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Scrape Google Maps Without Code (2025): Complete Guide

•8 min read
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If you're trying to scrape Google Maps results into a spreadsheet without writing code, you’re not alone. This complete 2025 guide shows the fastest path from Maps results to a clean list you can analyze or share — no scripts, servers, or APIs required.

Webtable is the best no‑code option for fast, accurate scraping right in your browser — generously free for common jobs. It captures what you already see on screen (names, ratings, addresses, phones, websites), cleans the table automatically, and exports to CSV, Excel, JSON, or Google Sheets in one click.

What you’ll learn

  • How to capture Google Maps results without code.
  • Which fields are practical to collect (name, rating, address, phone, website, categories).
  • How to handle pagination, infinite scroll, and map panning.
  • How to export clean data to Google Sheets in one click.
  • Compliance tips and common pitfalls to avoid.
caption: Webtable website and Chrome extension overview
Webtable website and Chrome extension overview

Why scrape Google Maps in 2025?

Google Maps is a goldmine for local business discovery: restaurants, clinics, agencies, stores, service providers, and more. For market research, lead generation, or local SEO, a spreadsheet of listings with names, ratings, websites, and phone numbers is often the quickest way to analyze a city or niche.

Traditional options like custom scripts or official APIs can work, but they require engineering effort, authentication, quotas, and ongoing maintenance. If you mostly need the data you can already see on the screen, a no‑code browser approach is faster for everyday workflows.

A quick note on compliance

Always follow website terms and local laws. Focus on publicly available information, be respectful about access frequency, and avoid personal data without a lawful basis. If you need programmatic, policy‑compliant access at scale, review Google’s official services (see Google Places API overview and Maps Platform Terms).

Tools you’ll need

What Webtable captures well on Google Maps

  • Business name
  • Rating and review count
  • Address and locality cues
  • Phone number (when visible)
  • Website link
  • Category tags/labels (when rendered)
  • Listing URL (optional, for traceability)

For best results, work from a search results view (left list panel) rather than opening individual detail pages. The list panel gives a consistent layout that’s ideal for column‑by‑example selection.

Step‑by‑step: Scrape Google Maps without code

1) Open your target search

1. Go to Google Maps and run a query like ‘dentists in Austin’ or ‘Italian restaurants Brooklyn’.

2. Adjust the map zoom and pan until the left‑side results list shows the area you care about.

3. Wait for results to fully render in the left panel.

2) Start capture in Webtable

1. Click the Webtable icon to open the sidebar.

2. Click "Scan". Webtable analyzes the page and highlights structured data it can detect, including list cards in the left panel.

3. Select the list grouping that contains businesses. You should see a preview table populate with a row per listing.

caption: Capturing longer result sets with auto‑scroll/pagination
Capturing longer result sets with auto‑scroll/pagination

3) Add your first column by example

1. Click a business name in the list panel. Webtable uses Smart Selection to infer the "Name" column across all visible listings.

2. Review the preview — the "Name" column should be complete.

3. If detection looks off, click a cleaner example or try a slightly different element for better alignment.

4) Add the rest of your fields

Repeat the same "click one example" process for:

  • Rating
  • Review count
  • Address
  • Phone (if visible)
  • Website (enable link extraction to capture the URL)
  • Category or short description text

Tip: When you add a Website column, enable link extraction so the href is captured, not just the anchor text.

5) Load and capture all results

Maps lists often paginate via infinite scroll or next‑page buttons. Use the built‑in controls to gather everything:

  • Turn on auto‑scroll to load additional listings in the left panel.
  • If a "Next" control appears, use pagination capture to combine multiple result pages into one table.
  • Keep the map still while capturing — unnecessary panning can refresh the list and move your position.

As rows increase, watch the counter in the preview to confirm progress.

6) Clean the table

Before you export, give the table a quick tidy:

  • Remove noise columns you don’t need.
  • Drop uniform columns (all values identical) to minimize clutter.
  • Standardize header names: "Name", "Rating", "Reviews", "Address", "Phone", "Website", "Category", "Listing URL".
  • If needed, move columns into a logical order (identity, quality signals, contact, metadata).
caption: Example of a clean, spreadsheet‑ready table
Example of a clean, spreadsheet‑ready table

7) Export to Google Sheets/CSV/Excel

  • Click Export → Google Sheets for one‑click upload.
  • Or choose CSV/Excel if you prefer local files.
  • Spot‑check 10–20 rows to ensure accuracy before sharing with stakeholders.

New to Sheets exports? Read the step‑by‑step: How to Scrape a Website to Google Sheets (No Code, 2025).

Recommended columns for Google Maps projects

  • Name — primary identifier.
  • Rating — float; consider rounding to one decimal place for readability.
  • Reviews — integer; treat as a quality/volume proxy.
  • Address — single field; you can split later into Street/City/State/ZIP if needed.
  • Phone — E.164 if you plan to dial; clean formatting after export.
  • Website — use link extraction to keep canonical URLs.
  • Category — aligns with how Google describes the business; helps with filtering.
  • Listing URL — the result link for traceability.

Common workflows this unlocks

Lead generation and outreach

Build a targeted list (e.g., "home cleaning services in Phoenix") with phone and website columns. Use the list for CRM imports or outreach sequences.

Market research and TAM estimation

Estimate totals, analyze review volumes, and segment by neighborhoods or districts. Use filters and pivot tables to summarize categories and quality signals.

Local SEO projects

Benchmark competitors, note review counts and recentness, and identify category and keyword gaps.

For broader no‑code techniques, see No‑Code Web Scraping Tutorial for Beginners (2025).

Handling longer result sets

Maps sometimes shows hundreds of results across scrolling pages. To keep your capture consistent:

  • Use auto‑scroll to reveal additional rows progressively.
  • Use pagination capture when a Next control is present.
  • Avoid unnecessary zoom/pan changes mid‑capture. Changes to the viewport can refresh the results list, making it easy to lose your place.
  • If you need sub‑areas (e.g., different boroughs), run separate captures and merge later.

Data quality tips specific to Maps

  • Business names sometimes include descriptors (e.g., ‘temporarily closed’). Normalize after export if needed.
  • Phone numbers can be absent or masked by site preferences. Don’t assume completeness.
  • Addresses may include suite numbers or landmarks — keep as a single field, split later with formulas only if necessary.
  • Ratings and review counts update frequently. Timestamp exports for reproducibility.
  • Website links may route through redirectors. Keep canonical destination URLs when possible.

Troubleshooting

The sidebar list isn’t detected

  • Wait until all results render.
  • Click a different example element for "Name".
  • Zoom out in the browser slightly to expose more consistent markup.
  • Try another selection mode in Webtable if available.

Missing rows

  • Enable auto‑scroll and pause briefly to let content load.
  • Use pagination capture if a Next control is present.
  • Confirm the map isn’t moving (panning re‑queries results).

Messy columns

  • Remove uniform or empty columns.
  • Rename headers and reorder columns for clarity.
  • Re‑click a cleaner element for a more precise column signature.

Website links not captured

  • Ensure link extraction is on for that column.
  • If a website is hidden behind a "Call" or "Directions" cluster, capture the Listing URL for manual follow‑up.

When an API may be better

If you need programmatic, high‑scale, or background collection, consider APIs and cloud tools. Review the Places API documentation for official options, and compare desktop/cloud tools if you require scheduled crawls or thousands of daily records.

Ethical and compliant use

  • Scrape only publicly available information.
  • Respect website terms and robots; avoid excessive request rates.
  • Don’t extract personal data without a lawful basis.
  • Use data responsibly and keep appropriate records.

For a balanced overview of tools and trade‑offs, see Best Web Scraping Chrome Extensions (2025).

Turn results into a working spreadsheet

After export to Google Sheets, consider these quick improvements:

  • Add a "Source" column: ‘Google Maps, 2025‑10‑03, query=restaurants brooklyn’ for auditability.
  • Normalize phone numbers using a simple cleanup formula or add-on.
  • Split Address only if necessary for analysis; otherwise keep intact.
  • Add checkboxes or a "Status" column for outreach tracking.
  • Create pivot tables by Category or by rating buckets to spot patterns.

Example: Restaurants in Brooklyn

Here’s what a practical session might look like:

1. Search ‘Italian restaurants Brooklyn’ on Google Maps.

2. Open Webtable, click "Scan".

3. Click one restaurant name to create the "Name" column.

4. Click rating, review count, address, and website.

5. Enable auto‑scroll to load more results; if available, use pagination capture.

6. Clean headers, remove noise columns, and export to Sheets.

7. In Sheets, add a "Neighborhood" column you fill manually for a subset you care about, then create a pivot for "Avg Rating by Neighborhood".

caption: Example of list-to-table capture ready for export
Example of list-to-table capture ready for export

Frequently asked questions

Is scraping Google Maps legal?

It depends on jurisdiction and your use case. Focus on publicly available information, follow applicable terms (see Maps Platform Terms), and avoid personal data without a lawful basis.

Can I do this entirely without code?

Yes. Tools like Webtable are designed for no‑code capture from the rendered page.

How many rows can I export?

Browser‑based methods are limited by performance and result pagination. For very large datasets, export in batches or consider an API approach.

Can I capture emails?

Emails are rarely shown in Maps results. Capture the Website and enrich later from the site or other sources that permit it.

Will this work behind login?

Google Maps results are typically public. If a site requires authentication or uses dynamic elements, reliability varies.

Does Webtable support auto‑scroll and pagination?

Yes. Auto‑scroll helps reveal more results, and pagination capture stitches multi‑page results together.

Next steps

Conclusion

For most everyday research and local prospecting, Webtable is the fastest way to turn Google Maps results into clean, usable spreadsheets. Point‑and‑click selection, automatic cleanup, and one‑click export mean you can go from query to analysis in minutes — no scripts, no brittle selectors, and no servers to maintain. Explore Features and browse Tutorials.