Sharing a data source I maintain for pulling structured Google Maps place records in bulk.<\/p>\n
What you get per goole maps place:<\/h1>\n
business name, full address, latitude\/longitude, phone, website, rating and review count, category, and price level. An optional Rich Details mode adds opening hours, category types, a short description, a photo thumbnail, and the Google Place ID.<\/p>\n
How you query google maps place records:<\/h1>\n
give it search terms like “hardware stores in Denver, CO” or “dentists in 90210”, set a max per term, and it pages Google Maps until it reaches that count. Output is one JSON row per place, ready for a dataframe or a map layer.<\/p>\n
Coverage and format:<\/h1>\n
results arrive in pages of about 20, and a term returns as many places as Maps will surface for it. It reads Google Maps through a structured search API rather than a headless browser, so rows stay consistent across large pulls.<\/p>\n
A few limits to keep in mind:<\/h1>\n
no emails or social profiles, so it is raw place data, not contact enrichment. Standard rows omit hours, photos, and Place ID unless Rich Details is on.<\/p>\n
Pricing is per place returned, with a standard tier and a rich-detail tier.<\/p>\n
Disclosure: this is my own Actor on Apify, so the link is a paid product.<\/p>\n
Source: Google Maps Places Scraper on Apify<\/a><\/p>\n<\/div>\n submitted by \/u\/ApifyEnthusiast1 <\/a>
[link]<\/a><\/span> [comments]<\/a><\/span><\/p>
