Google Maps Extractor Apifyv1.0.0

A digital marketing agency needs to build targeted local SEO prospect lists for clients in specific cities and niches. They run keyword-based Google Maps searches, collect addresses, phone numbers, websites, ratings, and review counts, then prioritize outreach based on reputation gaps and proximity. The output feeds directly into their CRM and monthly reporting dashboards.

A B2B sales team wants to enrich incomplete lead records with verified Google Maps business data, including websites, phone numbers, and Place IDs. They use Place IDs to pull exact place details and optionally scrape public website contacts like emails and social links. This removes manual research and increases email deliverability and call connect rates.

A retail chain with dozens of locations needs an accurate, up-to-date store locator dataset including coordinates, opening hours, and Google Maps URLs. They run searches per city or by known Place IDs and schedule refreshes to catch changed hours, closures, and rating updates. The structured dataset powers their website locator and mobile app.

A strategy analyst at a restaurant or hospitality group wants to map competitors in targeted neighborhoods, comparing ratings, review counts, categories, and popular times. They run area-based or all-visible collection over specific local zones and enrich with place details like menus, reservation options, and order-online links. The findings feed quarterly market positioning decks.

A commercial real estate or home services company needs a list of nearby businesses by category, complete with addresses, websites, and public contact emails. They use keyword searches plus website contact enrichment to build outreach campaigns for tenant leads or service partnerships. The dataset is exported to Sheets, Airtable, or n8n for automated follow-up.

A software product embeds the skill inside its own UI, letting users define search keywords, locations, and limits without touching code. Each run consumes metered credits tied to place counts, paid add-ons, and Apify compute costs. This creates predictable recurring revenue while keeping the underlying scraping complexity hidden.

An agency sells curated local business lead lists, competitor maps, or store locator datasets as one-time or monthly deliverables. They use the skill's quick-search, URL, and Place ID modes to fulfill client briefs fast, then add enrichment and formatting before delivery. Margin comes from the gap between Apify run costs and the value of clean, ready-to-use data.

A marketing automation or CRM vendor integrates the skill as a native data source for local campaign builders. Users spin up audience segments by city and category, then enrich them with contacts and push them into email or ad campaigns. The vendor monetizes through higher-tier plans that unlock enrichment, scheduling, and higher volume limits.