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from $2.00 / 1,000 records processeds

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Google Maps Results Processor — clean, filtered outreach leads

Try for free

Turn raw Google Maps Scraper (compass/crawler-google-places) output into clean, flat, filtered, outreach-ready files: CSV, Excel, Instantly, Smartlead, GoHighLevel, HubSpot and dialer formats.

Pricing

from $2.00 / 1,000 records processeds

Rating

0.0

(0)

Developer

Vasram Sonagara

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

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You can access the Google Maps Results Processor — clean, filtered outreach leads programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "source_datasetIds": [],
10    "source_scrapedDataJson": [{
11            "title": "Sample Pizza Place",
12            "categoryName": "Pizza restaurant",
13            "totalScore": 4.2,
14            "reviewsCount": 127,
15            "phone": "+1-512-555-0199",
16            "website": "https://example.com",
17            "address": "456 Congress Ave, Austin, TX 78701",
18            "placeId": "ChIJExample123",
19        }],
20    "fields_presets": [],
21    "filters_minReviews": 0,
22    "filters_categoriesInclude": [],
23    "filters_cities": [],
24    "output_formats": ["csv"],
25    "output_fileName": "google-maps-leads",
26    "delta_baselineDatasetId": "",
27}
28
29# Run the Actor and wait for it to finish
30run = client.actor("vasram/google-maps-results-converter").call(run_input=run_input)
31
32# Fetch and print Actor results from the run's dataset (if there are any)
33print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
34for item in client.dataset(run.default_dataset_id).iterate_items():
35    print(item)
36
37# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Maps Leads Converter to CSV & CRM API in Python

The Apify API client for Python is the official library that allows you to use Google Maps Results Processor — clean, filtered outreach leads API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Google Maps Results Processor — clean, filtered outreach leads API in JavaScript

Google Maps Results Processor — clean, filtered outreach leads API through CLI

Google Maps Results Processor — clean, filtered outreach leads OpenAPI definition

Google Maps Results Processor — clean, filtered outreach leads API

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