STEP 01
Describe the search
Plain English, the way you would type it into Maps: "roofing companies within 25 miles of Phoenix." Agent actions type the query and set the area before the robot starts reading.
Google Maps Scraper: Extract Business Listings, Reviews, and Leads Into a Spreadsheet
A Google Maps scraper turns local listings into structured rows: business name, category, address, phone, website, rating, review count, and hours. WebRobot does it with an AI agent. Describe the search in plain English, name the fields you want, and it runs the query, scrolls every result, opens each listing, and delivers clean, deduplicated rows to a spreadsheet or your CRM on a schedule.
No CSS selectors to maintain, no extension to babysit. The robot stores what you asked for, not a brittle path, so the daily pull keeps landing after Google reshuffles its layout.
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
Want this data fresh every morning, without lifting a finger?
01 / FIELDS
FIG. 1 · WHAT COMES OFF A LISTING
Every field a Google Maps listing exposes, in one row
A single place page carries more usable data than most people pull. Here is what the robot reads and
what each field is good for.
| Field | What it is | Who uses it |
|---|---|---|
| Name and category | Business name plus primary and secondary categories | Segmenting a lead list by exactly the kind of business you sell to |
| Phone and website | Public phone number and the site linked on the listing | Lead gen and outreach: the two fields a sales list lives or dies on |
| Full address | Street, city, state, ZIP, and map coordinates | Territory planning, dedupe key, and mapping density on a heat map |
| Rating and review count | Star average and total number of reviews | Prioritizing prospects (a 3.4-star business needs your reputation service) |
| Individual reviews | Reviewer, star rating, date, and full review text | Reputation monitoring, sentiment analysis, and competitor teardown |
| Hours and price level | Opening hours by day and the dollar-sign price band | Market research and enriching an existing local database |
| Claimed status | Whether the owner has verified the listing | Local SEO agencies: an unclaimed listing is a warm pitch |
The same engine reads any structured page, so a Maps pull can flow straight into the same sheet as your web scraping for lead generation workflow. For the category overview, start at the web scraping tool pillar.
02 / TWO ROUTES
FIG. 2 · API OR SCRAPE
Google Places API versus scraping the listings
Google publishes an official Places API. It is clean and licensed, but it is not free and it caps what
you can store. Knowing where each route wins saves money and terms trouble.
| Places API (New) | Scraping the listings | |
|---|---|---|
| Cost model | Per request, billed by field group (SKUs); costs climb fast at bulk volume | Flat monthly plan, no per-record fee |
| Coverage | One place or a bounded search per call | Every result for a query across a metro or state |
| Reviews | Capped at roughly five per place | The visible reviews on the listing |
| Storage | Terms limit how long most fields may be cached | You hold the data you collect (within the law and public-data limits) |
| Terms | Fully sanctioned by Google | Automated access sits against Google's terms; use judgment and low frequency |
| Best for | Licensed enrichment of a few clean fields | Bulk local lists, full reviews, fields the API caps |
Most teams combine them: the API for the handful of fields Google licenses cleanly, a scraper for the breadth and the review depth the API will not give you. The full tradeoff, with the exact rules, is in how to scrape Google Maps data. On legality generally, see is web scraping legal.
03 / PROCEDURE
FIG. 3 · SETUP
How to scrape Google Maps in four steps
The first list takes about ten minutes to set up. Every refresh after that runs itself.
STEP 02
Name the fields
"Name, category, address, phone, website, rating, review count, hours." The robot opens each listing for fields the results panel hides. No selectors, no code.
STEP 03
Scroll and paginate
The robot scrolls the results panel to the end so you get every place, not just the first screen, and dedupes on address and phone so each business appears once.
STEP 04
Deliver and schedule
Google Sheets, Excel, Slack, Zapier, or the REST API into your CRM. Schedule weekly and each run flags new businesses and closed ones so the list stays current.
04 / USE CASES
FIG. 4 · WHO RUNS THIS
Where a Google Maps dataset pays for itself
Local lead generation
Every business in a category and a radius, with phone and website, in one sheet. Agencies and B2B teams selling to plumbers, dentists, restaurants, or gyms build a whole territory list in an afternoon instead of copying pins by hand.
Local SEO and reputation
Pull ratings, review counts, and claimed status across a client's competitors. An unclaimed listing or a 3.5-star average is a concrete pitch, and tracking it monthly shows the work is moving the number.
Market and competitor research
Map how many competitors operate in a metro, their density by ZIP, their rating spread, and their price bands before you open a location or enter a market. The coordinates plot straight onto a heat map.
Review and sentiment monitoring
Track review text and star movement across dozens of locations, feed it to a sentiment model, and catch a location whose rating is slipping before it shows up in revenue. For a reviews-first workflow, see the Google reviews scraper, or pair it with website change monitoring.
Data enrichment
You have a list of business names but no phone, website, or category. Point the robot at Maps to fill the gaps and confirm each business is still open, so your CRM is not full of dead records.
Building a local directory
Seed a niche directory or comparison site with structured, categorized listings, then refresh it on a schedule so hours, phone numbers, and closures stay accurate without manual upkeep.
Pricing is flat: plans on pricing start at $79 per month with no per-record fee, so a statewide pull costs the same as a single city. For a broader directory pull, see the data extraction tool.
05 / FAQ
FIG. 5 · FIELD QUESTIONS
Google Maps scraper questions, answered
A Google Maps scraper is software that reads business listings from Google Maps and turns them into
structured rows: business name, category, full address, phone, website, star rating, review count,
hours, and individual reviews. Instead of copying places one at a time, an agent runs a search like
"dentists in Austin," paginates through every result, opens each listing, and delivers a clean
spreadsheet or feed that refreshes on a schedule.
The public fields on a listing: business name, primary and secondary categories, full street
address, phone number, website URL, star rating, total review count, individual review text with
reviewer name and date, opening hours, price level, claimed or unclaimed status, and the map
coordinates. Name, phone, website, rating, and review count are the fields lead-gen and local-SEO
teams pull most.
The business facts on Maps (name, address, phone, category, rating) are public data, and courts
have generally treated scraping public information as lawful in the US. The complication is
contractual: Google's terms restrict automated access, and the official Places API limits how long
you may store most fields. The lower-risk route is the Places API for what it covers, plus careful,
low-frequency collection of the public facts it omits.
Use the Places API when you need a handful of fields Google licenses cleanly (name, address,
rating, hours) and you can live with per-call pricing and its storage limits. Reach for a scraper
when you need bulk local coverage, full review text, or fields the API caps, and you accept the
terms tradeoff. Many teams combine them: the API for enrichment, a scraper for breadth.
Describe the search in plain English ("HVAC contractors within 25 miles of Dallas"), tell the robot
which fields you want (name, phone, website, rating, review count), and let it run the search,
scroll every result, and open each listing. Schedule it, deduplicate on address and phone, and you
get a fresh local lead list in Google Sheets or your CRM without writing or maintaining a scraper.
WebRobot is flat-priced: Launch at $79 per month ($63 yearly) covers 5 robots and 10,000 records,
enough for a few metros of local leads. Scale at $249 ($199 yearly) adds hourly schedules, agent
actions for search filters, and 100,000 records for statewide coverage. There is no per-record fee,
so pulling thousands of listings does not inflate the bill the way per-call API pricing does.
Yes. Point the robot at a business listing or a set of listings and it reads the visible reviews:
reviewer name, star rating, date, and review text, plus the aggregate rating and count. Reputation
teams track sentiment and response rate across locations this way, and local agencies use it to
show a prospect exactly where their star rating sits against nearby competitors.
FINAL ASSEMBLY
Every business in your market, with phone and website, in one spreadsheet
Describe the search, name the fields, and get a fresh, deduplicated local dataset on a schedule.