Gmap Data vs Apify: Pricing, Features & Use Cases

Short answer: Apify gives you a powerful, flexible scraper on a general-purpose automation platform from $1.50 per 1,000 places plus your platform plan, while Gmap Data is a managed product that charges only for saved, deduplicated businesses with contact evidence. Apify is the better fit when you need browser-level flexibility or an actor ecosystem; Gmap Data is the better fit when you want the list, not the machinery.

• •Raw flexibility: browser automation scrapes fields and quantities that official-API tools do not offer, and the actor's own page states it bypasses the 120-places-per-area limit.
• •The apify platform adds scheduling, webhooks, integrations and an API around the actor.
• •The actor ecosystem is large; if you need several different scrapers, one platform account can run them all.
• •Pay-per-event pricing means small experiments are cheap.

• •The per-place price is not the whole bill: the platform plan/compute is separate, and contacts, leads, reviews and direct place-ID detail extraction are paid add-ons.
• •It is infrastructure you have to operate: input configuration, dataset merging and de-duplication across runs are your responsibility.
• •No saved-row list, suppression handling or per-contact evidence workflow.
• •The actor's own docs are explicit that some fields (image categories, people-also-search) have a low success rate because Google gates them behind login.

• •One bill covering the platform: 1 credit per saved business, no compute meter, no storage meter.
• •Deduplication by place id before saving means a re-run or an overlapping search never charges twice.
• •Contact evidence (source, quality class, verification result) is attached to each discovered email.
• •A review workspace - projects, suppression handling, completeness metrics - instead of a dataset to post-process.
• •Built on Google's official Places APIs rather than browser automation, which keeps the fields and the request pattern predictable.

• •It is roughly 27x more expensive per 1,000 businesses than the actor's base price plus its email actor on the observed numbers ($98 per 1,000 across two Lite months versus ~$3.60 plus platform costs).
• •No API, no MCP server, no browser-automation flexibility and no actor ecosystem.
• •It extracts business and contact data only; no review text, images or competitor-analysis reports.

• •Technical teams that want a programmable scraper inside an existing automation platform.
• •Buyers who need fields (deep review data, images, custom scraping logic) that a managed product will never expose.
• •Projects that will combine several scrapers and integrations in one place.

• •Operators who want a finished list and an export, not a pipeline to maintain.
• •Teams for whom deduplication and per-row evidence are the point, not an afterthought.
• •Buyers who prefer official-API data and a flat, predictable monthly bill.