COMPANYSEO TOOLSDEVELOPER TOOLS API MCP READY

Google Local Services API

Search Google Local Services Ads: Google Guaranteed and Google Screened home-service pros with ratings, reviews, and phone numbers as clean JSON. Built for local SEO agencies, home-services lead gen, and competitor tracking. Pay per business returned. MCP-ready for Claude and AI agents.

MEDIAN LAGon demand
PARAMETERS7
TOTAL USERS38
MONTHLY ACTIVE23
TOTAL RUNS1,061
SUCCESS (30D)99.5%
RATINGno ratings yet
LAST MODIFIED2026-09-03
PUBLISHED2026-07

Input parameters

PARAMETERTYPEREQDEFAULTDESCRIPTION
query string no — REQUIRED (or use `queries`).
queries string[] no — Provide a list of services to search in one run, e.g. ['plumber', 'electrician', 'roofer'].
location string no — The US city or district to search in, e.g. 'Austin, TX' or 'Brooklyn, NY'. Resolved internally to the Google place ID (one billed resolution for each unique location).
dataCid string no — Advanced: the decimal Google CID of a city or district level place, e.g. '6745062158417646970' for Austin, TX.
jobType string no — Optional subcategory of the service, e.g. 'restore_power' for electricians or 'unclog_drain' for plumbers.
language string no en Two-letter language code for the results, e.g. 'en' or 'es'. Defaults to 'en'.
maxResultsPerQuery integer no — Optional cap on how many businesses to return for each query (a listing typically returns up to about 20). — drives your bill

Worked examples

Basic — the required input, with the schema's own example values
{
  "query": "plumber",
  "queries": [
    "example"
  ]
}

Code

curl

curl -X POST "https://api.apify.com/v2/acts/johnvc~google-local-services-api/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query": "plumber", "queries": ["example"]}'

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/google-local-services-api").call(
    run_input={'query': 'plumber', 'queries': ['example']}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)