Wayfair Furniture Price, Stock & Review Extractor

Search, browse by category or brand, or look up by URL or SKU across Wayfair's US, Canada, UK and Ireland storefronts, and get back price, discount, stock status, ratings, reviews, variants and images. No API key needed.

Open in Apify Store$0.99 / 1K on Free

Short answer

Wayfair Furniture Price, Stock & Review Extractor is an Apify Store Actor that returns 13 published output fields, including title, sku, brand, price. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 18 input settings; 2 are required (mode, proxyConfiguration). Last updated Nov 13, 2026.

From the public Store listing and published build schema, synced 2026-11-13.
EcommerceAutomationDeveloper tools

What it returns

13 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • title
  • sku
  • brand
  • price
  • previousPrice
  • currency
  • stockStatus
  • isPurchasable
  • ratingValue
  • reviewCount
  • category
  • country
  • productUrl

Input

SettingTypeRequiredDefaultWhat it does
mode string Yes search How to find products on Wayfair. search: keyword search. byUrl: paste any Wayfair search, category, brand, or product URL(s). byCategory: browse a top-level category. byBrand: search by brand name or paste a brand's listing URL(s). byProduct: look up specific products by SKU.
proxyConfiguration object Yes {"useApifyProxy":true,"apifyProxyGroups":["RE… Proxy configuration. Wayfair blocks most non-residential traffic, so a Residential proxy is required for reliable results and is used by default. Leaving this blank will cause most or all requests to fail.
country string No com Wayfair regional domain. com=US, ca=Canada, co.uk=UK, ie=Ireland. (Wayfair.de shut down in 2020 and is not supported.) Any other value falls back to wayfair.com and the run log records a warning saying so, so you can tell a fallback apart from a real US run.
text string No sofa Free-text keyword (used in search mode). Examples: "sofa", "office chair", "throw pillow", "area rug".
category string No furniture Top-level Wayfair category (resolves to a category browse URL). Used for byCategory mode.
urls array No [] Direct Wayfair URLs (search results, category page, or product detail page). Domain auto-detected from URL.
brand string No – Brand or manufacturer name, exactly as it appears on Wayfair (e.g. "Latitude Run", "Wade Logan", "Hokku Designs"). Results are filtered to that brand. Free text rather than a dropdown, since Wayfair carries thousands of brands.
skus array No [] Wayfair product SKUs (e.g. "W118077895", "CXVA1530"). The scraper resolves each SKU to its detail page.
sortBy string No relevance Sort order for search, category, and brand results, as offered by Wayfair itself.
priceMin integer No – Drop products priced below this value (in the destination country's currency). Leave empty to apply no lower bound.
Show the other 8 settings
SettingTypeRequiredDefaultWhat it does
priceMax integer No – Drop products priced above this value (in the destination country's currency). Leave empty to apply no upper bound.
ratingMin number No – Drop products with rating below this value (0.0-5.0). Products with no rating are kept (the user opted into the filter, not into requiring the field).
onSaleOnly boolean No false Only emit products that are actually discounted, i.e. Wayfair shows a struck-through "was" price above the payable one (the record's previousPrice field). Products with no previous price are dropped.
minDiscountPercent integer No – Only emit products discounted by at least this percentage off their previous price (1-99). Leave empty to apply no discount threshold. Implies "On sale only": a product with no previous price has no measurable discount and is dropped.
inStockOnly boolean No false Only emit listings Wayfair explicitly marks as IN_STOCK. Listings with no stock-status evidence are dropped (unlike price/rating filters, this is a confirmed-availability guarantee, not a best-effort filter).
fetchProductDetails boolean No false Visit each product's own page to enrich results with price, rating, brand, full description, breadcrumbs, a high-resolution image, colour/size variants, and up to 25 individual customer reviews. Recommended for complete, reliable data; takes longer to run than a listing-only scrape.
maxItems integer No 25 Hard cap on emitted product records. Note how this interacts with "Max listing pages": a single search/category/brand seed yields about 48 products per page, so one seed can realistically return at most ~1,200 products (48 x the 25-page ceiling). Values above that are only reachable when you supply
maxPagesPerListing integer No 3 Maximum paginated listing pages (?page=N) to crawl per search/category/brand seed (~48 products per page). This bounds how many products one seed can possibly yield: 25 pages x ~48 = ~1,200. Raise it alongside "Max items" when you want a deep single-seed crawl.

Example input

Built from the input form's published example values and defaults.

{
  "mode": "search",
  "country": "com",
  "text": "sofa",
  "category": "furniture",
  "urls": [],
  "skus": [],
  "sortBy": "relevance",
  "priceMin": 0,
  "priceMax": 500,
  "ratingMin": 4,
  "onSaleOnly": false,
  "inStockOnly": false,
  "fetchProductDetails": false,
  "maxItems": 5,
  "maxPagesPerListing": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "country": "com",
    "text": "sofa",
    "category": "furniture",
    "urls": [],
    "skus": [],
    "sortBy": "relevance",
    "priceMin": 0,
    "priceMax": 500,
    "ratingMin": 4,
    "onSaleOnly": False,
    "inStockOnly": False,
    "fetchProductDetails": False,
    "maxItems": 5,
    "maxPagesPerListing": 2,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
}

run = client.actor("xyrelith-data/wayfair-furniture-price-stock-and-review-extractor").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "country": "com",
    "text": "sofa",
    "category": "furniture",
    "urls": [],
    "skus": [],
    "sortBy": "relevance",
    "priceMin": 0,
    "priceMax": 500,
    "ratingMin": 4,
    "onSaleOnly": false,
    "inStockOnly": false,
    "fetchProductDetails": false,
    "maxItems": 5,
    "maxPagesPerListing": 2,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

const run = await client.actor("xyrelith-data/wayfair-furniture-price-stock-and-review-extractor").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/xyrelith-data~wayfair-furniture-price-stock-and-review-extractor/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","country":"com","text":"sofa","category":"furniture","urls":[],"skus":[],"sortBy":"relevance","priceMin":0,"priceMax":500,"ratingMin":4,"onSaleOnly":false,"inStockOnly":false,"fetchProductDetails":false,"maxItems":5,"maxPagesPerListing":2,"proxyConfiguration":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=xyrelith-data/wayfair-furniture-price-stock-and-review-extractor",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

What people use it for

  • search furniture products
  • track prices and stock
  • retrieve ratings and reviews

Best Buy Price Drop & Stock Tracker

Search Best Buy by keyword or product URL to get current and regular price, savings, rating, review count, brand, model and stock status for each…

17 output fields $0.99 per 1K

Amazon Multi-Domain Product Price & Detail Scraper

Pull pricing, ratings, seller, variant and technical detail for Amazon products by URL or ASIN, across 21 country domains, with optional delivery…

9 output fields $0.99 per 1K

Bed Bath & Beyond Price & Rewards Scraper

Search bedbathandbeyond.com by keyword or home-goods department and get price, sale price, brand, rating, review count, images, two-day-shipping…

15 output fields $0.99 per 1K

Bol.com Product Search, Price & Stock Extractor

Searches Bol.com by keyword, category, EAN, or promotions page and returns price, rating, stock status, and seller for each product, with no login…

7 output fields $0.99 per 1K

Home Depot Search Results & Price Tracker

Turn a Home Depot keyword search or search URL into structured product data: price, original price, brand, rating, reviews, and image, with…

$0.99 per 1K

Sam Ash Music Gear Price & Stock Finder

Search or browse Sam Ash Music's instrument and gear catalog by keyword, department, brand, price and condition, or look up exact SKUs, and get…

8 output fields $0.99 per 1K

Questions people ask

How much does Wayfair Furniture Price, Stock & Review Extractor cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Wayfair Furniture Price, Stock & Review Extractor return?

Its published output schema lists 13 fields: title, sku, brand, price, previousPrice, currency, stockStatus, isPurchasable, ratingValue, reviewCount, category, country, and 1 more. A listed field is not guaranteed to be filled in every row.

What input does Wayfair Furniture Price, Stock & Review Extractor need?

Required: mode, proxyConfiguration. Optional settings include country, text, category, urls, brand, skus.

How do I run Wayfair Furniture Price, Stock & Review Extractor from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("xyrelith-data/wayfair-furniture-price-stock-and-review-extractor").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("xyrelith-data/wayfair-furniture-price-stock-and-review-extractor").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/xyrelith-data~wayfair-furniture-price-stock-and-review-extractor/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-11-13 Data synced 2026-11-13
Cite this page

Scraper Finder. "Wayfair Furniture Price, Stock & Review Extractor." https://scraperfinder.com/catalogue/wayfair-furniture-price-stock-and-review-extractor/ (data checked 2026-11-13).

Run Wayfair Furniture Price, Stock & Review Extractor

$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.

Open in Apify Store