Google Reviews API: Legal Considerations and Alternatives

Scraping Google reviews directly violates Google's Terms of Service and risks IP blocks, legal action, and data quality issues. Using a search API to access review data through Google's own search results is the legally defensible alternative that returns structured review snippets without scraping.

Legal Risks of Direct Scraping

Google's ToS explicitly prohibit automated access to Google Maps and review data. Companies that have scraped Google reviews at scale have received cease-and-desist letters. The hiQ v. LinkedIn ruling (2022) established that scraping publicly accessible data is not automatically illegal under the CFAA, but Google's terms create a contractual barrier that scraping violates.

The practical risk: Google blocks scraper IPs aggressively, rotates DOM structures to break parsers, and has sent legal notices to scraping services that specifically target Google Maps data.

The Search API Approach

Instead of scraping Google Maps directly, search for the business name + "reviews" through a search API. Google's own search results include review snippets, ratings, and review counts in structured data. This accesses review data through Google's public search interface, not through unauthorized API access.

import requests, os

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

def get_review_data(business_name, location):
    """Get review data via search results, not scraping."""
    r = requests.post("https://api.scavio.dev/api/v1/search",
        headers=H,
        json={
            "platform": "google",
            "query": f"{business_name} {location} reviews"
        },
        timeout=10
    ).json()

    review_data = {
        "business": business_name,
        "location": location,
        "search_results": [],
    }

    for item in r.get("organic", []):
        review_data["search_results"].append({
            "title": item.get("title", ""),
            "url": item.get("link", ""),
            "snippet": item.get("snippet", ""),
        })

    # Local pack results often include ratings
    local = r.get("localPack", [])
    if local:
        review_data["local_results"] = [
            {
                "name": loc.get("title", ""),
                "rating": loc.get("rating"),
                "reviews": loc.get("reviews"),
            }
            for loc in local
        ]

    return review_data

data = get_review_data("Blue Bottle Coffee", "San Francisco")
for result in data.get("local_results", []):
    print(f"{result['name']}: {result.get('rating')} stars")

Monitoring Review Sentiment Over Time

Track how review sentiment changes by running periodic searches and comparing review counts and ratings. This works for competitive intelligence and reputation monitoring without maintaining scrapers.

import json
from datetime import datetime

def track_reviews(businesses, location):
    """Track review metrics for multiple businesses."""
    snapshot = {
        "date": datetime.now().strftime("%Y-%m-%d"),
        "businesses": []
    }
    for biz in businesses:
        data = get_review_data(biz, location)
        local = data.get("local_results", [{}])
        snapshot["businesses"].append({
            "name": biz,
            "rating": local[0].get("rating") if local else None,
            "review_count": local[0].get("reviews") if local else None,
        })
    return snapshot

competitors = ["Blue Bottle Coffee", "Starbucks", "Philz Coffee"]
snapshot = track_reviews(competitors, "San Francisco")
print(json.dumps(snapshot, indent=2))

What You Cannot Get Without Scraping

Search API results include aggregate ratings, review counts, and review snippets from search results. They do not include individual review text, reviewer names, or review dates. For those fields, you need Google's official Places API ($17/1K requests for Place Details) or a scraping approach with the associated legal risks.

Google Places API as Middle Ground

Google's official Places API provides review data legitimately. It costs $17 per 1000 requests for Place Details (which includes reviews). At $0.017/request, it is more expensive than search API approaches but fully compliant. For most monitoring use cases, the review snippets available through search results are sufficient without needing individual review text.