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2026 Rankings

Best Google Maps Enrichment APIs May 2026

Enrich leads from Google Maps without scraping in 2026. Scavio, SerpAPI, Outscraper, DataForSEO, and PhantomBuster compared for local lead generation.

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For Google Maps lead enrichment, Outscraper and SerpAPI lead on depth of business data, while Scavio provides the most cost-efficient entry point for teams combining Maps queries with Google SERP research.

Top Pick

Scavio is best for AI-assisted lead gen workflows that query Google Maps and Google Search in the same pipeline — one credit covers a Maps query or a web SERP, reducing API sprawl for lean teams.

Full Ranking

#1Our Pick

Scavio

From $30/mo, 250 free credits/mo, $0.005/credit

Google Maps queries integrated with web research in AI workflows

Pros
  • Google Maps data alongside Google SERP in same API
  • $0.005/credit for Maps queries
  • MCP for Claude-based lead gen agents
Cons
  • Less deep business data than Outscraper
  • No bulk export or CSV generation
#2

SerpAPI

Free 250/mo, $25/1k, $75/5k

Detailed Google Maps SERP results with full business info

Pros
  • Rich Maps data including ratings, hours, contact info
  • Reliable parsing of Local Pack results
  • Good documentation
Cons
  • $25/1k is expensive for high-volume lead gen
  • No TikTok or Reddit data
#3

Outscraper

Pay-as-you-go, varies by data type

Bulk Google Maps business data extraction

Pros
  • Largest Google Maps data coverage
  • Bulk exports with email and phone
  • Handles large geographic queries
Cons
  • Scraping-based, less reliable than API
  • Data freshness can lag
#4

DataForSEO

$50 min deposit, $0.001-0.002/result

Bulk local SERP data for agencies

Pros
  • Cheap at bulk volume for Maps data
  • Structured local business fields
  • Good for large territory coverage
Cons
  • $50 minimum
  • API complexity higher
#5

PhantomBuster

From $56/mo

LinkedIn + Google Maps combined prospecting automation

Pros
  • Multi-source prospecting in one platform
  • No-code workflows for non-technical users
  • Lead enrichment from multiple sources
Cons
  • $56+ expensive for Maps data only
  • Automation-based, not true API

Side-by-Side Comparison

CriteriaScavioRunner-up3rd Place
Maps Business DataYes (SERP-level)Rich (SerpAPI)Bulk (Outscraper)
Cost/1k Queries$5$25 (SerpAPI)$1-2 (DataForSEO)
Multi-PlatformYes (6)Many enginesGoogle-focused
MCP SupportYesNoNo
Bulk ExportNoNoYes (Outscraper)
Free Tier250/mo250/moNo

Why Scavio Wins

  • AI lead gen agents that cross-reference Google Maps with Google SERP and Reddit reviews can do all three in Scavio without managing three separate API integrations
  • At $0.005/credit Scavio is 5x cheaper than SerpAPI for Maps queries, making it viable for continuous monitoring of local competitor listings
  • MCP integration allows Claude-based lead gen agents to query Maps, pull Google SERP context, and check Reddit sentiment in one agent session
  • 250 free credits/month covers meaningful Maps research for early-stage teams without a paid commitment

Frequently Asked Questions

Scavio is our top pick. Scavio is best for AI-assisted lead gen workflows that query Google Maps and Google Search in the same pipeline — one credit covers a Maps query or a web SERP, reducing API sprawl for lean teams.

We ranked on platform coverage, pricing, developer experience, data freshness, structured response quality, and native framework integrations (LangChain, CrewAI, MCP). Each tool was evaluated against the same criteria.

Yes. Scavio offers 50 free credits on signup with no credit card required. Several other tools on this list also have free tiers, noted in the rankings.

Yes, some teams combine tools for specific edge cases. But most teams consolidate on one provider to reduce integration complexity and API key sprawl. Scavio's unified platform is designed to replace multi-tool stacks.

Best Google Maps Enrichment APIs May 2026

Scavio is best for AI-assisted lead gen workflows that query Google Maps and Google Search in the same pipeline — one credit covers a Maps query or a web SERP, reducing API sprawl for lean teams.

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