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Rating 4.7
Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.
Using a Waitrose scraper with Real Data API allows businesses to extract accurate product information directly from Waitrose’s online store. The Waitrose & Partners Grocery Scraping API delivers structured datasets containing product names, categories, pricing, availability, nutritional details, and promotions. With Waitrose API scraping, retailers, researchers, and analysts can automate data collection for competitor monitoring, price tracking, and trend analysis. This enables smarter decisions in inventory management, dynamic pricing, and customer engagement strategies. The Waitrose scraper can be integrated into BI tools, pricing platforms, or eCommerce systems to ensure real-time insights. By leveraging the Waitrose & Partners Grocery Scraping API, companies gain a reliable solution for scalable data extraction, empowering them to stay competitive and responsive to market changes efficiently.
A Waitrose grocery scraper is a powerful tool designed to automatically collect structured information from Waitrose’s online platform. It allows businesses and researchers to scrape Waitrose product data such as names, categories, prices, stock availability, promotions, and nutritional values. Instead of manually copying product details, the scraper automates the process, saving time and ensuring accuracy. The tool works by sending queries to the Waitrose website and extracting the displayed product listings into structured datasets like JSON or CSV. These datasets can then be used for analysis, competitor monitoring, or integration into BI dashboards. By using a Waitrose grocery scraper, companies gain access to real-time product information. The ability to scrape Waitrose product data helps retailers and analysts make faster, data-driven decisions.
Extracting data from Waitrose is essential for businesses that want accurate grocery insights and competitive intelligence. With a Waitrose delivery data scraper, companies can access live product listings, availability, and pricing for analysis and decision-making. Similarly, Waitrose price scraping allows eCommerce platforms and researchers to track price fluctuations, promotional campaigns, and market trends in real time. By extracting structured datasets, retailers can compare product offerings, monitor competitor strategies, and adjust their inventory or pricing accordingly. A Waitrose delivery data scraper also supports demand forecasting and supply chain optimization, ensuring efficiency in operations. Using Waitrose price scraping, businesses can detect pricing gaps, optimize promotions, and build smarter marketing campaigns. Data extraction provides a competitive edge, empowering companies to improve performance across their digital grocery strategy.
The legality of using a Waitrose grocery delivery data extractor depends on how the data scraping process is conducted. Publicly available information such as product names, categories, and pricing can often be collected using responsible scraping practices. However, businesses should ensure compliance with Waitrose’s terms of service and relevant data protection regulations. A Waitrose grocery product data extraction tool should be configured to avoid overloading Waitrose’s servers, as aggressive scraping could be seen as harmful. Many companies rely on third-party APIs or managed data extraction services to remain compliant while still gaining access to grocery insights. By using a Waitrose grocery delivery data extractor responsibly, organizations can gather valuable datasets. Ethical Waitrose grocery product data extraction helps companies unlock insights while staying within legal boundaries.
There are several methods to extract data effectively from Waitrose. Businesses can use a Real-time Waitrose delivery data API for continuous updates on products, availability, and pricing. Alternatively, a scraper can extract Waitrose product listings in bulk, providing structured datasets for research, analytics, or system integration. Tools range from custom-built scripts to ready-to-use scraping APIs designed specifically for grocery eCommerce. The Real-time Waitrose delivery data API is especially powerful for enterprises needing instant updates for price comparison, competitor monitoring, or inventory management. Meanwhile, a tool to extract Waitrose product listings ensures quick access to categories, nutritional values, and promotional data. Both methods save time, reduce errors, and deliver actionable insights. Companies can choose between managed scraping solutions or building their own infrastructure.
If you are exploring beyond traditional scraping, multiple Waitrose catalog scraper UK alternatives exist for advanced data access. For example, managed APIs and third-party services provide structured grocery datasets without requiring custom infrastructure. A Waitrose grocery scraper can be complemented with machine learning models for trend analysis, or integrated into BI tools for real-time decision-making. Many enterprises use Waitrose catalog scraper UK solutions to build historical pricing datasets, track promotions, and enhance competitor intelligence. Others opt for cloud-based data pipelines that combine multiple sources with Waitrose grocery scraper output for broader retail insights. By diversifying scraping methods, businesses can achieve scalability, flexibility, and more robust datasets. Exploring alternatives ensures continuous access to accurate data, while also mitigating risks tied to single-source scraping strategies.
When setting up a data scraping project, input options define how information is fed into the system before extraction begins. These options allow users to customize the scraping process by entering keywords, product categories, or URLs directly. For example, when using a grocery scraper, input options might include brand names, product SKUs, or specific search terms to narrow results. Advanced configurations also support uploading CSV or JSON files containing lists of items to track. By setting input options properly, users can target precise datasets, avoid irrelevant information, and streamline the scraping process. Flexible input fields are especially useful for large-scale projects, ensuring accuracy and efficiency. Whether monitoring prices, availability, or promotions, well-defined input options help businesses extract the right data consistently.
{
"source": "waitrose.com",
"scrape_job_id": "job_20250909_002",
"scraped_at": "2025-09-09T20:15:00+01:00",
"query": "search: bread, milk, eggs, cheese",
"products": [
{
"id": "waitrose-100001",
"sku": "100001",
"name": "Essential Waitrose British Semi-Skimmed Milk 2L",
"brand": "Essential Waitrose",
"category": ["Dairy", "Milk"],
"description": "Fresh British semi-skimmed milk, pasteurised and homogenised.",
"pack_size": "2 L",
"weight_grams": 2000,
"price": {
"currency": "GBP",
"now": 1.80,
"was": 2.00,
"unit_price": 0.90,
"unit_measure": "GBP/L"
},
"availability": "in_stock",
"image_url": "https://www.waitrose.com/images/products/100001.jpg",
"product_url": "https://www.waitrose.com/products/essential-semi-skimmed-milk-100001",
"ratings": {
"average": 4.5,
"count": 85
},
"promotions": [
{
"type": "price_drop",
"description": "Save 20p until 2025-09-16",
"valid_until": "2025-09-16"
}
],
"nutrition_per_100g": {
"energy_kcal": 47,
"fat_g": 1.7,
"saturates_g": 1.1,
"carbohydrate_g": 4.8,
"sugars_g": 4.8,
"protein_g": 3.4,
"salt_g": 0.1
},
"allergens": ["Milk"],
"barcode": "5000112200001"
},
{
"id": "waitrose-100002",
"sku": "100002",
"name": "Waitrose Free Range Large Eggs (12)",
"brand": "Waitrose",
"category": ["Dairy & Eggs", "Eggs"],
"description": "Free range large eggs, grade A, pack of 12.",
"pack_size": "12 eggs",
"weight_grams": 720,
"price": {
"currency": "GBP",
"now": 2.40,
"was": 2.60,
"unit_price": 0.20,
"unit_measure": "GBP/egg"
},
"availability": "in_stock",
"image_url": "https://www.waitrose.com/images/products/100002.jpg",
"product_url": "https://www.waitrose.com/products/free-range-eggs-100002",
"ratings": {
"average": 4.6,
"count": 110
},
"promotions": [
{
"type": "multibuy",
"description": "2 for £4.00",
"valid_until": "2025-09-20"
}
],
"nutrition_per_100g": {
"energy_kcal": 143,
"fat_g": 9.5,
"saturates_g": 3.2,
"carbohydrate_g": 0.7,
"sugars_g": 0.7,
"protein_g": 12.6,
"salt_g": 0.37
},
"allergens": ["Eggs"],
"barcode": "5000112200002"
},
{
"id": "waitrose-100003",
"sku": "100003",
"name": "Waitrose British Mature Cheddar 350g",
"brand": "Waitrose",
"category": ["Dairy", "Cheese"],
"description": "Rich and full-flavoured mature British cheddar.",
"pack_size": "350 g",
"weight_grams": 350,
"price": {
"currency": "GBP",
"now": 3.20,
"was": null,
"unit_price": 9.14,
"unit_measure": "GBP/kg"
},
"availability": "limited_stock",
"image_url": "https://www.waitrose.com/images/products/100003.jpg",
"product_url": "https://www.waitrose.com/products/mature-cheddar-100003",
"ratings": {
"average": 4.7,
"count": 62
},
"promotions": [],
"nutrition_per_100g": {
"energy_kcal": 416,
"fat_g": 34.0,
"saturates_g": 21.7,
"carbohydrate_g": 0.1,
"sugars_g": 0.1,
"protein_g": 25.4,
"salt_g": 1.8
},
"allergens": ["Milk"],
"barcode": "5000112200003"
},
{
"id": "waitrose-100004",
"sku": "100004",
"name": "Hovis Soft White Medium Bread 800g",
"brand": "Hovis",
"category": ["Bakery", "Bread"],
"description": "Soft medium sliced white bread loaf.",
"pack_size": "800 g",
"weight_grams": 800,
"price": {
"currency": "GBP",
"now": 1.25,
"was": 1.40,
"unit_price": 1.56,
"unit_measure": "GBP/kg"
},
"availability": "in_stock",
"image_url": "https://www.waitrose.com/images/products/100004.jpg",
"product_url": "https://www.waitrose.com/products/hovis-soft-white-100004",
"ratings": {
"average": 4.3,
"count": 47
},
"promotions": [
{
"type": "clubcard",
"description": "20p off with code SAVE20",
"valid_until": "2025-09-25"
}
],
"nutrition_per_100g": {
"energy_kcal": 250,
"fat_g": 3.2,
"saturates_g": 0.6,
"carbohydrate_g": 47.0,
"sugars_g": 4.5,
"protein_g": 9.0,
"salt_g": 1.0
},
"allergens": ["Wheat"],
"barcode": "5000112200004"
}
],
"summary": {
"total_products": 4,
"total_duration_ms": 420,
"errors": []
}
}
Integrating a Waitrose scraper with business systems unlocks powerful opportunities for data-driven insights. Through seamless Waitrose data extraction, companies can access structured product details such as names, categories, prices, availability, nutritional information, and promotions. The Waitrose & Partners Grocery Scraping API provides real-time, automated access to this data, eliminating manual work while ensuring accuracy and speed. Businesses can use these integrations to monitor competitor pricing, track grocery trends, and enhance inventory planning. A Waitrose scraper also supports eCommerce platforms, market researchers, and pricing analysts by feeding clean datasets directly into BI tools or dashboards. With the Waitrose & Partners Grocery Scraping API, enterprises can scale data operations, improve decision-making, and optimize retail strategies through continuous, reliable grocery product intelligence.
Running a Waitrose Data Scraping Actor with a real-time API provides direct access to structured product information for analysis and integration. By automating Waitrose API scraping, businesses can collect data on product names, categories, pricing, stock levels, promotions, and nutrition details with high accuracy. The extracted information can be compiled into a Grocery Dataset, which supports use cases like competitor monitoring, demand forecasting, and trend analysis. With real-time updates, organizations can integrate these datasets into BI dashboards, pricing engines, or inventory systems for smarter decision-making. Executing a Waitrose Data Scraping Actor ensures continuous and reliable Waitrose API scraping, helping enterprises optimize retail strategies and improve customer insights. Leveraging a Grocery Dataset from Waitrose empowers companies to stay competitive in the digital grocery space.
You should have a Real Data API account to execute the program examples.
Replace
in the program using the token of your actor. Read
about the live APIs with Real Data API docs for more explanation.
import { RealdataAPIClient } from 'RealDataAPI-client';
// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
token: '' ,
});
// Prepare actor input
const input = {
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
};
(async () => {
// Run the actor and wait for it to finish
const run = await client.actor("junglee/amazon-crawler").call(input);
// Fetch and print actor results from the run's dataset (if any)
console.log('Results from dataset');
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
})();
from realdataapi_client import RealdataAPIClient
# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("" )
# Prepare the actor input
run_input = {
"categoryOrProductUrls": [{ "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5" }],
"maxItems": 100,
"proxyConfiguration": { "useRealDataAPIProxy": True },
}
# Run the actor and wait for it to finish
run = client.actor("junglee/amazon-crawler").call(run_input=run_input)
# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# Set API token
API_TOKEN=<YOUR_API_TOKEN>
# Prepare actor input
cat > input.json <<'EOF'
{
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
}
EOF
# Run the actor
curl "https://api.realdataapi.com/v2/acts/junglee~amazon-crawler/runs?token=$API_TOKEN" \
-X POST \
-d @input.json \
-H 'Content-Type: application/json'
productUrls
Required Array
Put one or more URLs of products from Amazon you wish to extract.
Max reviews
Optional Integer
Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.
linkSelector
Optional String
A CSS selector saying which links on the page (< a> elements with href attribute) shall be followed and added to the request queue. To filter the links added to the queue, use the Pseudo-URLs and/or Glob patterns setting. If Link selector is empty, the page links are ignored. For details, see Link selector in README.
includeGdprSensitive
Optional Array
Personal information like name, ID, or profile pic that GDPR of European countries and other worldwide regulations protect. You must not extract personal information without legal reason.
sort
Optional String
Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.
RECENT
,HELPFUL
proxyConfiguration
Required Object
You can fix proxy groups from certain countries. Amazon displays products to deliver to your location based on your proxy. No need to worry if you find globally shipped products sufficient.
extendedOutputFunction
Optional String
Enter the function that receives the JQuery handle as the argument and reflects the customized scraped data. You'll get this merged data as a default result.
{
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"detailedInformation": false,
"useCaptchaSolver": false,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
}