Home Depot Scraper
Deprecated
Pricing
$40.00/month + usage
Home Depot Scraper
Deprecated
Scrape data from Home Depot - the largest home improvement retailer in the United States. Scrape products based on search query or category and extract information such as price, description and reviews. Export accumulated data into HTML, JSON, CSV, Excel, or XML formats.
0.0 (0)
Pricing
$40.00/month + usage
3
Total users
35
Monthly users
1
Last modified
2 years ago
You can access the Home Depot 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 "zipcode": "10010",10 "startUrls": [{ "url": "https://www.homedepot.com/p/317623149" }],11 "maxResults": 5,12 "maxConcurrency": 2,13 "reviewsCount": 10,14 "faq": 4,15}16
17# Run the Actor and wait for it to finish18run = client.actor("mcdowell/home-depot").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])22for item in client.dataset(run["defaultDatasetId"]).iterate_items():23 print(item)24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startHome Depot Scraper API in Python
The Apify API client for Python is the official library that allows you to use Home Depot Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
