Point it at a city and industry. The scraper queries every ZIP code, handles anti-bot protections, and delivers clean structured data — not raw HTML you have to parse yourself.
No credit card required. First extraction in under 5 minutes.
See how one query returns more data than an afternoon of manual copying
Here's exactly how the extraction works
No proxy setup. No HTML parsing. No anti-bot workarounds.
Enter an industry and location — "dentists in Phoenix" or "restaurants near 90210." The system maps every ZIP code in the area and plans a sweep that covers the full geography without redundant queries.
The scraper queries each ZIP with proxy rotation, handles Google's anti-bot protections, and renders JavaScript to capture data that static scraping misses. Adaptive yield tracking skips zones that would only return duplicates.
Every business comes back with consistent fields: name, full address, phone, website, Google rating, review count, place ID, and categories. Export as CSV or push directly to your pipeline.
Real fields from a real extraction. Every row is a business with structured, consistent data.
| Business | Address | Phone | Website | Rating | Reviews | Hours |
|---|---|---|---|---|---|---|
| Bright Smile Dental | 4821 E Indian School Rd, Phoenix, AZ 85018 | (602) 555-0183 | brightsmileaz.com Place ID | 4.8 | 234 | Mon-Fri 8am-5pm |
| Desert Ridge Family Dentistry | 20950 N Tatum Blvd, Phoenix, AZ 85050 | (480) 555-0297 | desertridgedental.com Place ID | 4.6 | 187 | Mon-Sat 7am-6pm |
| Camelback Orthodontics | 2222 E Camelback Rd, Phoenix, AZ 85016 | (602) 555-0441 | camelbackortho.com Place ID | 3.9 | 56 | Mon-Thu 9am-5pm |
| Scottsdale Dental Excellence | 7301 E 2nd St, Scottsdale, AZ 85251 | (480) 555-0618 | scottsdaledx.com Place ID | 4.7 | 412 | Mon-Fri 8am-6pm, Sat 9am-2pm |
| Valley Wide Dental Care | 1540 W Baseline Rd, Tempe, AZ 85283 | (480) 555-0835 | valleywidedental.com Place ID | 4.4 | 98 | Mon-Fri 8am-5pm |
5 of 623 dental practices found in the Phoenix metro. Each includes place ID for follow-up detail and review scraping.
Full review text, ratings, reviewer metadata, and owner responses. Sorted by lowest rating first so you see the pain points immediately.
Waited 45 minutes past my appointment time. When I finally saw the dentist, it felt rushed. Front desk was dismissive when I mentioned the wait.
Owner response: We're sorry about your experience. We've restructured our scheduling to reduce wait times...
Charged me $400 for a cleaning that should have been covered by insurance. Took three calls to billing to get it resolved. Still not happy with the explanation.
No owner response
Each review includes: reviewer name, rating, full text, date, owner response, reviewer profile metadata.
Businesses extracted
ZIP codes covered
Data fields per business
Full metro extraction
Free to try. No credit card required.
Here's what makes this scraper different from what you've tried before
Every feature exists because the obvious approach failed first.
A single Google Maps search returns at most 20 results. For a metro area with 600+ businesses, that's less than 4% of the market. This scraper breaks the area into ZIP codes, queries each one, and deduplicates across zones. Adaptive yield tracking stops when new results drop below 10% — full coverage without wasted queries.
Go beyond ratings. The review scraper renders the full Google Maps page with JavaScript, clicks into the Reviews tab, sorts by lowest rating, and scrolls to load more. Each review comes back with the full text, star rating, reviewer name, reviewer profile data, date, and the owner's response if one exists.
The basic search gives you name, address, rating, and review count. Place detail extraction goes deeper — website URL, phone number, business hours, categories, and the Google place ID for cross-referencing with other systems. Every field is parsed into a clean, consistent format.
Google doesn't want you scraping Maps. The scraper uses rotating residential proxies across 10 simultaneous connections, headless browser rendering with proper fingerprinting, and automatic retry with fallback providers. When one approach gets blocked, the next picks up without losing data.
Clean data, not raw HTML.
See how this compares to building your own scraper
Every scraping project starts with "how hard can it be?" and ends with a week lost to captchas and proxy bans.
| This tool | DIY scraping | Outscraper/Phantombuster | Manual collection | |
|---|---|---|---|---|
| Metro coverage |
Full metro, ZIP by ZIP
Auto-dedup, adaptive stop |
Build your own coverage logic | Query-based, limited depth | First page of results only |
| Review scraping |
Full text + owner response
Sorted by lowest rating |
Requires JS rendering setup | Basic reviews, limited depth | Copy-paste only |
| Anti-bot handling |
Proxy rotation + fallback
10 concurrent connections |
Your problem
Months to get right |
Included but opaque | N/A |
| Output format |
Structured, consistent fields
18 fields per business |
Whatever you build | CSV with basic fields | Spreadsheet you typed into |
| Time to 500 businesses | ~5 minutes | 1-2 weeks (building time) | ~30 minutes | 3-5 full days |
The real cost of DIY scraping isn't the first extraction — it's maintaining the scraper every time Google changes their markup, updates their anti-bot system, or rotates their DOM structure. That maintenance is built into this tool.
Zero risk to find out if it works for you
Run your first extraction immediately. See the actual data output before you're ever asked to pay.
No contracts, no annual lock-in. Your extracted data is yours to keep regardless.
Not a demo. Sign up, enter a query, and watch structured data populate. First results in under 5 minutes.
Try it free, cancel anytime.
I needed Google Maps data for a lead generation project. Started with a Python script and a free proxy. Got blocked in 20 minutes. Switched to Selenium with residential proxies. Worked for a day, then captchas. Tried Puppeteer. Tried Playwright. Each one worked until it didn't.
The scraping itself was only half the problem. Google Maps only shows 20 results per search. My target city had 800+ businesses in the category I needed. I had to figure out ZIP-by-ZIP querying, deduplication, and when to stop — because the last 10 ZIP codes were returning 90% duplicates.
After three rewrites and about six weeks of proxy tuning, I had something reliable. Concurrent connections with proxy rotation, JavaScript rendering for reviews and place details, adaptive coverage planning that knows when a metro area is fully scraped. The kind of infrastructure you'd spend months building from scratch.
I turned it into a tool so nobody else has to spend those six weeks. Enter a query, get clean data. That's it.
Every hour spent debugging your scraper is an hour you could spend actually using the data.
Start Extracting FreeNo credit card. No contracts. Structured data in minutes.
Google Maps scraping is the foundation of our local business lead generation pipeline. Combine it with email finder & data enrichment to turn raw business data into verified contact lists, or use email verification to validate addresses before outreach. See all products →