Step 1
Describe the search
Plain English, the way you would type it into Maps: "roofing companies within 25 miles of Phoenix." Agent actions (Scale and up) type the query and set the area before the robot starts reading.
Google Maps Scraper and Map Data Extractor for Local Business Leads
A Google Maps scraper, or Google map extractor, 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.
Robot console
No account needed Running · s Complete · rows
Fields
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.
Two routes
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. If you are comparing per-record Maps vendors, the Outscraper pricing breakdown works through the bill for a recurring lead list. On legality generally, see is web scraping legal.
Procedure
How to scrape Google Maps in four steps
You set the list up once. Every refresh after that runs itself.
Step 2
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 3
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 4
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.
Use cases
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 inside the plan's allowance, so a weekly refresh does not add a new bill. For a broader directory pull, see the data extraction tool.
Buyer's table
Best Google Maps scraper and what each Google Maps data scraper costs
There is no single best Google Maps scraper; there is a best one for how often you pull and what you do with
the rows. Prices below are the vendors' published rates.
| Option | How it charges | Best for | Watch out for |
|---|---|---|---|
| Outscraper | 500 places free a month, then $3 per 1,000, $1 per 1,000 past 100,000 | One-off lists and huge national pulls | Contacts, email checks and phone lookups are billed as separate services; every rerun is billed again. See Outscraper pricing |
| Apify Google Maps actor | Pay per event on top of an Apify plan | Developers who script runs and chain actors | Details, contacts, reviews and social profiles are separate events. See Apify pricing |
| Google Places API | Per request by field group, with free monthly usage caps | Licensed lookups inside your own app | Search results capped per query, a handful of reviews per place, storage limits |
| Chrome extensions | Credits per row or a small monthly fee | Grabbing the results page you are looking at | Runs in your browser, so no schedule and no unattended refresh. See the Thunderbit alternative |
| WebRobot | Flat plan: Launch $79 for 10,000 records, Scale $249 for 100,000 | Lists refreshed on a schedule, plus fields read from each business website or other directories | Pricier than Outscraper for a single one-off pull; we say so on the Outscraper alternative page |
Agencies
Google Maps scraper to Google Sheets for local SEO audits
Local SEO agencies run the same audit for every prospect: the business and the ten competitors around it,
side by side. The robot builds that sheet and keeps it current.
Columns
The audit row
Business name, primary category, phone, website, city, full address, star rating, review count, claimed status and hours, one row per listing, in a Google Sheet your team already uses.
Refresh
Weekly, not once
Schedule it for every client market. On Scale, change alerts post to Slack when a competitor's rating or review count moves, which is the proof a retainer is working.
Beyond Maps
The website check
The same robot opens each listed website and records what you ask: online booking, a reviews page, a phone number that matches the listing. That is the part a Maps-only tool cannot see.
FAQ
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 ($39 yearly) covers 5 robots and 10,000 records,
enough for a few metros of local leads. Scale at $249 ($124 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.
For a one-off list, Outscraper is the cheapest at $3 per 1,000 places after 500 free. For developers who
script their runs, Apify's Google Maps actor. For a list you refresh every week, with fields read from each
business website and delivered to Google Sheets or a CRM, WebRobot, from $79 a month for 10,000 records.
Pick by how often you pull, not by the headline price.
Yes. Google's own Places API returns licensed fields per request but caps search results and reviews.
Scraper services expose APIs too: WebRobot's REST API is on every plan, so you can start a Google Maps
robot, read its latest rows as JSON, or receive them by webhook when a scheduled run finishes. The
web scraping API page shows the request format.
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.
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.