Extract Swiggy & Zomato for Restaurant Ratings and Order Data to Optimize Food Delivery Strategy

In this case study, our advanced data scraping services empowered a leading food industry analytics firm to Extract Swiggy & Zomato For Restaurant Ratings and Order Data efficiently. The client needed real-time insights into customer sentiment, rating trends, and order volume across top cities. We built a custom solution to Scrape Swiggy & Zomato Ratings and Order Data, focusing on top-performing restaurants, low-rated eateries, and trending cuisine types. With structured, high-frequency data pipelines, the client gained visibility into competitor performance, improved their partner onboarding process, and optimized delivery logistics. Our solution ensured scalable extraction with accuracy and speed, overcoming challenges like IP restrictions, data variability, and anti-bot mechanisms. As a result, with Swiggy Food Data Scraping Services , the client achieved a 35% boost in market mapping efficiency and could deliver updated business intelligence reports to stakeholders, enhancing their decision-making and operational planning in a dynamic food delivery landscape.

The Client

A Well-known Market Player in the Food Delivery Industry

iWeb Data Scraping Offerings: Utilize our data crawling services to Extract Restaurant Ratings from Zomato & Swiggy.

Client's Challenge:

The client was struggling to gain Subscription plan intelligence from streaming platforms due to frequent and unannounced changes across multiple OTT services. Manual tracking proved inefficient and error-prone, especially as regional variations and promotional plans shifted rapidly. To stay competitive, they needed Real-time OTT Pricing Trend Analysis with web scraping, but lacked the technical infrastructure to build and maintain scalable scrapers. Furthermore, OTT platforms often used anti-bot mechanisms, captchas, and dynamic content loading, making automation challenging. Without Real-Time Subscription Scraping from OTT Services, the client couldn’t generate timely market reports or adapt pricing strategies. Data silos and inconsistent formatting also hindered their ability to compare subscription models across regions. These issues collectively led to delays in insights, reduced competitiveness, and limited forecasting accuracy—prompting the need for a robust, automated scraping solution tailored to the evolving OTT subscription landscape.

Our Solutions: Food Delivery Data Scraping

To address the client’s challenges, we developed a robust solution to Web Scraping Food Delivery apps for Restaurant Metrics, enabling real-time extraction of ratings, reviews, and order volumes. Our custom-built scrapers bypassed anti-bot mechanisms and handled dynamic content effectively. We implemented location-based filters to Analyze order trends using Swiggy & Zomato scraping, allowing the client to compare performance across regions and cuisines. The solution also included automated scheduling and data normalization pipelines for consistent, structured insights. With advanced proxy management and alert-based monitoring, we ensured scraper reliability and uptime. Our ability to Scrape Zomato Food Delivery Data at scale provided granular visibility into market dynamics. The client could now track competitor success, identify high-performing restaurant partners, and make timely strategic decisions, transforming how they used food delivery data for analytics, reporting, and operational improvement.

Web Scraping Advantages

Customized Scraping Solutions
We design scraping systems specifically for your business goals, whether you need product data, reviews, pricing, or market trends—ensuring high relevance and accuracy tailored to your objectives.
Real-Time Data Collection
Our solutions capture and update data in real time, helping you react quickly to market changes like price fluctuations, customer sentiment, or competitive movements across digital platforms.
Support for Multiple Platforms
We scrape data from websites, mobile apps, and APIs, enabling comprehensive data coverage from various digital sources relevant to your industry, product category, or customer base.
Scalable Infrastructure
Whether you need 1,000 records or 10 million, our scalable cloud-based architecture ensures speed, stability, and cost-efficiency for both small projects and large enterprise-scale scraping tasks.
Advanced Anti-Bot Handling
We use techniques like rotating proxies, headless browsers, captcha-solving, and user-agent switching to avoid detection and ensure uninterrupted data extraction from even the most protected websites.

Final outcome

The final results were transformative. With our Food Delivery Data Scraping Services , the client achieved 98% data accuracy and real-time visibility into restaurant performance metrics. Our Restaurant Data Scraping Service enabled them to benchmark ratings, reviews, and order frequency across multiple regions. Leveraging our Food Delivery Data Intelligence Services , they improved partner onboarding, optimized pricing strategies, and enhanced customer targeting. Access to structured Food Delivery App Menu Datasets empowered their analytics team to identify trending dishes and monitor competitors efficiently. Overall, our solution helped the client reduce manual data tracking by 90% and improve decision-making speed across strategic and operational levels.

Client Testimonial

“We were struggling to gather reliable and timely insights from food delivery platforms until we partnered with this team. Their custom-built data extraction solution gave us access to detailed restaurant performance metrics, order patterns, and customer feedback across cities. The quality and consistency of the data exceeded our expectations. What truly stood out was their ability to handle complex challenges like dynamic content, geo-specific filters, and anti-bot measures. Their ongoing support and fast response times ensured smooth execution from day one. This partnership has significantly enhanced our analytics capabilities and given us a real competitive edge.”

— Head of Data Strategy

Source>> https://www.iwebdatascraping.com/extract-swiggy-zomato-restaurant-ratings-order-data.php