Google Places API costs $170–200 per 10,000 records. Here's what to use instead — and how to cut costs by 75%+.
If you've ever tried to pull local business data from Google Places API, you know the feeling: you start a project, hit the free tier limit in a few hours, and suddenly you're staring at a $200+ invoice for what felt like a simple data pull.
Google Places API is powerful — but it was designed for map rendering and location lookup, not bulk business data extraction. If your goal is to get business names, phone numbers, addresses, categories, and ratings for lead generation, market research, or competitive analysis, you're using the wrong tool — and paying 10x what you should.
This guide breaks down exactly what Google Places API costs for business data use cases, why it's often the wrong choice, and what alternatives actually work in 2026.
Google Places API is part of Google Maps Platform. It lets you search for businesses by location and category, retrieve details like phone numbers, websites, hours, and ratings, and get photos and reviews.
Sounds perfect for business data, right? Here's the problem: the pricing is structured around map app usage, not data pipelines.
| Request Type | Cost per 1,000 Requests |
|---|---|
| Nearby Search | $32.00 |
| Text Search | $32.00 |
| Place Details (Basic) | $17.00 |
| Place Details (Contact) | $3.00 add-on |
| Place Details (Atmosphere) | $5.00 add-on |
| Find Place | $17.00 |
Monthly free credit: $200 (resets monthly)
50 cities × 10 categories = 500 searches ($16) + 10,000 Place Details ($170) = $186 for one data pull — nearly your entire free credit. Do that twice a month and you're paying real money.
Google Places API was built for a specific use case: powering map widgets in apps. When you search "coffee shops near me" on a website, that's Places API doing its job. For that use case, the pricing makes sense.
But if you're trying to:
...you're not building a map app. You're running a data pipeline. And Google's pricing model punishes data pipelines.
There's also a terms-of-service issue. Google's ToS restricts using Places API data for certain commercial purposes, storing data beyond caching limits, and using the data to compete with Google. If you're building a leads database, read the fine print carefully.
Best for: Sales prospecting, lead generation, local business data at scale
SocketsIO Leads API is purpose-built for extracting local business data. Unlike Google Places API, it's designed for bulk data extraction — not map rendering — so the pricing reflects actual data use cases.
What you get:
| Plan | Price | Requests/Month |
|---|---|---|
| Free | $0 | 100 requests |
| Basic | $19/month | 5,000 requests |
| Pro | $49/month | 20,000 requests |
Google Places API: ~$170–200 | SocketsIO Leads API Pro: $49/month (covers 20,000 records) — roughly 75% cheaper for the same data.
Quick start — Python:
import requests
response = requests.get(
"https://leads.socketsio.com/v1/search",
params={
"query": "plumbers",
"location": "Austin, TX",
"limit": 50
},
headers={"Authorization": "Bearer YOUR_API_KEY"}
)
businesses = response.json()["results"]
for biz in businesses:
print(f"{biz['name']} | {biz['phone']} | {biz['website']}")JavaScript / Node.js:
const response = await fetch(
'https://leads.socketsio.com/v1/search?query=restaurants&location=Chicago,IL&limit=50',
{
headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
}
);
const { results } = await response.json();
results.forEach(biz => {
console.log(`${biz.name} | ${biz.phone} | ${biz.rating} stars`);
});Best for: Mapping applications, open-source projects, non-commercial use
OpenStreetMap (OSM) is a community-maintained map database that's completely free. The Overpass API lets you query it programmatically.
Completely free · No rate limits for reasonable use · Good urban coverage · Great for mapping and routing
Business data quality varies · Phone/website often missing · No ratings or reviews · Requires Overpass query language
[out:json];
node["amenity"="restaurant"]["addr:city"="Austin"](30.1,-97.9,30.5,-97.5);
out body;OSM is excellent for mapping use cases but falls short for sales prospecting where data completeness matters.
Best for: Enterprise mapping applications, automotive, logistics
HERE is one of the largest mapping data providers in the world, with strong coverage in Europe and enterprise-grade reliability. Free tier: 250,000 transactions/month. Enterprise pricing is custom. Strong for automotive and logistics, but expensive at scale for business data extraction and not optimized for bulk lead generation.
Best for: POI data, consumer apps, venue recommendations
Foursquare has one of the richest POI datasets outside of Google. Free tier: 1,000 API calls/day. Paid plans start around $599/month for commercial use. Rich venue data with categories and popularity signals, but expensive for bulk extraction and limited contact data.
Best for: One-time data pulls, researchers, small-scale projects
Services like Outscraper and Apify offer Google Maps scraping as a managed service. Pricing: ~$1–3 per 1,000 records. No code required, often cheaper for one-time pulls — but scraping is against Google's ToS, data quality varies with no SLA, and it can break without warning when Google changes its markup.
| Provider | 10K Records Cost | Real-time | ToS-safe | Contact Data | Ratings |
|---|---|---|---|---|---|
| Google Places API | ~$170–200 | ✅ | ✅ | ✅ | ✅ |
| SocketsIO Leads API | ~$49/mo | ✅ | ✅ | ✅ | ✅ |
| OpenStreetMap | Free | ✅ | ✅ | ⚠️ Incomplete | ❌ |
| HERE Places | ~$100+ | ✅ | ✅ | ⚠️ Limited | ⚠️ |
| Foursquare | ~$599+/mo | ✅ | ✅ | ⚠️ Limited | ✅ |
| Outscraper | ~$10–30 | ❌ | ❌ | ✅ | ✅ |
Let's say you want to find 2,000 local businesses in your city — restaurants, retail shops, and service businesses that have low ratings or no website.
With Google Places API:
import googlemaps
gmaps = googlemaps.Client(key='YOUR_API_KEY')
# Search for restaurants in Austin
places = gmaps.places_nearby(
location=(30.2672, -97.7431),
radius=10000,
type='restaurant'
)
# This costs $32 per 1,000 requests just for the search
# Then $17 per 1,000 for details
# For 2,000 businesses: ~$98 in API costsWith SocketsIO Leads API:
import requests
API_KEY = "YOUR_SOCKETSIO_KEY"
BASE_URL = "https://leads.socketsio.com/v1"
categories = ["restaurant", "retail", "plumber", "electrician", "salon"]
all_leads = []
for category in categories:
resp = requests.get(
f"{BASE_URL}/search",
params={
"query": category,
"location": "Austin, TX",
"limit": 400,
"no_website": True # filter for businesses without websites
},
headers={"Authorization": f"Bearer {API_KEY}"}
)
all_leads.extend(resp.json()["results"])
# Filter for low ratings (potential improvement opportunities)
low_rated = [b for b in all_leads if b.get("rating", 5) < 3.5]
print(f"Found {len(low_rated)} potential leads")
# Cost: covered by $19/month Basic planThe SocketsIO version costs $19/month and covers 5,000 requests. The Google Places version would cost $98+ for a single run.
Google's ToS restricts certain commercial uses of Places API data, including storing data beyond caching limits and using it to build competing products. For lead generation at scale, use a purpose-built API like SocketsIO that's designed and licensed for this use case.
SocketsIO Leads API pulls from multiple data sources and refreshes regularly. For most urban and suburban markets, accuracy is comparable to Google Places. Coverage in rural areas may be thinner.
SocketsIO Leads API includes email addresses where publicly available (typically from business websites). This is typically 30–60% of records depending on the industry.
Basic allows 5,000 requests/month; Pro allows 20,000/month. For higher volumes, contact sales for enterprise pricing.
SocketsIO Leads API is purpose-built for local business data extraction — 75% cheaper than Google Places API, ToS-compliant, and ready in minutes.
Start Free — 100 Requests, No Credit Card Basic plan $19/month · Pro plan $49/month · Cancel anytimeSocketsIO also offers a Translation API — 195 languages, 90% cheaper than Google Translate, with a v2-compatible endpoint. If you're building multilingual apps alongside your local business tools, it's worth a look.