedIn URLs from the business’s own website (often linked in the footer) rather than constructing them, but the chaining pattern above holds either way.

Cost Comparison

Maps Leads charges $0.01 per verified lead ($10 per 1,000), billed only when a business clears the email MX check. LinkedIn Company Scraper charges $0.01 per company scraped ($10 per 1,000), billed only for pages that load successfully (a private or 404’d page is never charged). Neither charges for failed or empty results. At equal per-unit pricing, the deciding factor is fit to your market, not cost.

Frequently Asked Questions

Can LinkedIn Company Scraper find companies by industry or size, the way Maps Leads finds businesses by search query?

No — it requires a list of company URLs as input; it doesn’t do open-ended discovery by industry or size filter. You need a separate discovery step (a LinkedIn search done manually, a list from a data provider, or the output of another actor) to build that URL list first.

Does Maps Leads work for companies with no physical location?

No. It’s built around Google Maps listings, which require a physical address or defined service area. Purely online or remote-first businesses generally won’t appear.

Is there a risk of getting a LinkedIn account banned using the company scraper?

No — it never logs in or uses any account credentials. It reads only public company pages the same way a logged-out visitor would, so there’s no account to put at risk.

Which one should I run first if I’m not sure which market I’m targeting?

Start with whichever describes more of your actual target list: if most of your prospects have a physical location and a Google presence, start with Maps Leads. If most are software or service companies without a storefront, start with LinkedIn. For a mixed target list, running both and merging on company name or website domain gives the fullest picture.

For a closer look at what LinkedIn Company Scraper returns and how to filter by employee count and industry, see our full guide to LinkedIn company data. For more on Maps Leads’ verification model and how it gets past the Google Places API’s 120-result cap, see our Maps Leads guide.