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Documentation Index

Fetch the complete documentation index at: https://www.octoparse.com/docs/llms.txt

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Google Maps is one of the richest public sources for local business data. It contains business names, addresses, phone numbers, websites, categories, ratings, reviews, hours, coordinates, photos, service areas, and operational status. That makes it useful for lead generation, territory planning, local SEO research, market mapping, and competitor analysis. The challenge is that Maps is an interactive application, not a simple directory. Search results depend on query, location, zoom level, language, region, and map viewport.

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Choose the input mode

Common Google Maps scraping inputs include:
  • Keyword plus location: dentist in Austin, TX
  • Full Google Maps search URLs
  • Place URLs
  • Place IDs
  • Coordinates or map viewport
  • Category plus geographic area
Keyword-plus-location is best for discovery. Place URLs or place IDs are better when you already have a list of businesses and need details or reviews.

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Listing vs detail data

Google Maps has two useful layers. Listing/search data:
  • Business name
  • Category
  • Rating
  • Review count
  • Address
  • Phone
  • Website
  • Coordinates
  • Opening status
  • Price range when available
  • Google Maps URL
Detail-page data:
  • Full address
  • Opening hours
  • Photos
  • Popular times when visible
  • Additional categories
  • Services or amenities
  • Reviews
  • Owner responses
  • Place ID and other identifiers
Octoparse, Apify, and other template providers usually separate listing extraction, place-detail extraction, review extraction, and contact enrichment. That split is useful because not every job needs the expensive detail layer.

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Map splitting

Google Maps often caps or limits what it shows for one visible map area. If you search a broad region, the interface may show only a subset of matching businesses. The practical workaround is map splitting: divide a large geography into smaller grid sections, zoom into each section, collect visible places, and merge the results. For example, instead of one search for salon in Tokyo, a scraper can divide Tokyo into smaller map cells. Each cell returns its own visible businesses. Deduplication then merges businesses that appear in overlapping cells. This is the same principle described by Google Maps scraping templates that use map splitting to move beyond the first visible batch of results.

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Lead enrichment

Google Maps does not always expose emails or social links directly. A common lead workflow is:
  1. Search Maps by category and location.
  2. Collect business name, address, phone, website, rating, and category.
  3. Visit the business website.
  4. Extract public email, contact page, social links, and technology signals.
  5. Deduplicate by domain, phone, and address.
  6. Score leads by category, rating, review volume, website presence, and location.
Many Google Maps templates now include optional website enrichment because Maps gives the business identity while the website gives richer contact context.

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Reviews

Reviews are useful for sentiment, quality signals, and competitor research. Collect:
  • Review rating
  • Review text
  • Review date
  • Reviewer display name or profile URL where public
  • Owner response
  • Helpful or like count when visible
  • Sort mode and language
Keep review scraping separate from listing scraping. Review pagination, sorting, and volume can dominate runtime and cost.

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Technical considerations

Google Maps scraping commonly involves:
  • Infinite scroll and dynamic loading
  • Map viewport changes
  • Locale and language variation
  • Result limits per viewport
  • Duplicate places across searches
  • Anti-bot checks
  • Inconsistent fields by business category
Start with a small sample and validate field completeness before scaling. A maxResults value is not enough if the query or map area is too broad; use tighter locations or map splitting.

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API alternatives

Google’s official Places API may be the right choice when you need supported access, predictable billing, and official terms. Scraping can expose fields or workflows not available through the API, but it also carries more operational and policy risk. Choose based on the use case, not just field count.

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Practical rule

Use Maps scraping for public local-business research, lead discovery, reviews, and market mapping. Design around geography: split broad areas, deduplicate aggressively, preserve coordinates and source URLs, and enrich business websites only when the outreach or analysis actually needs it.