Google Maps Data Scraping Services

We use the official Places API where Google's terms require it, and pass that cost through transparently rather than burying it. Alongside that we collect publicly accessible directories, registries, brand store locators and business websites, then reconcile everything into one resolved place.

Every field carries provenance, so you can see which source and method produced it. We do not present API-sourced data as scraped or vice versa — and if an attribute is only available through paid API access in your market, we tell you during scoping rather than substituting a weaker source silently.

Because every single source has systematic gaps. Coverage differs by category — independent trades, clinics and B2B premises are frequently thin on mapping platforms and better in directories or registries. Attribute freshness differs too: hours on one source can be two years stale while another is current.

Reconciliation lets us prefer the fresher observation per field and confirm existence across independent sources. We keep sources_matched on every record, because a place confirmed by four sources is stronger evidence than one appearing on a single directory.

Either an explicit closure signal, or agreement across independent sources — never a single source dropping the listing, because sources drop listings for their own data reasons all the time.

Every record carries confidence_basis stating which applied, and temporary and permanent closure are separate states. Where evidence is genuinely mixed, the record says so rather than us resolving the ambiguity for you. Stale closures are the most expensive error in this category — they waste field visits and inflate market sizing unevenly.

Rating, review count, rating movement and review velocity, yes — these are reputation metrics about a business. Reviewer names, reviewer profiles, reviewer history and individual attributable review text are not part of the deliverable.

This occasionally costs us work, since some buyers want reviewer-level data for sentiment analysis. We would rather decline than assemble profiles of identifiable individuals. Aggregate sentiment on public content is available through our social media data service with the same boundary applied.

We deliver a confidence score on every record rather than a single headline accuracy figure, because precision varies by market and by how the address was published. Our standard threshold is 0.94, and records below your chosen threshold arrive flagged rather than dropped.

This matters for catchment work: a place geocoded from a full verified address and one geocoded from a partial address are not equivalent inputs to a distance calculation. With a confidence score you can filter, rather than inheriting false precision.

Partially, and we are honest about the limits. Independent trades, small clinics, B2B premises and rural businesses are genuinely thin on consumer mapping platforms. Multi-source reconciliation helps — registries and sector directories often cover what mapping platforms miss — but some categories will remain incomplete.

We assess this per category and per market during scoping and give you an expected coverage estimate, rather than promising a complete universe that does not exist in any public source.

Yes, with first-seen dates on every place. New openings are a strong expansion signal, particularly for tracking competitor or franchise growth ahead of any announcement.

One caveat worth knowing: a place appearing for the first time can mean a genuine new opening or simply that a source has newly listed an existing business. We flag which pattern the evidence supports, and confirmation across sources raises confidence that it is a real opening rather than a listing artefact.

North America and Western Europe are strongest, with dense directory ecosystems and good registry data. India has excellent coverage in metros through both mapping platforms and local directories. GCC markets are good in cities. Coverage thins in rural areas globally and in markets where informal business is common.

We give a per-market, per-category coverage estimate during scoping. In some markets a registry-based approach outperforms mapping platforms entirely, and we will recommend that rather than defaulting to the source everyone expects.

We quote individually. The drivers are geographic scope, category breadth, refresh frequency, and critically whether your markets require paid API access for key attributes — that cost is passed through and can dominate for large geographies.

A defined competitor footprint in specific metros refreshed monthly sits at the lighter end. National multi-category universes with frequent refresh and heavy API dependence sit considerably higher. One scoping call, a free pilot on your own geography and categories within 48 hours, then a fixed monthly quote. Request a quote.