![Wayfair Scraper [$1.5💰] | Prices | Products | Rating Data avatar](https://images.apifyusercontent.com/RsaHc1MLpFB7Dfld4AYcxlCQn79qcGRKedIz5w3FEjg/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZHRSN3FuVGJRck5pU0NtajctYWN0b3ItME9aYVc2aGM4YWhuUG04VkwtYldsdk1HendCOC13YXlmYWlyLnBuZw.webp){kind=avatar}
Wayfair Scraper [$1.5💰] | Prices | Products | Rating Data
Pricing
from $1.39 / 1,000 results
[$1.5💰] Scrape Wayfair furniture prices, SKUs, brands, ratings and reviews for price monitoring, competitor analysis and market research. Track price changes on a schedule and download clean JSON, CSV or Excel.
You can access the Wayfair Scraper [$1.5💰] | Prices | Products | Rating Data 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.
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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 "searchTerms": ["bar stools"],10 "categoryUrls": ["https://www.wayfair.com/furniture/cat/bar-stools-c46134.html"],11 "productUrls": [],12 "proxy": { "useApifyProxy": False },13}14
15# Run the Actor and wait for it to finish16run = client.actor("ahmed_jasarevic/wayfair-scraper").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 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 Wayfair Scraper [$1.5💰] | Prices | Products | Rating Data API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: