Google Maps Leads: API vs Outscraper in 2026

Outscraper is easier for one-time Maps pulls. Scavio's API is far cheaper at scale and adds Google organic enrichment from the same key. Both return the same structured business data — name, address, phone, website, rating, review count. The difference is that Outscraper is point-and-click with no code, while the API approach fits automated pipelines and costs less at any volume above 100 leads per month.

What Outscraper does well

Outscraper specializes in Google Maps data extraction. You give it a query ("plumbers in Chicago"), and it returns structured business data: name, address, phone, website, rating, review count, hours, and category. The interface is point-and-click, no code required. It also offers a Google Maps Reviews scraper that pulls individual reviews, which is useful for reputation analysis.

Setup time is minimal. Sign up, enter a query, get results. For non-technical users who need Maps data occasionally, this simplicity is the primary value.

Outscraper pricing

Outscraper uses a credit system. Google Maps scraping costs 2 credits per place (business record). Credits start at $2 per 1,000 credits on the pay-as-you-go plan. That works out to $0.004 per business record for Maps data. Monthly plans offer volume discounts: $25/month for 25,000 credits, $50/month for 60,000 credits.

The catch: enrichment beyond Maps requires separate Outscraper products (Google Search results, Emails and Contacts scraper), each with their own credit costs. A full lead enrichment pipeline through Outscraper can cost 6-10 credits per lead when you combine Maps data, email extraction, and web search.

The API approach

A search API that supports Maps queries returns the same structured business data: name, address, phone, website, rating, reviews. The difference is that the same API also provides Google organic search, giving you web results, news, and additional context through a single integration.

import os
import httpx

API = "https://api.scavio.dev"
H = {"Authorization": f"Bearer {os.environ['SCAVIO_API_KEY']}"}

async def get_leads_with_enrichment(query: str, location: str) -> list:
    """Maps discovery + web enrichment in one API."""
    async with httpx.AsyncClient(headers=H, timeout=90) as client:
        # Step 1: Maps data (same as Outscraper), up to 20 places per request
        maps_resp = await client.post(
            f"{API}/api/v2/google/maps/search",
            json={"query": f"{query} in {location}", "gl": "us", "hl": "en"},
        )
        maps_resp.raise_for_status()
        businesses = maps_resp.json().get("local_results", [])

        # Step 2: Enrich top prospects with Google web results
        enriched = []
        for biz in businesses[:10]:
            name = biz.get("title", "")
            web_resp = await client.post(
                f"{API}/api/v2/google",
                json={"query": f"{name} {location} reviews hiring news", "gl": "us", "hl": "en"},
            )
            web_resp.raise_for_status()
            enriched.append({
                "name": name,
                "address": biz.get("address"),
                "phone": biz.get("phone"),
                "website": biz.get("website"),
                "rating": biz.get("rating"),
                "reviews": biz.get("reviews"),
                "web_signals": [
                    {"title": r.get("title"), "link": r.get("link"), "snippet": r.get("snippet", "")}
                    for r in web_resp.json().get("organic_results", [])[:3]
                ],
            })
        return enriched

# Cost: 1 maps query + 10 web queries = 11 requests, 1 credit each

Cost comparison at different volumes

Scavio at the Growth-yearly rate: $2 per 1,000 credits, 1 credit per request
(pay-as-you-go is $0.01 a credit)

Volume: 100 leads/month (discovery only, no enrichment)
  Outscraper: 200 credits = $0.40 (pay-as-you-go)
  Search API: 5 queries at $0.002 = $0.01
  Winner: Search API

Volume: 1,000 leads/month (discovery only)
  Outscraper: 2,000 credits = $4.00
  Search API: 50 queries at $0.002 = $0.10
  Winner: Search API

Volume: 1,000 leads/month (discovery + web enrichment)
  Outscraper: 2,000 Maps + 1,000 Search credits = $6.00
  Search API: 50 Maps + 1,000 web queries = 1,050 credits = $2.10
  Winner: Search API

Volume: 10,000 leads/month (discovery + enrichment)
  Outscraper: $50/month plan (60K credits)
  Search API: 500 Maps + 10,000 web = 10,500 credits = $21.00
  Winner: Search API per credit, and the same key covers enrichment

When Outscraper wins

Outscraper wins when you need Maps data only, do not write code, and want results in a CSV without any development work. Its review scraping feature is also stronger than what most search APIs offer. If your use case is "export all dentists in Phoenix with their ratings and phone numbers," Outscraper does this in 2 minutes with zero code.

Outscraper also wins for one-time bulk extractions. If you need 50,000 business records from Maps as a one-time project, its batch processing and export features handle this more conveniently than writing a script.

When the API approach wins

The API approach wins when you need enrichment beyond Maps data, when you are building automated pipelines, or when Maps is one step in a larger workflow. If your lead gen pipeline goes Maps discovery, web enrichment, email verification, CRM push, the API approach integrates into this pipeline naturally. Outscraper requires a separate export-and-import step.

The API approach also wins for recurring workflows. If you pull leads daily or weekly, an API call in a cron job or n8n workflow is simpler than managing Outscraper batch jobs and CSV downloads.

# Recurring lead pipeline: runs daily via cron
import asyncio
import json
from datetime import date

async def daily_lead_run():
    queries = [
        ("marketing agency", "Austin TX"),
        ("web design agency", "Dallas TX"),
        ("IT services", "Houston TX"),
    ]
    all_leads = []
    for query, location in queries:
        leads = await get_leads_with_enrichment(query, location)
        all_leads.extend(leads)

    filename = f"leads_{date.today().isoformat()}.json"
    with open(filename, "w") as f:
        json.dump(all_leads, f, indent=2)

    # Cost: 3 cities * 11 requests = 33 credits/day
    return all_leads

asyncio.run(daily_lead_run())

The hybrid option

Use Outscraper for initial bulk extraction and review data. Use a search API for ongoing enrichment and automated pipelines. This gives you Outscraper's convenience for one-time pulls and the API's flexibility for daily operations. Most teams that start with Outscraper eventually add API access when they need automation or enrichment beyond Maps.

Scoring the list is what makes it usable

Both routes above hand you the same thing: a few thousand rows. That is not a lead list, it is a directory dump, and working it top to bottom is why most Maps-sourced outreach fails.

The enrichment step is where the value is, and the useful signals are all absences rather than attributes. For agencies selling web work, four fields sort a list faster than anything else:

• No website at all. The strongest single signal, and it is a field on the Maps result rather than something you infer.
• Website present but no valid SSL. Signals a site nobody has touched in years, which is a different and often better conversation than "you have no site".
• No opening hours set. A proxy for a listing nobody maintains.
• Newest review over a year old. The business is running, but its online presence is not.

A business hitting three of the four is a qualified lead. One hitting none of them has an agency already. Applied to a 2,000-row pull, this typically leaves 30 to 60 businesses worth a call, and that reduction is the entire difference between a list you use and a list you abandon.

The order matters too. Pull Maps first, score second, and only enrich the survivors with anything that costs money per row. Enriching all 2,000 before filtering is the most common way these pipelines get expensive for no return.

This is also the part that does not care which extraction route you picked. Outscraper or API, the scoring logic is yours either way, and it is worth more than the extraction step it sits on top of.