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 eligibility and Welcome Rewards cash-back data. No login or proxy required.
Open in Apify Store$0.99 / 1K on Free
Short answer
Bed Bath & Beyond Price & Rewards Scraper is an Apify Store Actor that returns 15 published output fields, including title, brand, price, originalPrice. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 17 input settings; one is required (mode). Last updated Nov 13, 2026.
From the public Store listing and published build schema, synced 2026-11-13.What it returns
15 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
titlebrandpriceoriginalPriceonSaleratingreviewCountcategoryproductUrlproductNametextauthorcreatedDateverifiedBuyerimages
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | search | What to collect: keyword search results, a department, product details, or customer reviews. |
| keywords | string | No | – | Free-text search query, e.g. `towel`, `comforter set`, `kitchen island`. |
| category | string | No | Bedding | Browse one of the site's home-goods departments. The department name is used through the catalog's own search relevance; direct category-browse pages are bot-protected (see README). |
| productUrls | array | No | [] | One or more bedbathandbeyond.com product-page URLs or numeric product IDs, e.g. `https://www.bedbathandbeyond.com/.../5296998/product.html` or `5296998`. |
| sortBy | string | No | relevance | How products are ordered. Applied client-side to the fetched result window because the site's sort control is not honoured by a plain HTTP request (see README). |
| minPrice | integer | No | – | Drop products priced below this amount. Sent to the catalog as a server-side price filter. |
| maxPrice | integer | No | – | Drop products priced above this amount. Sent to the catalog as a server-side price filter. |
| minRating | integer | No | – | For products: drop products rated below this. For reviews: drop reviews below this star rating. |
| maxRating | integer | No | – | For products: drop products rated above this. For reviews: drop reviews above this star rating. |
| onSaleOnly | boolean | No | false | Only emit products currently marked on sale. |
Show the other 7 settings
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| fastShippingOnly | boolean | No | false | Only emit products eligible for two-day delivery. |
| brandContains | string | No | – | Keep only products whose detected brand or title contains this text (case-insensitive), e.g. `Superior`, `SAFAVIEH`, `KitchenAid`. |
| maxItems | integer | No | 30 | Hard cap on emitted product records (search, department and product modes). |
| reviewSort | string | No | newest | How customer reviews are ordered. |
| maxReviews | integer | No | 50 | Hard cap on emitted review records across all product URLs/IDs in the run. |
| verifiedOnly | boolean | No | false | Only emit reviews marked as verified purchases. |
| withImagesOnly | boolean | No | false | Only emit reviews that include at least one customer photo. |
Example input
Built from the input form's published example values and defaults.
{
"mode": "search",
"keywords": "bedding",
"category": "Bedding",
"productUrls": [],
"sortBy": "relevance",
"onSaleOnly": false,
"fastShippingOnly": false,
"maxItems": 3,
"reviewSort": "newest",
"maxReviews": 50,
"verifiedOnly": false,
"withImagesOnly": false
} 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",
"keywords": "bedding",
"category": "Bedding",
"productUrls": [],
"sortBy": "relevance",
"onSaleOnly": False,
"fastShippingOnly": False,
"maxItems": 3,
"reviewSort": "newest",
"maxReviews": 50,
"verifiedOnly": False,
"withImagesOnly": False
}
run = client.actor("dataspryva/bed-bath-and-beyond-price-and-rewards-scraper").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",
"keywords": "bedding",
"category": "Bedding",
"productUrls": [],
"sortBy": "relevance",
"onSaleOnly": false,
"fastShippingOnly": false,
"maxItems": 3,
"reviewSort": "newest",
"maxReviews": 50,
"verifiedOnly": false,
"withImagesOnly": false
};
const run = await client.actor("dataspryva/bed-bath-and-beyond-price-and-rewards-scraper").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/dataspryva~bed-bath-and-beyond-price-and-rewards-scraper/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"search","keywords":"bedding","category":"Bedding","productUrls":[],"sortBy":"relevance","onSaleOnly":false,"fastShippingOnly":false,"maxItems":3,"reviewSort":"newest","maxReviews":50,"verifiedOnly":false,"withImagesOnly":false}' 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=dataspryva/bed-bath-and-beyond-price-and-rewards-scraper",
"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 plan | Per 1,000 | 10,000 results | 100,000 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
- catalog price research
- product review analysis
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Questions people ask
How much does Bed Bath & Beyond Price & Rewards Scraper 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 Bed Bath & Beyond Price & Rewards Scraper return?
Its published output schema lists 15 fields: title, brand, price, originalPrice, onSale, rating, reviewCount, category, productUrl, productName, text, author, and 3 more. A listed field is not guaranteed to be filled in every row.
What input does Bed Bath & Beyond Price & Rewards Scraper need?
Required: mode. Optional settings include keywords, category, productUrls, sortBy, minPrice, maxPrice.
How do I run Bed Bath & Beyond Price & Rewards Scraper from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/bed-bath-and-beyond-price-and-rewards-scraper").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/bed-bath-and-beyond-price-and-rewards-scraper").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~bed-bath-and-beyond-price-and-rewards-scraper/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- Bed Bath & Beyond Price & Rewards Scraper on Apify Store
- Published build with input and output schema (JSON)
Cite this page
Scraper Finder. "Bed Bath & Beyond Price & Rewards Scraper." https://scraperfinder.com/catalogue/bed-bath-and-beyond-price-and-rewards-scraper/ (data checked 2026-11-13).
Run Bed Bath & Beyond Price & Rewards Scraper
$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.