Use Google Maps Business Lead Finder with Email & Social Links with Python

Search Google Maps by business type and location and get back listing details enriched with email addresses and social profiles pulled from each business's own website.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "categoryFilter": [],
  "extractEmailsFromWebsite": true,
  "language": "en",
  "locationQuery": "",
  "maxContactPagesPerWebsite": 2,
  "maxEmailsPerWebsite": 5,
  "maxPlacesPerSearch": 3,
  "mode": "searchPlaces",
  "onlySaveResults": "allPlaces",
  "placeIds": [],
  "placeMinimumStars": "",
  "placeUrls": [],
  "searchQueries": [
    "coffee shops in Austin TX"
  ],
  "skipClosedPlaces": false,
  "websiteFilter": "allPlaces",
  "websites": []
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	optional	Choose how to find businesses. Search Google Maps by phrase, enrich a list of websites you already have, or look up specific Google Maps places.
`searchQueries`	array	optional	Natural-language searches such as 'coffee shops in Austin TX' or 'plumbers near Chicago'. Include the place in the phrase, or use the location field below. Each phrase is searched separately.
`locationQuery`	string	optional	Adds a shared location to every search phrase, for example 'Austin, TX, USA'. Leave empty when your phrases already contain the place.
`websites`	array	optional	Websites to extract contacts from, one per line. Bare domains such as 'example.com' are accepted.
`placeUrls`	array	optional	Google Maps place links, copied from the address bar or from a previous export.
`placeIds`	array	optional	Canonical Google Place IDs starting with 'ChIJ'.
`maxPlacesPerSearch`	integer	optional	Maximum businesses to keep for each search phrase. Google returns a ranked window of roughly 160-220 places per phrase; asking for more simply returns what the source has.
`language`	string	optional	Language of the Google Maps interface and listing text.
`extractEmailsFromWebsite`	boolean	optional	Visit each business website to collect contact details. Disable for a faster run with Google Maps data only.
`maxEmailsPerWebsite`	integer	optional	Maximum email addresses to keep for one business website.
`maxContactPagesPerWebsite`	integer	optional	How many pages to read on each website: the homepage plus contact, about, legal, privacy or careers pages. More pages find more contacts but take longer.
`onlySaveResults`	string	optional	Save every business, only businesses where an email was found, or only businesses with any contact detail (email, website phone or social profile).
`placeMinimumStars`	string	optional	Keep only businesses rated at least this high. Places without a rating are left out when a minimum is set.
`categoryFilter`	array	optional	Keep places whose Google Maps category contains all words of at least one entry, for example 'coffee' or 'italian restaur'. Leave empty for no category filter.
`websiteFilter`	string	optional	Keep all places, only places with a website, or only places without one.
`skipClosedPlaces`	boolean	optional	Check each place's public status and leave out businesses marked closed. This adds one small request per place.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/gMWbkCIRuVIl0guxm/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Google Maps business listings enriched with email addresses (including a DNS-checked subset), website phone numbers, social profiles, categories and place identifiers.

Questions before you run

Which inputs are required?

No top-level fields are marked required in the published schema. Conditional requirements can still apply; check the README.

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build vbOJFIlsVgFGizez8 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.