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Drizly Scraper - Scrape Drizly Wine, Beer, And Spirits Data

RealdataAPI / drizly-scraper

Real Data API offers a powerful solution with its Drizly Scraper, enabling businesses to extract accurate wine, beer, and spirits data in real time. With the advanced Drizly alcohol data scraping API, companies can monitor product pricing, stock availability, promotions, and competitor offerings across multiple locations. This empowers smarter inventory management, pricing strategies, and sales forecasting for liquor retailers and distributors. By leveraging a structured Drizly Liquor Dataset, organizations gain actionable insights to analyze market trends, consumer preferences, and regional demand patterns. Whether you are a retailer, distributor, or analytics provider, Real Data API equips you with scalable, reliable data intelligence for the liquor industry.

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

A Drizly data scraper is a tool that automatically collects information about wine, beer, and spirits from Drizly’s platform. A Drizly liquor product data scraper scans product pages or APIs to extract structured data such as prices, availability, brands, and promotions. The collected data is stored in databases or dashboards for analysis. Businesses use this tool to track market trends, compare competitor pricing, and optimize inventory management. Automated scraping saves time, reduces human errors, and ensures access to up-to-date product information, enabling liquor retailers and distributors to make data-driven decisions and improve operational efficiency.

Why Extract Data from Drizly?

Extracting product data provides real-time insights into market dynamics. When you Scrape Drizly wine, beer, and spirits data, you can monitor pricing trends, track stock availability, and identify popular products or promotions. This intelligence supports smarter decisions in pricing strategy, inventory planning, and marketing campaigns. Retailers and distributors can use the data to anticipate demand, improve customer targeting, and benchmark performance against competitors. By accessing structured product information, businesses gain a competitive edge, optimize supply chains, and make proactive adjustments in a fast-moving liquor market, ensuring higher revenue, better customer satisfaction, and operational efficiency.

Is It Legal to Extract Drizly Data?

The legality of Drizly pricing and availability data scraping depends on the method and purpose of extraction. Scraping publicly available information for research, analytics, or competitive intelligence is generally permitted if conducted responsibly and in line with Drizly’s terms of service. Excessive requests, misuse of proprietary content, or violations of intellectual property and data protection laws can result in legal issues. Companies should follow ethical scraping practices, respect robots.txt rules, and partner with professional data providers. This ensures safe, compliant extraction while gaining insights from product pricing and availability data for smarter business decisions.

How Can I Extract Data from Drizly?

Automated tools allow efficient and accurate collection of liquor product information. A Drizly alcohol retail data extractor gathers wine, beer, and spirits pricing, availability, promotions, and stock levels in real time. Companies can use APIs, custom scrapers, or third-party platforms to automate extraction. The resulting structured datasets can be integrated into dashboards, analytics systems, or pricing engines to support decision-making. Automation saves time, reduces human errors, and enables continuous monitoring of market trends. Retailers and distributors can use these insights to optimize inventory, adjust pricing dynamically, and plan marketing campaigns based on real-time consumer demand and competitor activity.

Do You Want More Drizly Scraping Alternatives?

Relying solely on one platform limits market intelligence. Expanding beyond Drizly wine and spirits catalog data extraction enables businesses to compare trends across multiple liquor platforms, uncover competitor strategies, and identify regional demand patterns. Multi-source scraping enhances forecasting, inventory planning, and revenue management, providing a more comprehensive view of the market. By diversifying data sources, retailers and distributors gain actionable insights for smarter decisions, reduce dependency on a single provider, and mitigate risks from incomplete data. Exploring alternative scraping options ensures better market coverage, accurate analytics, and stronger operational and pricing strategies in the highly competitive liquor industry.

Input options

Input options allow businesses to customize how liquor data is collected and analyzed for maximum relevance. Parameters such as product type, brand, price range, availability, location, and promotions help filter results for specific needs. Using the Real-time Drizly liquor pricing data API, companies can instantly access live prices, stock levels, and promotional information for wine, beer, and spirits. Tools that Extract Drizly product listings and stock data provide structured datasets ready for analytics, dashboards, or integration with inventory and pricing systems. Well-designed input options improve data accuracy, reduce manual effort, and empower retailers and distributors to make faster, smarter decisions.

Sample Result of Drizly Data Scraper

{
  "source": "Drizly",
  "scrape_date": "2026-01-11",
  "search_parameters": {
    "category": "Wine",
    "location": "New York, NY",
    "brand": "Barefoot",
    "price_range": "10-20"
  },
  "products": [
    {
      "product_name": "Barefoot Pinot Grigio",
      "type": "Wine",
      "size": "750ml",
      "price": 12.99,
      "currency": "USD",
      "availability": "In Stock",
      "promotion": "10% off"
    },
    {
      "product_name": "Barefoot Cabernet Sauvignon",
      "type": "Wine",
      "size": "750ml",
      "price": 13.49,
      "currency": "USD",
      "availability": "Limited Stock",
      "promotion": "None"
    }
  ],
  "beers": [
    {
      "product_name": "Budweiser Lager",
      "type": "Beer",
      "size": "12-pack",
      "price": 14.99,
      "currency": "USD",
      "availability": "In Stock"
    }
  ],
  "spirits": [
    {
      "product_name": "Jack Daniel's Old No. 7",
      "type": "Whiskey",
      "size": "750ml",
      "price": 29.99,
      "currency": "USD",
      "availability": "In Stock"
    }
  ]
}



Integrations with Drizly Scraper – Drizly Data Extraction

Integrating a Drizly Scraper with business systems allows retailers and distributors to access real-time liquor intelligence seamlessly. Automated workflows connect extracted data directly to pricing engines, analytics dashboards, and inventory management platforms, enabling faster and smarter decisions. Using a Drizly liquor catalog scraper for market insights, companies can monitor product availability, pricing trends, promotions, and competitor offerings across regions. These integrations reduce manual effort, improve data accuracy, and provide actionable insights into consumer demand and market dynamics. With reliable, structured data at their fingertips, liquor businesses can optimize pricing, forecast inventory needs, and enhance operational efficiency in a competitive marketplace.

Executing Drizly Data Scraping with Real Data API

Executing Drizly data scraping with Real Data API allows liquor retailers and distributors to access accurate, real-time market intelligence efficiently. The Drizly API automates the collection of wine, beer, and spirits pricing, stock availability, and promotions, delivering structured and reliable data for analysis. Companies can monitor market trends, track competitor pricing, and optimize inventory and sales strategies. By leveraging a clean Drizly Liquor Dataset, businesses can perform deeper analytics, forecast demand, and plan marketing campaigns effectively. Automated scraping reduces manual effort, ensures data accuracy, and empowers liquor businesses to make faster, smarter, and data-driven decisions in a competitive market.

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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