Turn Google Maps into
your lead source.
Extract data from thousands of Google Maps locations and businesses — reviews, reviewer details, images, contact info, opening hours, prices and more. Pick a query, pick a city, get a clean dataset back in minutes.
› query="dentists"
› location="Austin, TX"
› contacts=true
From query to dataset in three steps.
Describe your search
Pick a query ("yoga studios", "orthodontists", "vegan restaurants") and a location. Optionally enable contact enrichment to pull emails and social links from each business's website.
We run the scrape
Job lands in a queue. We hit Google Maps via our distributed scrape network — no bans, no captcha walls. Progress is live; you can close the tab and we'll email you when it's done.
Export anywhere
Download as CSV or JSON, fire a webhook into your warehouse, or hit the REST/x402 API. The dataset is yours — no DRM, no usage cap on what you've already paid for.
Twelve fields per place. Clean. Normalized. Queryable.
Every row is the same shape no matter what you searched for or where. Phone numbers are normalized to E.164. Addresses are split into street, city, state, postal, country. Emails are deduped per site. Opening hours come back as a JSON array, not a free-text string a regex won't survive.
From "I need leads by Friday" to "this is our weekly data feed."
One scraper, six workflows, one queryable dataset. Most teams start with outbound and end up running four of these at once.
Outbound sales lists
Build qualified prospect lists in minutes. Pull business names, websites, emails, and direct phones for every plumber in Phoenix, every law firm in Boston, every yoga studio within a 5-mile radius.
Competitor tracking
Track where competitors operate, how they're rated, how many reviews they've collected this month, and where they're growing fastest. Schedule weekly re-scrapes so the dataset stays fresh.
Market analysis
Analyze market saturation by ZIP code. Find service gaps where the category exists but the rating bar is low. Benchmark local operators by review count, average rating, and pricing tier.
Partnerships
Discover top-rated or highest-volume locations for outreach. Filter by 4.5+ stars and 500+ reviews to find candidates for a co-marketing program, affiliate roster, or distribution deal.
Local SEO ops
Audit your local presence (and your clients') across every city you operate in. Watch for missing GBP fields, broken websites, off-brand categories, and competitor encroachment on your keywords.
Research workflows
Replace manual Google Maps searches with repeatable jobs. Save a query, queue weekly scrapes, pipe results into your warehouse via webhook. The dataset stays current; the work stops.
REST, MCP, webhook, or pay-per-call x402.
Ounie accounts get a REST API with bearer-token auth and a native MCP server that drops into Cursor, Claude, ChatGPT, or the AI SDK — your assistant can scrape, poll, and export without writing any glue. One-off scripts can hit our x402 endpoint and pay per request in USDC. Same data, same schema.
// One request. Streaming results.
const res = await fetch("https://google-maps.ounie.com/api/scrape", {
method: "POST",
headers: {
"Authorization": "Bearer ${API_KEY}",
"Content-Type": "application/json",
},
body: JSON.stringify({
query: "dentists",
location: "Austin, TX",
max_places: 1000,
contact_details: true,
}),
});
const { job_id } = await res.json();
// → poll /api/jobs/${job_id} or wait on the webhookPay for places. Not seats, not setup, not surprises.
One scraped place costs 2 Ounie credits (3 with contact enrichment) — the same wallet every Ounie product shares. You are only charged for places actually returned; unused reserves refund automatically. AI agents can skip the account entirely and pay per call in USDC via x402.
The questions we get on the first call.
Sign in with Ounie, run your first scrape in 90 seconds.
Pay for places in credits, not seats. No subscription — keep every row you've already pulled.