Outscraper Google Maps vs Search API

Outscraper and search APIs serve different purposes for local business data. Outscraper scrapes Google Maps directly (per-record pricing, anti-bot risk, detailed business profiles). A search API returns structured local pack data from Google SERPs (per-query pricing, reliable infrastructure, ranking context). They provide different data at different reliability levels with different cost models. Choosing wrong wastes money on data you do not need.

What Outscraper provides

Outscraper crawls Google Maps and extracts: business name, address, phone, website, hours, photos, review text, owner responses, place ID, latitude/longitude, and category tags. Pricing is per record: roughly $0.002-0.004 per business extracted. For lead generation (collecting contact info for outreach), this is the right tool. The risk: Google actively fights scrapers, so reliability varies and data freshness is not guaranteed.

What a search API provides

A search API returns local pack results as they appear in Google SERPs: business name, rating, review count, type, address, and critically, the ranking position. You get the top 3-5 businesses Google shows for a query. This is competitive intelligence data: who ranks in the local pack, how they compare on ratings, what Google considers relevant for each query. Pricing is per query: $0.005 per search.

Different data for different questions

• Need 500 dentist phone numbers in Phoenix? Outscraper.
• Need to know who ranks #1 in local pack for "dentist Phoenix"? Search API.
• Need review text to analyze sentiment? Outscraper.
• Need to track local pack positions over time? Search API.
• Need business hours and photos for a directory? Outscraper.
• Need to monitor competitor visibility in local search? Search API.

Search API for competitive intelligence

import requests, os

H = {"x-api-key": os.environ["SCAVIO_API_KEY"]}

def local_pack_analysis(queries: list[str]) -> list[dict]:
    """Get local pack rankings for competitive analysis."""
    results = []
    for q in queries:
        resp = requests.post("https://api.scavio.dev/api/v1/search",
            headers=H,
            json={"platform": "google", "query": q},
            timeout=10)
        data = resp.json()
        local_pack = data.get("local_pack", [])

        results.append({
            "query": q,
            "pack_size": len(local_pack),
            "businesses": [{
                "name": b.get("name"),
                "rating": b.get("rating"),
                "reviews": b.get("reviews"),
                "position": i + 1
            } for i, b in enumerate(local_pack)]
        })
    return results

# Example: Who dominates "plumber" searches in Dallas suburbs?
queries = [
    "plumber Plano TX",
    "plumber Frisco TX",
    "plumber McKinney TX",
    "emergency plumber Dallas TX"
]
landscape = local_pack_analysis(queries)
# Cost: 4 queries = 4 credits = $0.02

Cost comparison by use case

# Use case 1: Lead gen (500 businesses)
# Outscraper: 500 records x $0.003 = $1.50
# Search API: Not ideal for bulk contact extraction

# Use case 2: Competitive monitoring (50 keywords, daily for 30 days)
# Outscraper: Not designed for ranking tracking
# Search API: 50 x 30 = 1,500 queries = $7.50/month

# Use case 3: Market research (200 businesses across categories)
# Outscraper: 200 x $0.003 = $0.60 (one-time, detailed data)
# Search API: 20 queries covering 200 businesses in local packs = $0.10
#   (less detail per business, but includes ranking context)

# Use case 4: Review monitoring (track rating changes monthly)
# Outscraper: Re-scrape 200 businesses monthly = $0.60/month
# Search API: 20 queries monthly = $0.10/month (ratings only, no review text)

Reliability differences

Outscraper reliability depends on avoiding Google anti-bot measures. Success rates vary from 85-99% depending on volume and timing. When scraping fails, you get partial data or nothing. A search API provides consistent structured results because it accesses SERP data through legitimate infrastructure. Uptime is typically 99%+. For production workflows that run daily, reliability matters more than per-record cost savings.

The hybrid approach

Many teams use both: search API for daily competitive monitoring (who ranks where, rating changes, new entrants) and Outscraper for periodic bulk extraction (quarterly lead list refresh, one-time market studies). The search API is your always-on monitoring layer. Outscraper is your periodic deep-dive tool. Together they cover both continuous intelligence and detailed business data without paying for features you do not use daily.