Most B2B lead databases have a blind spot: local businesses.
Apollo, Lusha, and similar tools are built for the startup and tech ecosystem. If your ICP is a dental clinic in Lyon, a plumbing contractor in Bordeaux, or an accounting firm in Lille — you’ll either pay for records that are outdated, or spend hours manually searching.
Google Maps is the most complete, up-to-date directory of local businesses that exists. The problem is that extracting it at scale manually isn’t feasible. That’s exactly what Apify’s Google Maps Scraper solves.
What is the Google Maps Scraper Actor?
Apify Actors are pre-built scrapers you run in the cloud — no code to maintain, no Puppeteer to configure, no proxy management. The Google Maps Scraper is one of their most reliable Actors.
For each business it finds, it returns:
- Business name, category, and address
- Phone number and website
- Google rating and review count
- Opening hours
- GPS coordinates
You get a clean dataset, ready to export as CSV or JSON, in a few minutes.
A concrete use case: finding B2B leads by zone
Let’s say you’re a consultant targeting independent HR firms in the Paris region, or a SaaS selling to restaurants in a specific city.
Here’s how you set it up:
1. Create a free Apify account Go to apify.com and create an account. The free tier gives you enough credits to run meaningful scraping sessions.
2. Open the Google Maps Scraper Actor Search for “Google Maps Scraper” in the Apify Store. It’s maintained by the Apify team — use the official one.
3. Configure your search The two key inputs are:
- Search term: your business category (ex: “agence comptable”, “cabinet RH”, “restaurant gastronomique”)
- Location: city name, region, or postal code
You can also set a maximum number of results to control your credit usage.
4. Run and export Click Start. The Actor runs in the cloud — you close your laptop, it keeps working. Once finished, download your results as CSV directly from the Apify dashboard.
Integrating the output into your outbound workflow
Raw Google Maps data gives you business name, address, phone, and website. From there, the workflow is straightforward:
Step 1 — Enrich the contacts Use the website field to run enrichment via Hunter.io (find professional emails) or Apollo’s free tier (find decision-maker profiles). This turns a business listing into a contactable lead.
Step 2 — Import into your sequencer Upload the enriched CSV into Instantly or Smartlead. Map the fields (first name, company, email) and you’re ready to build a sequence.
Step 3 — Automate the pipeline with n8n If you want to go further, Apify has a native integration with n8n. You can build a workflow that triggers the scraper on a schedule, auto-enriches the output, and pushes new leads directly into your sequencer — without touching a spreadsheet.
That’s a fully automated local lead pipeline running in the background while you focus on other things.
What this doesn’t replace
Google Maps Scraper is optimized for one specific situation: local B2B targets with a physical presence and high-intent signals (they’re actively listed, open, and serving customers).
It’s not a substitute for signal-based prospecting when your ICP is a remote-first SaaS company or a senior decision-maker at a mid-market firm. For those targets, LinkedIn-based scraping and intent signals remain more relevant.
Use this tool when geography and business category are your primary filters. It’s the fastest way to build a hyper-local list without paying for a database subscription.
Bottom line
If you’ve been avoiding local B2B outreach because building the list was too painful — this removes that friction entirely. The Google Maps Scraper gives you a clean, exportable dataset in minutes, for any business category, in any city.
Paired with a lightweight enrichment step and an email sequencer, you have a functional outbound system targeting local prospects at a fraction of what any lead database would cost.
→ Try Apify and run your first scrape free: apify.com (affiliate)