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Ocado Scraper - Extract Ocado Product Listings

RealdataAPI / ocado-scraper

Harness the power of Ocado scraper solutions with Real Data API to access accurate and structured grocery data. Retailers, analysts, and FMCG brands can leverage our Ocado API scraping technology to monitor prices, extract product listings, and track availability across categories. Whether you need insights into promotions, inventory changes, or SKU-level product data, our tools provide real-time visibility into the fast-growing UK grocery market. With the Ocado Grocery Scraping API, businesses can automate data collection, compare product trends, and optimize pricing strategies. Real Data API ensures clean, reliable datasets tailored to your business needs, empowering you to stay ahead of competitors, predict market shifts, and make informed retail decisions with confidence.

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

An Ocado grocery scraper is a powerful tool designed to extract structured product and pricing information from Ocado’s online grocery platform. By automating the process of data collection, it helps retailers, analysts, and FMCG brands access detailed insights into product availability, descriptions, and promotions. Similarly, an Ocado delivery data scraper can track delivery slots, fees, and availability trends in real-time. These scrapers work by crawling Ocado’s website, gathering relevant details, and converting them into structured datasets that businesses can use for analytics and decision-making. This enables companies to gain better visibility into competitive pricing, product catalogs, and delivery patterns without relying on manual tracking, ensuring faster and more accurate insights for the rapidly growing grocery e-commerce market.

Why Extract Data from Ocado?

Extracting data from Ocado provides brands and retailers with actionable insights into pricing, inventory, and product availability across categories. With a Scrape Ocado product data solution, businesses can track SKU-level details such as ingredients, promotions, and product variations, which are crucial for competitive benchmarking. Similarly, Ocado price scraping helps identify price changes, promotional discounts, and dynamic pricing strategies adopted by competitors in the UK market. This data supports revenue optimization, promotional planning, and more effective product positioning. For FMCG brands, analyzing Ocado’s catalog ensures better visibility into competitor strategies, consumer demand trends, and retail performance. Ultimately, extracting data from Ocado enables businesses to optimize pricing, stay competitive, and gain a deeper understanding of customer behavior in the evolving online grocery ecosystem.

Is It Legal to Extract Ocado Data?

The legality of using an Ocado grocery delivery data extractor depends on how data scraping is performed. Publicly available information, such as product details, prices, and promotions, can usually be collected for analysis if done responsibly. However, scraping should always comply with Ocado’s terms of service and relevant data privacy regulations. Tools like Ocado grocery product data extraction are designed to ethically gather information for research, price monitoring, and competitive benchmarking, without disrupting platform performance. Businesses should avoid scraping sensitive customer details or bypassing security systems, as that could raise legal risks. The safest approach is to use structured APIs and scraping tools provided by trusted vendors. When conducted correctly, Ocado data extraction is a valuable, legal, and compliant way to drive actionable retail insights.

How Can I Extract Data from Ocado?

Extracting data from Ocado can be achieved using specialized tools or APIs that simplify the collection of grocery product information. With a Real-time Ocado delivery data API, businesses can monitor delivery slot availability, pricing fluctuations, and shipping timelines seamlessly. Additionally, solutions to Extract Ocado product listings provide SKU-level details including names, descriptions, promotions, and category data, making it easy to compare products at scale. These methods automate data collection, removing the need for manual tracking and ensuring reliable, up-to-date information. Many companies use custom scrapers or cloud-based data APIs tailored for e-commerce, offering clean, structured datasets. Whether for competitive benchmarking, inventory planning, or price intelligence, extracting data from Ocado helps businesses maintain an edge in the dynamic online grocery landscape.

Do You Want More Ocado Scraping Alternatives?

Yes! Beyond traditional scraping, there are multiple Ocado catalog scraper UK solutions and API-driven platforms that provide reliable and scalable access to grocery datasets. These tools allow companies to track real-time catalog changes, pricing strategies, and availability updates without technical complexity. Additionally, an Ocado grocery scraper can be customized to focus on specific categories such as beverages, organic products, or household essentials, offering more relevant insights. Businesses often combine different scraping alternatives, including APIs and cloud-based extraction tools, to get a holistic view of Ocado’s grocery marketplace. Depending on business needs, options range from plug-and-play scrapers for quick insights to enterprise-grade data pipelines for ongoing intelligence. Having multiple alternatives ensures flexibility, accuracy, and efficiency when extracting actionable insights from Ocado’s fast-moving online grocery ecosystem.

Input options

When working with data extraction projects, selecting the right input options is critical for achieving accurate and efficient results. Businesses can define URLs, keywords, or product categories as input sources to customize scraping workflows. For instance, when using an Ocado grocery scraper, input options may include specific SKUs, promotional product tags, or category-based filters like beverages or fresh produce. Similarly, with an Ocado delivery data scraper, inputs can be tailored to track delivery slot availability, time ranges, and geographic regions. Flexible input settings allow teams to target only relevant datasets, reducing noise and improving processing speed. By configuring precise input parameters, companies ensure streamlined data pipelines, cleaner outputs, and actionable insights that align with business goals in grocery e-commerce.

Sample Result of Ocado Data Scraper

{
  "source": "ocado.co.uk",
  "scrape_job_id": "job_20250909_001",
  "scraped_at": "2025-09-09T20:00:00+01:00",
  "query": "search: milk, bread, eggs, yogurt",
  "products": [
    {
      "id": "ocado-123456789",
      "sku": "123456789",
      "name": "GOLDENDALE Whole Milk 2L",
      "brand": "Goldendale",
      "category": ["Dairy", "Milk"],
      "description": "Fresh whole milk, pasteurised and homogenised. Suitable for cereals, cooking and drinking.",
      "pack_size": "2 L",
      "weight_grams": 2000,
      "price": {
        "currency": "GBP",
        "now": 1.85,
        "was": 2.05,
        "unit_price": 0.925,
        "unit_measure": "GBP/L"
      },
      "availability": "in_stock",
      "stock_level": "plenty",
      "image_url": "https://www.ocado.static/images/products/123456789_288.jpg",
      "product_url": "https://www.ocado.com/products/goldendale-whole-milk-123456789",
      "ratings": {
        "average": 4.3,
        "count": 128
      },
      "promotions": [
        {
          "type": "price_drop",
          "description": "Save 10% - offer ends 2025-09-16",
          "valid_until": "2025-09-16"
        }
      ],
      "nutrition_per_100g": {
        "energy_kcal": 64,
        "fat_g": 3.6,
        "saturates_g": 2.3,
        "carbohydrate_g": 4.8,
        "sugars_g": 4.8,
        "protein_g": 3.3,
        "salt_g": 0.1
      },
      "allergens": ["Milk"],
      "barcode": "5012345678901",
      "metadata": {
        "source_type": "product_page",
        "scrape_duration_ms": 120,
        "language": "en-GB"
      }
    },

    {
      "id": "ocado-987654321",
      "sku": "987654321",
      "name": "Waitrose Duchy Organic British Semi-Skimmed Milk 2L",
      "brand": "Waitrose Duchy Organic",
      "category": ["Dairy", "Organic"],
      "description": "Organic semi-skimmed milk from British farms. RSPCA assured.",
      "pack_size": "2 L",
      "weight_grams": 2000,
      "price": {
        "currency": "GBP",
        "now": 2.50,
        "was": null,
        "unit_price": 1.25,
        "unit_measure": "GBP/L"
      },
      "availability": "in_stock",
      "stock_level": "low",
      "image_url": "https://www.ocado.static/images/products/987654321_288.jpg",
      "product_url": "https://www.ocado.com/products/waitrose-duchy-organic-semi-skimmed-milk-987654321",
      "ratings": {
        "average": 4.7,
        "count": 45
      },
      "promotions": [],
      "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": "5023456789012",
      "metadata": {
        "source_type": "product_page",
        "scrape_duration_ms": 150,
        "labels": ["organic", "rspca_assured"]
      }
    },

    {
      "id": "ocado-111213141",
      "sku": "111213141",
      "name": "Essential Waitrose Free Range British Large Eggs (12)",
      "brand": "Essential Waitrose",
      "category": ["Eggs & Dairy", "Eggs"],
      "description": "Free range British eggs, grade A, pack of 12 large eggs.",
      "pack_size": "12 eggs",
      "weight_grams": 720,
      "price": {
        "currency": "GBP",
        "now": 2.25,
        "was": 2.55,
        "unit_price": 0.1875,
        "unit_measure": "GBP/egg"
      },
      "availability": "out_of_stock",
      "stock_level": 0,
      "image_url": "https://www.ocado.static/images/products/111213141_288.jpg",
      "product_url": "https://www.ocado.com/products/essential-waitrose-free-range-eggs-111213141",
      "ratings": {
        "average": 4.5,
        "count": 220
      },
      "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": "5067890123456",
      "metadata": {
        "source_type": "search_results",
        "position": 3,
        "scrape_duration_ms": 80
      }
    },

    {
      "id": "ocado-214365870",
      "sku": "214365870",
      "name": "Müller Corner Strawberry & Vanilla Yogurt 150g",
      "brand": "Müller",
      "category": ["Dairy", "Yogurt"],
      "description": "Strawberry pieces meet creamy vanilla yogurt with a separate corner pot of fruit.",
      "pack_size": "150 g",
      "weight_grams": 150,
      "price": {
        "currency": "GBP",
        "now": 0.85,
        "was": null,
        "unit_price": 5.67,
        "unit_measure": "GBP/kg"
      },
      "availability": "in_stock",
      "stock_level": "limited",
      "image_url": "https://www.ocado.static/images/products/214365870_288.jpg",
      "product_url": "https://www.ocado.com/products/muller-corner-strawberry-vanilla-yogurt-214365870",
      "ratings": {
        "average": 4.1,
        "count": 312
      },
      "promotions": [
        {
          "type": "bundle",
          "description": "3 for £2.00",
          "valid_until": "2025-10-01"
        }
      ],
      "nutrition_per_100g": {
        "energy_kcal": 110,
        "fat_g": 3.0,
        "saturates_g": 1.8,
        "carbohydrate_g": 15.0,
        "sugars_g": 14.0,
        "protein_g": 4.2,
        "salt_g": 0.12
      },
      "allergens": ["Milk"],
      "barcode": "5034567890123",
      "metadata": {
        "source_type": "product_page",
        "origin_country": "UK",
        "scrape_duration_ms": 95
      }
    },

    {
      "id": "ocado-314159265",
      "sku": "314159265",
      "name": "Hovis Best of Both White & Wholemeal Sliced Bread 800g",
      "brand": "Hovis",
      "category": ["Bakery", "Bread"],
      "description": "A soft loaf combining white and wholemeal flours for balanced flavour. Pre-sliced.",
      "pack_size": "800 g",
      "weight_grams": 800,
      "price": {
        "currency": "GBP",
        "now": 1.20,
        "was": 1.40,
        "unit_price": 1.50,
        "unit_measure": "GBP/kg"
      },
      "availability": "in_stock",
      "stock_level": "plenty",
      "image_url": "https://www.ocado.static/images/products/314159265_288.jpg",
      "product_url": "https://www.ocado.com/products/hovis-best-of-both-sliced-bread-314159265",
      "ratings": {
        "average": 4.0,
        "count": 58
      },
      "promotions": [
        {
          "type": "clubcard",
          "description": "£0.20 off with promo code",
          "valid_until": "2025-09-30"
        }
      ],
      "nutrition_per_100g": {
        "energy_kcal": 247,
        "fat_g": 3.5,
        "saturates_g": 0.6,
        "carbohydrate_g": 45.0,
        "sugars_g": 5.0,
        "protein_g": 8.0,
        "salt_g": 0.95
      },
      "allergens": ["Wheat"],
      "barcode": "5098765432109",
      "metadata": {
        "source_type": "product_page",
        "baked_date": "2025-09-08",
        "scrape_duration_ms": 110
      }
    }
  ],
  "summary": {
    "total_products": 5,
    "total_duration_ms": 555,
    "errors": []
  }
}
Integrations with Ocado Data Scraper – Ocado Data Extraction

Integrating with an Ocado Data Scraper enables businesses to unlock valuable insights from the Ocado Grocery Delivery Dataset. By automating Ocado data extraction, retailers, researchers, and analysts can access structured product details such as pricing, availability, categories, nutritional values, and promotions in real time. An Ocado scraper helps monitor competitor pricing, track grocery trends, and analyze product performance efficiently. Companies can integrate this data into BI tools, eCommerce platforms, or pricing intelligence systems for smarter decision-making. With seamless Ocado data integration, businesses can forecast demand, optimize inventory, and improve customer experiences. Whether for market research, price comparison, or trend analysis, Ocado Data Scraper solutions deliver accurate, actionable insights that drive growth. Leverage Ocado Grocery Delivery Dataset for smarter retail strategies.

Executing Ocado Data Scraping Actor with Real Data API

Running an Ocado Data Scraping Actor with a real-time API provides seamless access to the Ocado Grocery Scraping API. This approach enables businesses to automate Ocado API scraping and collect structured datasets on products, prices, categories, promotions, and availability. By executing scraping actors, companies can integrate real Ocado data directly into their workflows, ensuring fast and accurate updates. The Ocado Grocery Scraping API supports advanced use cases such as competitor monitoring, dynamic pricing, stock tracking, and consumer trend analysis. With Ocado API scraping, enterprises gain real-time insights that can be connected to BI dashboards, analytics tools, and eCommerce platforms. This ensures smarter business decisions, optimized operations, and improved market visibility. Harness Ocado Data Scraping Actor execution for scalable and reliable data extraction.

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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'

Additional Resources

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Documentation

Learn more about Real Data API actors
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API reference

Consists of program examples

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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