Google Maps Scraper

Extract Google Maps business data into leads and spreadsheets

DataLens turns any Google Maps search result into a structured lead list. Extract business names, addresses, phone numbers, websites, ratings, review counts, and operating hours from visible listings — without code, APIs, or fragile scripts.

Use this page as a starting point for the full workflow: collect the source, clean the table, analyze the patterns, and keep the exportable file together.

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AI scraping workbench

Collect, clean, and deliver without rebuilding the workflow.

DataLens keeps the messy browser step, the structured table, and the exportable files together so analysts, operators, and growth teams can move from live pages to decisions faster.

Collect

Capture live page evidence

Open the source in Chrome and let DataLens detect repeated rows, links, images, comments, or listings on the page you are already viewing.

Clean

Shape messy fields into a table

Use the AI scraping workbench to normalize labels, preserve source context, and keep raw rows beside the cleaned dataset for review.

Deliver

Export files people can use

Send CSV, Excel, JSON, or a research report to the team without stitching together screenshots, scripts, and disconnected spreadsheets.

Complete business contact data

Capture names, full addresses, phone numbers, websites, categories, and hours from any Google Maps search in one pass.

Reviews and ratings at scale

Collect star ratings, review counts, and individual review text for reputation monitoring and competitive analysis.

Export-ready for outreach

Download the result as CSV, Excel, or JSON and feed it into your CRM, email tool, or enrichment workflow immediately.

Real-world use cases

A sales development rep needs 400 commercial cleaning companies across three metro areas. Instead of two days of manual copying, they use DataLens to extract all listings for each city in under 10 minutes and export a single deduplicated spreadsheet ready for CRM import.

A local marketing agency monitors competitor restaurant chains monthly — extracting every location's rating and review count to track which competitors are declining in reputation and where clients should focus acquisition efforts.

A franchise development consultant identifies expansion opportunities by running category searches in target cities, extracting listing counts, and pinpointing territories where a service category is undersaturated relative to population.

How it works

1
Open Google Maps and run a focused search — for example, "dentists in Austin, TX" or "HVAC contractors in Phoenix, AZ". Once the left sidebar fills with business listing cards, you are ready to extract. The more specific your search, the more targeted your resulting lead list.
2
Open DataLens from the Chrome toolbar. The AI scans the sidebar, detects the repeating listing card pattern, and maps each visible field — business name, address, phone number, website, category, star rating, and hours — to an extraction column. A live column preview appears before any data is captured.
3
Scroll slowly down the results sidebar to trigger loading of additional listings. Google Maps delivers businesses in batches as you scroll; DataLens accumulates each new batch automatically. When you have collected enough records, click Export and download as CSV, Excel (XLSX), or JSON.

Frequently asked questions

Use these questions to decide how a live website becomes an AI scraping workflow.

What business data can I extract from Google Maps?

You can extract business names, full addresses, phone numbers, website URLs, star ratings, review counts, operating hours, and business categories from any Google Maps search result. When a business has hours set in their Google Business Profile, those are also captured. The exact fields available depend on how completely the business owner has filled in their listing.

Can I scrape hundreds of businesses at once?

Yes. DataLens collects all visible listings in a Google Maps search as you scroll through the sidebar. Google Maps typically shows up to 120 results per search query — for larger volumes, use geographic subdivision (search by neighborhood or district) and merge the exports to build a larger master dataset.

Do I need an API key to scrape Google Maps?

No. DataLens works directly in Chrome as a browser extension and reads the page exactly as it is displayed to you — no API keys, developer credentials, or code required. It works within your existing logged-in Google session.

Can I export Google Maps data to Excel?

Yes. After extraction you can download the full lead list as CSV, Excel (XLSX), or JSON. The file includes clean column headers and is ready to import into any CRM, spreadsheet, outreach tool, or data enrichment pipeline.

Related workbench workflows

Compare adjacent collection paths by source, export format, and team job.

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