Scrape API Data for Zepto, Blinkit, Instamart, BigBasket, & DMart

How-to-Scrape-Quick-Commerce-API-Data-from-Zepto,-Blinkit-&-More

How to Scrape Quick Commerce API Data from Zepto, Blinkit & More?

Mar 08, 2025

Introduction

The rapid growth of online grocery and quick commerce services has given rise to platforms such as Zepto, Blinkit, Swiggy Instamart, BigBasket, and DMart. These platforms are revolutionizing the way consumer’s access and purchase groceries and everyday essentials. These platforms now offer fast delivery of groceries and other essential products to millions of customers, creating an ever-expanding market.

For businesses, the ability to Scrape Quick Commerce API data from these platforms offers valuable insights, such as product availability, pricing trends, discount strategies, and customer demand patterns. By utilizing these APIs, companies can monitor competitor pricing, track real-time product stock levels, and adjust their marketing or inventory strategies accordingly.

This blog delves into the methods, challenges, and best practices for effectively scraping APIs from these leading delivery services, helping you harness the full potential of the data they offer.

Why Scrape APIs of Delivery Services?

Why-Scrape-APIs-of-Delivery-Services

Scraping delivery service APIs offer invaluable insights into various business strategies, including competitive intelligence, market research, inventory tracking, price monitoring, and consumer trend analysis.

Here's why it matters:

Competitive Intelligence

Gaining insights into competitors' pricing, product availability, and promotional strategies.

Compare pricing strategies across multiple platforms.

Identify emerging trends in product availability and discounts.

Zepto Scraping APIs enable tracking of pricing changes in real time.

Market Research

Understanding market dynamics, such as consumer behavior and demand-supply gaps.

Gain insights into demand and supply gaps.

Monitor real-time product listings and consumer behavior.

Blinkit Scraping APIs are ideal for analyzing trends in fast-moving consumer goods.

Inventory Tracking

Monitoring stock availability, product catalog updates, and delivery times.

Track stock availability across different regions.

Automate updates for product catalogs in e-commerce businesses.

Swiggy Instamart Scraping APIs assist in monitoring stock levels and delivery times.

Price Monitoring

Tracking price changes, discounts, and historical fluctuations.

Retrieve real-time prices and discounts.

Analyze historical price fluctuations for better decision-making.

BigBasket Scraping APIs are invaluable for tracking MRP vs. discounted prices.

Consumer Trend Analysis

Analyzing consumer behavior patterns to identify seasonal trends and product demand.

Identify seasonal buying patterns.

Pinpoint fast-moving and slow-moving products.

DMart Scraping APIs provide valuable data for analyzing location-based consumer demand.

Understanding the APIs of Zepto, Blinkit, Swiggy Instamart, BigBasket, and DMart

Understanding-the-APIs-of-Zepto,-Blinkit,-Swiggy-Instamart,-BigBasket,-and-DMart

In today’s competitive market, many grocery and delivery platforms operate without providing open APIs for public access, making web scraping a crucial method for extracting valuable data. This guide explores how data can be scraped from the APIs of popular delivery services like Zepto, Blinkit, Swiggy Instamart, BigBasket, and DMart.

Zepto Scraping APIs

Zepto is known for its 10-minute delivery model, which results in highly dynamic pricing and inventory data.

To effectively scrape data from Zepto:

Identify the API endpoints by monitoring network requests in the browser’s developer tools.

Use session-based authentication tokens to maintain access.

Capture JSON responses containing essential product details, such as pricing and availability.

Blinkit Scraping APIs

Formerly known as Grofers, Blinkit specializes in ultra-fast deliveries. To extract data from Blinkit:

Capture API calls made from both the mobile app and the web platform.

Send GET requests to specific product listing endpoints.

Manage and handle authorization tokens dynamically to ensure proper access.

Swiggy Instamart Scraping APIs

Integrated within the popular Swiggy app, Swiggy Instamart provides grocery deliveries in record time.

To scrape data from this service:

Analyze API requests made by the Swiggy mobile or web app to identify the relevant endpoints.

Mimic actual requests by including headers such as authorization tokens and user-agent strings to ensure a seamless scraping process.

BigBasket Scraping APIs

As India’s largest online grocery platform, BigBasket (owned by Tata Digital) offers a wealth of data for scraping.

To gather data from BigBasket:

The platform uses structured JSON-based API responses, which are straightforward to parse.

Login authentication is required to access certain parts of the platform.

Automate the data extraction process using Python scripts to streamline and speed up the scraping.

DMart Scraping APIs

DMart is a popular choice for hyperlocal grocery delivery, offering competitive prices across its online platform.

To scrape DMart’s data:

The platform relies on localized store-based data, which can be intercepted via browser developer tools.

Scraping requires managing session cookies to maintain a continuous session and retrieve accurate data.

Understanding and utilizing these scraping APIs allows you to extract valuable insights, track prices, and monitor product availability from these major delivery platforms, even without direct API access.

Top Tools for Effective API Scraping

Top-Tools-for-Effective-API-Scraping

When engaging in API scraping, having the correct set of tools is essential for efficiency and accuracy. Below are some of the top tools that are highly recommended for different aspects of API scraping:

Python Libraries

Python offers several robust libraries for effective web scraping and automation. Here’s a breakdown of some essential libraries you can use:

Requests: Utilized for sending HTTP requests, it is an essential library for interacting with APIs.

BeautifulSoup: A powerful tool for parsing and extracting data from HTML pages, often used with web scraping.

Selenium: An automation framework that simulates user interactions with a browser. It helps scrape dynamic web content.

Scrapy: A comprehensive web scraping framework that facilitates the creation of complex scraping tasks and data extraction workflows.

API Debugging Tools

API debugging tools help troubleshoot and optimize API interactions, making them invaluable for developers:

Postman: A widely-used platform for testing API requests, enabling users to ensure proper functioning and troubleshoot issues.

Burp Suite: A security testing tool that can intercept API calls and responses, helping users analyze and modify requests for debugging purposes.

Proxy & Headers Management

Proxy and headers management is vital for ensuring seamless and anonymous web scraping while also preventing detection:

Rotating IPs: A technique that helps avoid detection and prevents IP blocking by continuously switching between IP addresses.

User-Agent Switching: This technique mimics the behavior of real users by rotating user-agent strings, making requests appear as though they are coming from legitimate web browsers.

Challenges in Scraping Delivery Services APIs

Challenges-in-Scraping-Delivery-Services-APIs

Scraping data from delivery services APIs has various obstacles that can complicate the process. Below are the main challenges and possible solutions to consider:

CAPTCHAs & Rate Limiting

Challenge: Many delivery services APIs implement rate-limiting and CAPTCHAs to prevent automated scraping.

Solution: To overcome this, you can use headless browsers, CAPTCHA solvers, and IP rotation techniques to bypass these restrictions and ensure uninterrupted data scraping.

Authentication Tokens

Challenge: Delivery services often rely on session-based authentication tokens, making it difficult to access API endpoints without the proper credentials.

Solution: Employ auto-login scripts to manage sessions automatically and handle cookies dynamically to maintain a seamless connection to the API.

Frequent API Changes

Challenge: API endpoints of delivery platforms are frequently updated or altered, causing scraping scripts to break.

Solution: To maintain consistency in your scraping efforts, regularly update your scraping scripts and monitor the API documentation proactively.

Legal & Ethical Considerations

Challenge: Many delivery platforms have legal restrictions against unauthorized data scraping, which could lead to compliance issues.

Solution: Always respect the robots.txt file and adhere to legal guidelines to ensure your scraping activities are ethical and within legal boundaries.

Sample Code for API Scraping

API scraping extracts data from a web service using its public or private API. This method efficiently retrieves data in a structured format like JSON or XML, which is ideal for processing and analysis. Below are examples of extracting data from different platforms using APIs and web scraping techniques.

Example 1: Extracting Product Data from BigBasket

Example-1

Example 2: Scraping Swiggy Instamart with Selenium

Example-2

Conclusion

Scraping the APIs of Zepto, Blinkit, Swiggy Instamart, BigBasket, and DMart offers businesses critical insights into pricing, inventory, and market trends. These insights can significantly enhance decision-making and optimize operations. However, ensuring the scraping process is tailored to meet specific business needs and comply with data regulations is crucial.

For businesses seeking to Scrape Quick Commerce API Data, we specialize in tailored scraping solutions that cater to diverse needs globally! Contact Mobile App Scraping today to explore how we can help you unlock valuable data and drive more intelligent business decisions.