How to Scrape Google Maps Data in 2026 (No Code Required)
2026-07-20 · 10 min read
The fastest way to scrape Google Maps in 2026 is to skip the browser extensions and point a no-code agent at a Maps search. Type the query the way you would by hand, name the fields you want, and it scrolls every result, opens each listing, and hands you a clean, deduplicated spreadsheet. Where you need Google-sanctioned data, the Places API covers a few fields cleanly. This guide covers both routes, the rules, and the exact setup.
Last updated July 2026
Robot console · WR-01
Standing by Running · s Complete · rows
1 · Pick a target
3 · Fields to extract
Agent log
Crawl graph
Extracted data · rows
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The Places API and scraping solve different problems
Google publishes an official Places API. It returns clean, licensed data for a single place or a bounded search: name, address, phone, website, rating, hours, and a small set of reviews. It is the sanctioned route, and if you need those fields for a modest number of places, it is the right one. The catch is the meter. The Places API bills per request, grouped into field SKUs, so a project that pulls thousands of listings across a state adds up quickly. It also limits how long you may store most fields, which rules out building a durable local database from it.
Scraping the listings reads the same public place pages a person sees in the browser. It wins where the API struggles: bulk coverage of every result for a query across a metro, the full set of visible reviews rather than a capped handful, and fields you want to keep. The tradeoff is that automated access sits against Google's terms, so you collect only the public business facts, at low frequency, and use judgment. Most serious teams run both: the API for the few fields Google licenses cleanly, a scraper for breadth and review depth.
What data you can pull from a Google Maps listing
| Field | What it is good for |
|---|---|
| Name and category | Segmenting a list by exactly the kind of business you sell to |
| Phone and website | The two fields a sales or outreach list is built on |
| Address and coordinates | Territory planning, a dedupe key, and plotting density on a map |
| Rating and review count | Prioritizing prospects and sizing a market's quality spread |
| Individual reviews | Reputation monitoring, sentiment analysis, competitor teardown |
| Hours and price level | Enriching a database and understanding a market's positioning |
| Claimed status | A local-SEO pitch: an unclaimed listing is a warm lead |
For a full breakdown of each field and the workflows built on it, see the Google Maps scraper page. If you only need the business phone and website to build a call list, those two fields alone are usually the point. If reviews are what you are after, how to scrape Google reviews covers the reputation angle in depth.
How to scrape Google Maps without code, step by step
1. Write the search the way you would type it. "HVAC contractors within 25 miles of Dallas," or "coffee shops in Brooklyn." The agent enters the query in Maps and sets the area using agent actions before it reads anything. You do not need to think about URLs or map bounds.
2. Describe the row in plain English. List the fields: "name, category, address, phone, website, rating, review count, hours." The robot opens each listing to reach fields the results panel hides, like the website link and full hours. There are no CSS selectors to write and nothing to update when Google reshuffles its layout, because the robot stores what you asked for, not a brittle path to it.
3. Let it scroll to the end. Maps loads results as you scroll, so a tool that grabs only the first screen misses most of a market. The agent scrolls the results panel until it stops loading new places, then dedupes on address and phone so each business appears once.
4. Deliver and schedule. Send the rows to Google Sheets, Excel, Slack, Zapier, or the REST API into your CRM. Schedule the run weekly or monthly and each pass flags new businesses and closures, so the list stays current instead of going stale the day you export it. If you are piping the results into a spreadsheet to work on, our guide to web scraping to Google Sheets covers the delivery side in depth.
Is it legal, and how to stay careful
A business name, address, phone number, category, and star rating are public facts, and US courts have generally treated the collection of public information as lawful rather than as computer fraud. That is the reason a local lead list built from public Maps data is a routine, defensible thing to own. The two real limits are contractual and privacy-related. Google's terms restrict automated access to Maps, and the Places API caps how long you may store most fields, so read them and set your frequency and storage accordingly.
The practical posture that keeps teams safe: prefer the Places API for the fields it licenses, collect only public business data when you scrape, keep the request rate polite and low, and do not hoard personal data you have no reason to hold. Reviewer names attached to review text are personal data, so treat them under CCPA and GDPR if you keep them. The full picture, with the case law, is in is web scraping legal.
Once you have the list, the value is in acting on it. A clean spreadsheet of local businesses with phone numbers is exactly what a well-run AI cold-calling workflow that qualifies and books them turns into meetings, so the scraped data feeds straight into outreach rather than sitting in a tab.
Scraping Google Maps, answered
FINAL ASSEMBLY
Every business in your market, with phone and website, in one sheet
Describe the search, name the fields, and let the robot build a fresh local dataset on a schedule.