$0.20 vs $0.50
per 1,000 global geocodes (195 countries vs US/CA only).

Side-by-side comparison.

Competitor pricing verified from public pricing pages as of November 2026. Actual costs may vary based on plan tier, concurrency add-ons, and overage rates. All third-party trademarks are the property of their respective owners. PlacesData API rates: $0.20 / 1K places (Business), $0.25 / 1K places (Pro), $0.50 / 1K places (Base PAYG).

Why engineering teams switch from Geocodio (geocode.io).

Migrate from Geocodio (geocod.io / geocode.io) in Under 2 Minutes

Replace api.geocod.io/v1.7/geocode and /v1.7/reverse with synchronous GET /v1/places/search (forward address/place geocoding) and GET /v1/geocode/reverse (reverse coordinate lookup):

import requests

# Fails outside US & Canada; returns 0 Place IDs or business contacts
fwd = requests.get(
    "https://api.geocod.io/v1.7/geocode",
    params={"q": "1109 N Highland St, Arlington VA", "api_key": "YOUR_GEOCODIO_KEY"},
).json()
loc = fwd["results"][0]["location"]  # {"lat": 38.886672, "lng": -77.094735}

rev = requests.get(
    "https://api.geocod.io/v1.7/reverse",
    params={"q": "38.886672,-77.094735", "api_key": "YOUR_GEOCODIO_KEY"},
).json()

import requests

HEADERS = {"x-api-key": "pd_live_your_api_key"}

# 1) Forward geocode any global street address, postal code, or business
fwd = requests.get(
    "https://api.placesdataapi.com/v1/places/search",
    headers=HEADERS,
    params={"q": "221B Baker Street, London NW1 6XE, UK", "limit": 1},
).json()["data"][0]
print(fwd["latitude"], fwd["longitude"], fwd["place_id"], fwd["address"])

# 2) Reverse geocode GPS coordinates -> formatted address + ChIJ Place ID
rev = requests.get(
    "https://api.placesdataapi.com/v1/geocode/reverse",
    headers=HEADERS,
    params={"lat": 51.523767, "lng": -0.1585557},
).json()["data"]
print(rev["formatted_address"], rev["place_id"])

# Forward geocoding (address -> lat/lng + Google place_id)
curl -sS "https://api.placesdataapi.com/v1/places/search?q=350+Fifth+Ave+New+York+NY+10118&limit=1" \
  -H "x-api-key: pd_live_your_api_key"

# Reverse geocoding (lat/lng -> structured street address + place_id)
curl -sS "https://api.placesdataapi.com/v1/geocode/reverse?lat=40.7484405&lng=-73.9856644" \
  -H "x-api-key: pd_live_your_api_key"

import requests

HEADERS = {"x-api-key": "pd_live_your_api_key"}

# Forward geocode (5 Credits)
place = requests.get(
    "https://api.placesdataapi.com/v1/places/search",
    headers=HEADERS,
    params={"q": "350 Fifth Ave, New York, NY 10118", "limit": 1},
    timeout=10,
).json()["data"][0]
print(place["latitude"], place["longitude"], place["place_id"])

# Reverse geocode (5 Credits)
addr = requests.get(
    "https://api.placesdataapi.com/v1/geocode/reverse",
    headers=HEADERS,
    params={"lat": place["latitude"], "lng": place["longitude"]},
    timeout=10,
).json()["data"]
print(addr["formatted_address"], addr["address_components"])

const headers = { "x-api-key": "pd_live_your_api_key" };

// Forward geocode address -> coordinates + canonical Place ID
const { data: [place] } = await fetch(
  "https://api.placesdataapi.com/v1/places/search?q=350+Fifth+Ave+New+York+NY+10118&limit=1",
  { headers }
).then((r) => r.json());

// Reverse geocode coordinates -> street address
const { data: reverse } = await fetch(
  `https://api.placesdataapi.com/v1/geocode/reverse?lat=${place.latitude}&lng=${place.longitude}`,
  { headers }
).then((r) => r.json());

console.log(place.place_id, place.latitude, place.longitude, reverse.formatted_address);

{
  "code": 0,
  "provider": "https://placesdataapi.com",
  "status": "ok",
  "data": {
    "formatted_address": "350 5th Ave, New York, NY 10118, USA",
    "place_id": "ChIJaXQRs6lZwokRY6EFpJnhNNE",
    "latitude": 40.7484405,
    "longitude": -73.9856644,
    "types": ["street_address", "premise"],
    "address_components": {
      "street_number": "350",
      "route": "5th Ave",
      "locality": "New York",
      "administrative_area_level_1": "NY",
      "postal_code": "10118",
      "country": "US"
    }
  },
  "meta": {
    "endpoint": "/v1/geocode/reverse",
    "credits_charged": 5,
    "took_ms": 28
  }
}

Frequently asked questions

Is the service spelled geocode.io or geocod.io, and how does PlacesData API compare?

Developers frequently search for "geocode.io", which typically refers to Geocodio (hosted at geocod.io). While Geocodio (geocod.io) provides US and Canadian street geocoding at $0.50/1,000 lookups, it cannot geocode addresses outside the US and Canada and does not return Google Maps Place IDs (ChIJ...), commercial business profiles, phone numbers, or reviews. PlacesData API supports all 195 countries at $0.20–$0.50 per 1,000 lookups with full Google Place ID and B2B lead enrichment.

Which PlacesData API endpoints replace Geocodio forward, batch, and reverse geocoding?

Use GET /v1/places/search?q=<address>&limit=1 (5 Credits / record) for forward address-to-coordinate and Place ID resolution, GET /v1/places/autocomplete?input=<partial_address> (5 Credits / call) for real-time checkout or search-bar typeahead, and GET /v1/geocode/reverse?lat=<lat>&lng=<lng> (5 Credits / call) for reverse GPS coordinate-to-address conversion. For high-throughput batch pipelines, fire concurrent requests up to 3,000 RPM on Business (60 RPM / 5 RPS on the Free Sandbox). See the complete developer guide at /docs/geocoding.

Can I store geocoded latitude, longitude, and Place IDs permanently in my database?

Yes. Unlike the official $5.00/1K Google Geocoding API—which restricts caching latitude/longitude coordinates beyond 30 days—PlacesData API returns clean JSON that you can store permanently in PostgreSQL, PostGIS, Snowflake, or your CRM, with zero attribution lock-in and 0 Credits charged on empty or failed lookups.

How do I test forward and reverse geocoding for free before migrating?

Sign up at /signup in 5 seconds with no credit card required to receive $1.20 (12,000 Free Credits = 2,400 geocoding lookups immediately), plus up to +$2.00 (+20,000 Credits = +4,000 lookups) via the Developer Sandbox Streak.