Zivame

Zivame E-Commerce Data Scraper

Zivame is a popular brand known for its wide range of lingerie, activewear, and comfort-focused apparel. At iWeb Data Scraping, our Zivame E-Commerce data scraper enables businesses to extract accurate and real-time product information efficiently. This tool helps retailers, analysts, and marketers scrape Zivame Fashion Product data, including prices, descriptions, availability, and customer ratings. By automating data collection, companies save time while gaining valuable insights into emerging trends and top-selling items. Our solution ensures structured and reliable datasets, supporting better inventory management, pricing strategies, and promotional campaigns. With iWeb Data Scraping, businesses can make informed decisions, optimize online sales, and monitor competitors effectively in Zivame’s dynamic e-commerce ecosystem marketplace across the USA, UK, Canada, Dubai, India, Australia, Germany, France, UAE, Spain, Philippines, and Mexico.

Zivame Grocery Data Scraper

Use iWeb Data Scraping Data Collector,
or Purchase a Zivame Dataset

  • Monitor Zivame’s daily catalog updates to spot new arrivals and trending lingerie or activewear collections.
  • Prioritize high-demand products to ensure online and offline stock aligns with customer preferences efficiently.
  • Collect detailed product data, including prices, discounts, fabric, and category insights, to guide merchandising strategies.
  • Track inventory movement to identify top-selling and slow-moving items, optimizing stock management and order fulfillment.
  • Use data-driven insights to design promotions, improve customer engagement, and boost sales consistently across Zivame’s platform.

Zivame Scraper Overview

  • Zivame Scraper intelligently captures product nuances, material blends, and style variations to enhance fashion trend prediction capabilities.
  • Monitors dynamic pricing fluctuations and promotional shifts, enabling brands to anticipate market movements and adjust strategies proactively.
  • Collects granular inventory metrics, revealing hidden patterns in customer demand and underperforming lingerie or activewear segments efficiently.
  • Extracts sentiment from reviews and ratings to uncover subtle customer preferences and potential product improvement opportunities systematically.
  • Aggregates category-wise product insights, supporting informed assortment planning, niche targeting, and effective cross-selling strategies across Zivame collections.
  • Converts raw e-commerce data into actionable dashboards for predictive merchandising, optimized stock distribution, and long-term sales growth forecasting.

Zivame Search by Keyword

Sample Input
Url
https://www.zivame.com/category/womens-cotton-bras
Currency
INR (₹)
product_name
cotton lace bralette
Sample Output

{
  "category_url": "https://www.zivame.com/category/womens-cotton-bras",
  "product_url": "https://www.zivame.com/product/zivame-comfy-cotton-bra-86321",
  "product_name": "Zivame Comfy Cotton Bra - Soft Fit, Breathable, Everyday Essential Lingerie",
  "current_price": "INR 749",
  "image": "https://www.zivame.com/images/products/comfy-cotton-bra.jpg",
  "currency": "₹",
  "availability": true,
  "rating": 4.6,
  "sold": 520,
  "store_name": "Zivame Official Store",
  "discount": "12% off",
  "category_name": "Women’s Cotton Bras",
  "material": "Cotton Blend",
  "sizes_available": [
    "32B",
    "34B",
    "36B",
    "38B",
    "32C",
    "34C",
    "36C"
  ],
  "color_options": [
    "White",
    "Black",
    "Beige",
    "Pastel Pink"
  ]
}

What You Can Do With The Data You Collected With The Zivame Data Extractor?

  • Monitor real-time Zivame catalog updates to detect emerging lingerie and activewear trends, enabling proactive stock planning and marketing decisions.
  • Analyze dynamic pricing fluctuations to implement competitive offers while maintaining margins across seasonal sales and flash promotions effectively.
  • Track customer sentiment patterns from reviews and ratings to discover hidden preferences and opportunities for product innovation strategically.
  • Evaluate fabric, color, and size popularity to optimize assortment planning and meet evolving fashion and comfort demands efficiently.
  •  Leverage Fashion data scraping services to identify slow-moving items and top-sellers simultaneously to enhance inventory rotation, reduce losses, and improve warehouse efficiency.
  • Aggregate discount and promotional insights to design targeted campaigns that maximize conversions, retention, and repeat purchases consistently.
  • Generate predictive dashboards combining sales, demand, and trend analytics to guide long-term merchandising, product launches, and strategic business growth.

How it works

  • STEP 1

    Choose the website you would like to scrape public data from, in real-time.

  • STEP 2

    Select the frequency: real-time or scheduled, and delivery format: JSON, CSV, HTML, or Microsoft Excel.

  • STEP 3

    Decide where to send the data: webhook, email, Amazon S3, Google Cloud, Microsoft Azure, SFTP, or API.

Want to learn more?

Talk to an expert to discuss your data collection needs and see our platform in action.

Let’s Talk About Product

What's Next?

We start by signing a Non-Disclosure Agreement (NDA) to protect your ideas.

Our team will analyze your needs to understand what you want.

You'll get a clear and detailed project outline showing how we'll work together.

We'll take care of the project, allowing you to focus on growing your business.