Pricing
Pay per usage
Scrape Maps.com and extract data on geographic reference from maps.com. Our Maps.com API lets you crawl product information and pricing. The saved data can be downloaded as HTML, JSON, CSV, Excel, and XML.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Mark Carter
Actor stats
1
Bookmarked
76
Total users
6
Monthly active users
3 years ago
Last modified
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You can access the Maps.com Scraper 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 Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "maxRequestsPerCrawl": 20,10 "extendOutputFunction": """async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {11 return item;12}""",13 "extendScraperFunction": """async ({ fns, customData, Apify, label }) => {14 15}""",16 "customData": {},17 "maxConcurrency": 20,18 "maxRequestRetries": 3,19}20
21# Run the Actor and wait for it to finish22run = client.actor("mshopik/mapscom-scraper").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])26for item in client.dataset(run["defaultDatasetId"]).iterate_items():27 print(item)28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Maps.com Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: