This tutorial shows how to scrape Google Maps listing details into CSV with the Google Maps Listing and Details Scraper template for UScraper. You will import the workflow, add approved place URLs, set the export path, validate rows, and know when the official Google Places API is the better route.
Before you start
Prerequisites for scraping Google Maps listing details
You need UScraper installed as a local desktop app, the Google Maps Listing and Details Scraper template, a folder for CSV exports, and Google Maps place URLs you are allowed to process. Start with three to five URLs. Google Maps can vary by language, region, consent state, account state, and live business data.
This guide is for visible place detail pages. It is not a CAPTCHA bypass guide, login automation guide, or legal opinion. Before collecting or reusing Maps data, review Google's Maps Platform terms, Google Maps Platform policies, and any rules that apply to your market, privacy obligations, or customer use case.
Technical access is not the same thing as permission. Keep runs modest, stop when verification appears, and keep the source URL and run date with every exported dataset.
Workflow anatomy
What the Google Maps details scraper does
The JSON export is the authoritative workflow definition. In plain English, the flow is:
Set Window Size -> Navigate -> Wait for Page Load
-> Wait for Heading -> Wait for Core Details -> Close Dialogs
-> Sleep -> Structured Export -> Loop Continue
The Navigate block contains the place URLs. The waits look for a visible place heading and core details such as address, rating, or category elements. A short JavaScript cleanup step closes common dialogs before export. Structured Export reads from the loaded page body and writes fixed CSV columns with headers and append mode. Loop Continue advances to the next URL.
The template avoids opening the hours overlay before extraction because that overlay can replace the page heading with a modal title. Instead, it captures the visible hours summary and open status fields when present.
| Export area | Example columns | Validation check |
|---|---|---|
| Identity | name, category, detail_url, header_image | Does the row match the open place page, not a nearby suggestion? |
| Reputation | rating, rating_count, review_keyword1 to review_keyword10 | Compare the rating and review count against the visible page. |
| Contact | address, website, phone, plus_code | Confirm phone and website are published by that business. |
| Location | latitude, longitude, located_in | Check coordinates from the Maps URL when available. |
| Status | current_status, next_status, open_hours, scraped_at | Treat hours as time-sensitive, not permanent business facts. |
Runbook
How to scrape Google Maps listings to CSV
Import the template
Open the Google Maps Listing and Details Scraper page, download the JSON, and import it into UScraper.
Replace the sample URL
Add the Google Maps place detail URLs you want to process in the Navigate block. Keep the original URL list for audit and deduping.
Confirm waits and prompts
Run one URL with the browser visible. Handle consent or verification manually, then confirm the page reaches a real business heading.
Set the export folder
In Structured Export, confirm google-maps-store-scraper-local.csv, headers, append mode, and a project-specific save location.
Validate, then batch
Compare the first CSV row against the open Maps page. Only then add more URLs and let Loop Continue append the rest.
After the first run, sort the CSV by detail_url. One place URL should produce one row. If rows repeat, check for duplicate URLs or old test rows in the append-mode file.
Validation
Validate the Google Maps scraper output
Validation matters because Google Maps is a live interface, not a static database export. Check a row from the beginning, middle, and end of every run. For lead research, store the raw URL list beside the CSV so every row can be traced back to a browser page.
Blank fields usually mean the business does not publish that value, the detail panel rendered a different layout, or consent interrupted the page. Reopen that URL and compare the browser before editing selectors.
API comparison
Google Places API vs scraping Google Maps
If you need a supported production integration, compare this workflow with the official Places API overview. Google's Text Search endpoint handles listing-style queries, Place Details returns per-place information from a place ID, and the data fields reference explains field masks.
| Route | Better when | Trade-off |
|---|---|---|
| UScraper template | You already have place URLs and need a supervised local CSV for research, QA, audits, or enrichment queues. | Markup can change, fields may be missing, and you must manage compliance and pacing. |
| Google Places API | You need approved API access, billing, quotas, documented fields, and policy-governed storage or display. | Requires API setup, field masks, billing review, and acceptance of Google's usage rules. |
| Hosted scraper tools | You need cloud scheduling, managed infrastructure, or large remote jobs. | Data passes through a vendor system and pricing is usually usage-based. |
For many teams, the clean split is simple: use the official API for software products and customer-facing systems; use UScraper for controlled spreadsheet research where a human can inspect the browser and the CSV together.
FAQ
Frequently asked questions
Is it legal to scrape Google Maps listing details?
Google Maps can show public business information, but automated collection may still be restricted by Google terms, Maps Platform policies, privacy law, database rights, and local rules. Review the current policies, avoid bypassing access controls, keep runs modest, and get legal review before using the export commercially.
Do I need a Google Maps API key?
No API key is required for this UScraper workflow. It opens the Google Maps place URLs you provide and exports fields visible in the loaded browser session. If your project needs approved API access, quotas, billing, storage rules, or display requirements, use the official Places API route instead.
What columns does the Google Maps details scraper export?
The workflow can export keyword, name, header_image, rating, rating_count, price_range, category, detail_url, tags, address, located_in, current_status, next_status, scraped_at, open_hours, latitude, longitude, plus_code, website, phone, and up to ten review keyword chip columns.
Why are some Google Maps fields blank?
Blank cells are expected when a place does not publish the value, Google Maps hides the module, the session locale changes labels, or the page did not finish rendering. Validate the browser view first, then adjust waits or selectors if the value is visible but the CSV is empty.
Should I use Google Places API instead of scraping?
Use Google Places API for production systems, approved integrations, and policy-governed data use. Use the UScraper template when you need a local desktop workflow for supervised CSV research from known place URLs. For more options, browse the template library or read related tutorials on the UScraper blog.