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Weezy Scraper - Extract Weezy Product Listings

RealdataAPI / weezy-scraper

Unlock seamless grocery insights with Weezy Scraper, designed to Extract Weezy Product Listings efficiently and accurately. By leveraging Weezy API scraping, businesses can access real-time product details, prices, availability, and promotions across the Weezy platform. This enables retailers, FMCG brands, and analysts to monitor trends, optimize inventory, and respond faster to market changes. Integrated with our Grocery Data Scraping API, Weezy Scraper ensures structured, reliable data delivery that supports analytics, forecasting, and competitive benchmarking. From weekly deals to seasonal promotions, every product listing is captured in a ready-to-use format, helping teams make data-driven decisions with minimal effort. Whether tracking price fluctuations, monitoring top-selling products, or analyzing customer preferences, Weezy Scraper combined with Weezy API scraping provides a comprehensive solution for grocery intelligence. Stay ahead in the competitive grocery market with real-time, actionable insights powered by our Real Data API.

What is Weezy Data Scraper, and How Does It Work?

A Weezy grocery scraper is a tool designed to Scrape Weezy product data efficiently from the Weezy platform, providing structured insights for businesses. Using automated scripts and APIs, the Weezy delivery data scraper extracts product listings, prices, and availability in real time, transforming them into actionable datasets. By leveraging Weezy price scraping, companies can monitor weekly promotions, festive discounts, and SKU-level product trends. The scraper works by accessing Weezy’s catalog, capturing product attributes, and updating datasets continuously. For grocery brands and retailers, the Weezy grocery delivery data extractor ensures accurate, timely insights for inventory management, pricing strategy, and competitive benchmarking. With tools like Real-time Weezy delivery data API and Weezy grocery product data extraction, businesses can streamline analysis, make data-driven decisions, and stay ahead in the dynamic UK grocery delivery market.

Why Extract Data from Weezy?

Extracting data from Weezy allows brands to stay competitive by tracking offers, prices, and product availability. A Weezy grocery scraper enables companies to Extract Weezy product listings with high accuracy and minimal effort. Using Weezy price scraping and Weezy grocery delivery data extractor, businesses can monitor weekly promotions, seasonal deals, and trending products to align marketing campaigns. Real-time insights from a Weezy delivery data scraper help forecast demand, optimize inventory, and benchmark competitors effectively. Additionally, Weezy grocery product data extraction ensures structured datasets for analytics, reporting, and strategy planning. Tools like Weezy catalog scraper UK and Real-time Weezy delivery data API provide actionable intelligence for retail brands, helping them respond quickly to market changes, improve operational efficiency, and maximize sales during festive and high-demand periods.

Is It Legal to Extract Weezy Data?

Using a Weezy grocery scraper or a Weezy delivery data scraper must comply with legal and platform guidelines. Companies can Scrape Weezy product data for internal analytics without violating terms if done ethically and without impacting platform performance. Weezy grocery delivery data extractor tools allow businesses to Extract Weezy product listings in ways that respect privacy and intellectual property rights. Real-time solutions like Real-time Weezy delivery data API ensure data access is controlled, secure, and compliant with local laws. Leveraging Weezy catalog scraper UK and Weezy grocery product data extraction helps businesses gather actionable insights while maintaining legal and ethical standards. Organizations must always review Weezy’s terms of service and implement throttling, anonymization, and responsible scraping practices to avoid misuse.

How Can I Extract Data from Weezy?

To extract data efficiently, businesses can use a Weezy grocery scraper or Weezy delivery data scraper that automates collection of product listings, prices, and availability. Tools for Weezy grocery product data extraction and Scrape Weezy product data allow real-time monitoring of SKUs, seasonal deals, and trending categories. With Weezy price scraping and a Real-time Weezy delivery data API, companies can integrate datasets into internal analytics platforms for forecasting, benchmarking, and campaign planning. Using a Weezy grocery delivery data extractor or Weezy catalog scraper UK ensures structured, ready-to-use data for strategic decisions. Businesses can schedule automated scrapes, track weekly promotions, and analyze SKU performance across regions. This approach saves time, reduces manual errors, and provides actionable intelligence to optimize inventory, pricing, and marketing campaigns efficiently.

Do You Want More Weezy Scraping Alternatives?

If you need additional options, consider platforms and tools beyond a Weezy grocery scraper or Weezy delivery data scraper. Alternatives like Scrape Weezy product data and Weezy price scraping tools can offer more granular insights, including real-time monitoring and historical trend analysis. Using Weezy grocery delivery data extractor or Weezy grocery product data extraction, businesses can expand coverage to multiple SKUs, categories, and promotions. Real-time Weezy delivery data API ensures immediate updates, while Extract Weezy product listings provides structured datasets ready for analytics. Solutions like Weezy catalog scraper UK enable comparative benchmarking, seasonal analysis, and competitor tracking. By combining multiple scraping tools and APIs, organizations gain deeper visibility into the UK grocery market, optimize pricing and inventory, and stay ahead of competitors while making faster, data-driven decisions.

Input options

When managing data scraping projects, choosing the right input options is crucial for efficiency and accuracy. For platforms like Weezy, Weezy grocery scraper and Weezy delivery data scraper allow flexible inputs to extract product listings, prices, and promotions. Businesses can provide specific SKUs, category URLs, or weekly catalog links to Scrape Weezy product data efficiently. Using Weezy price scraping and Weezy grocery delivery data extractor, input options can include date ranges, geographic locations, or promotional types for targeted insights. Real-time Weezy delivery data API supports continuous monitoring, while Weezy grocery product data extraction enables batch uploads for large-scale extraction. Advanced tools like Weezy catalog scraper UK also accept filters for brand, discount level, or stock status, ensuring precise data capture. By customizing input options, businesses streamline Extract Weezy product listings, reduce errors, and gain actionable intelligence for pricing, inventory, and marketing strategies.

Sample Result of Weezy Data Scraper

{
  "products": [
    {
      "product_id": "WZ001",
      "name": "Organic Whole Milk 1L",
      "category": "Dairy",
      "price": 1.99,
      "discount": 0.2,
      "availability": "In Stock",
      "promotion": "10% off",
      "last_updated": "2025-09-12T08:00:00Z"
    },
    {
      "product_id": "WZ002",
      "name": "Free-Range Eggs 12 Pack",
      "category": "Eggs & Dairy",
      "price": 3.49,
      "discount": 0,
      "availability": "Out of Stock",
      "promotion": null,
      "last_updated": "2025-09-12T08:00:00Z"
    },
    {
      "product_id": "WZ003",
      "name": "Whole Wheat Bread 500g",
      "category": "Bakery",
      "price": 2.49,
      "discount": 0.15,
      "availability": "In Stock",
      "promotion": "6-Pack Deal",
      "last_updated": "2025-09-12T08:00:00Z"
    },
    {
      "product_id": "WZ004",
      "name": "Fresh Strawberries 250g",
      "category": "Fruits",
      "price": 2.99,
      "discount": 0,
      "availability": "In Stock",
      "promotion": null,
      "last_updated": "2025-09-12T08:00:00Z"
    }
  ],
  "metadata": {
    "source": "Weezy UK",
    "scrape_date": "2025-09-12",
    "total_products": 4,
    "currency": "GBP"
  }
}
Integrations with Weezy Data Scraper – Weezy Data Extraction

Integrations with Weezy Data Scraper open new possibilities for businesses seeking competitive insights, personalized marketing, and real-time pricing intelligence. By connecting with a Grocery Data Scraping API, retailers, FMCG brands, and analytics firms can pull structured datasets on products, categories, availability, and promotional changes from Weezy in real time. A Weezy scraper can be integrated into existing BI dashboards, CRM tools, and inventory management systems to deliver up-to-date insights for decision-making. For instance, brands can align stock levels with customer demand, while marketers can optimize campaigns based on weekly discount cycles. Developers can also embed the Weezy scraper into pricing engines, ensuring dynamic repricing strategies across regions. With secure and scalable integration capabilities, businesses can automate grocery data pipelines, reduce manual efforts, and enhance efficiency. This makes integrating with the Grocery Data Scraping API a vital step for data-driven growth.

Executing Weezy Data Scraping Actor with Real Data API

Executing Weezy Data Scraping Actor with Real Data API ensures businesses gain accurate, structured insights for decision-making. By leveraging Weezy API scraping, companies can capture dynamic product catalogs, price changes, availability updates, and promotional offers in real time. This integration allows teams to build a complete Grocery Dataset covering categories, SKUs, and delivery timelines across regions. With the automation of data pipelines, businesses no longer rely on manual tracking but instead access up-to-date insights directly within their BI or analytics platforms. The Weezy API scraping process empowers FMCG brands, delivery services, and market researchers to evaluate product demand shifts, optimize pricing strategies, and monitor seasonal promotions efficiently. By generating a reliable Grocery Dataset, businesses can benchmark performance against competitors, forecast demand trends, and make informed strategic choices. This seamless execution bridges real-time data acquisition with smarter, faster operational growth.

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'

Place the Amazon product URLs

productUrls Required Array

Put one or more URLs of products from Amazon you wish to extract.

Max reviews

Max reviews Optional Integer

Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.

Link selector

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.

Mention personal data

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.

Reviews sort

sort Optional String

Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.

Options:

RECENT,HELPFUL

Proxy configuration

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.

Extended output function

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
  }
}
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