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Wayfair Scraper

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$16.00/month

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Wayfair Scraper

Wayfair Scraper

mscraper/wayfair-scraper
Try Actor

$16.00/month

The Wayfair Scraper is a powerful tool built to scrape detailed product data from Wayfair. It can retrieve important product data such as product name, sku, manufacturer, rating, reviews, price, and more.

You can access the Wayfair Scraper programmatically from your own Python 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 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    "startUrls": [
10        { "url": "https://www.wayfair.com/furniture/sb0/kitchen-dining-tables-c46129.html" },
11        { "url": "https://www.wayfair.com/bed-bath/pdp/ebern-designs-wynton-microfiber-reversible-3-piece-comforter-set-w002610239.html" },
12    ],
13    "proxy": {
14        "useApifyProxy": True,
15        "apifyProxyCountry": "US",
16    },
17    "resultsLimit": 50,
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("mscraper/wayfair-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Wayfair Scraper API in Python

The Apify API client for Python is the official library that allows you to use Wayfair Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 8 monthly users
  • 2 stars
  • 100.0% runs succeeded
  • Created in Jun 2023
  • Modified 2 months ago
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