Ban management is only the beginning
Food delivery platforms are becoming increasingly complex as they integrate dynamic content, real-time updates, and large catalogs of restaurants and menus. For businesses looking to extract useful data, such as pricing, menu updates, delivery times, and customer reviews, the challenges of scraping these websites have grown.
From search-gated content to infinite scrolling, extracting data from food delivery websites requires advanced tools and techniques. In this article, we’ll explore how web scraping APIs can help you master the art of data extraction from complex food delivery platforms.
Strategies will depend on the type of website complexity
For complex websites that rely heavily on JavaScript (AJAX), or similar languages to handle dynamic content, the typical approach for writing spiders will not suffice.
This is often true for food delivery websites that are dynamically updating their prices and product variations, and also for websites that are getting data from multiple sources without changing their HTML structure.
For those cases, you need specialized libraries, advanced spiders, and the best of web scraping automation tools. Let’s analyze the different types of complex and dynamic content and how web scraping APIs are fit for the job.
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Search-gated content and large menus
Food delivery platforms often require users to input a delivery address or search for a specific restaurant before displaying menus and pricing. This search-gated content can complicate data extraction. To access this information, a search-based crawling strategy is essential.
By using a web scraping API equipped with programmable actions, you can simulate user interactions, such as entering a delivery address or searching for a restaurant. Zyte API offers a headless browser that can interact with search boxes, making it possible to navigate to search results and extract the data you need, such as restaurant menus or pricing for specific locations.
Zyte API offers a headless browser with programmable actions that can be utilized directly from any spider, making it a valuable tool for handling search-based crawling.
Continually updated websites
Food delivery platforms are highly dynamic, with constantly changing restaurant availability, menu items, and pricing. These real-time updates require an adaptable approach to scraping, where data is collected only when changes are detected.
With Zyte API’s automatic extraction feature, powered by AI, you can set up a system that automatically identifies and captures updates in menu offerings or price changes without needing to continuously reprogram your spiders. This ensures that you always have the latest information from the platforms you are targeting.
Zyte API comes with the automatic extraction feature powered by AI, allowing developers to start getting product data from any product website in seconds. Any changes in the website’s schema won't affect the schema of the extracted data you get.
Continual website layout changes
Like many online businesses, food delivery platforms regularly update their website layouts to improve user experience, enhance conversion rates, or run seasonal campaigns. These changes can break traditional web scrapers that rely on specific HTML structures.
Zyte API leverages AI to handle these layout changes seamlessly. Whether the platform updates its menu structure or changes the layout of restaurant listings, Zyte API can dynamically locate and extract the necessary data. This technology allows your scraping spiders to adapt automatically, reducing downtime and minimizing the need for constant maintenance.
Pagination
Restaurant listings on food delivery platforms often span multiple pages, and accessing all the data requires navigating through pagination menus. Whether you need the first few pages of results or specific data from certain restaurants, custom crawling rules can help you automate pagination.
Zyte API’s AI-driven automatic extraction already includes navigation data such as pagination, enabling you to extract restaurant listings and menus efficiently without manual intervention.
Zyte API uses AI and ML to automatically extract web data from common data types, such as articles, products, job postings and SERPs, without needing to write or maintain parsing code for each site. This automatic extraction already considers navigation data such as category following and pagination.
Infinite scrolling
Many food delivery platforms implement infinite scrolling, where new restaurant options load as the user scrolls down. Extracting data from these platforms requires a different approach than paginated websites.
Zyte API’s headless browser supports scrolling actions, such as scrollBottom or scrollTo, allowing you to capture data from infinite scrolling pages.
Zyte API’s headless browser comes with standard actions that allow scrolling but bear in mind that it has a limited run time of less than 1 minute, which might not be enough for some cases.
CAPTCHAs
CAPTCHAs are a common obstacle when scraping food delivery platforms, especially during high-traffic times. The best way to deal with modern CAPTCHAs is to understand and adapt to the triggers that activate them, using strategies like rotating proxies, varying request frequency, and organic crawling patterns to avoid detection.
These tactics can be easily set using a web scraping API. Zyte API will already configure the necessary settings to unblock any website for you without triggering CAPTCHAs.
Geo-locked content
International websites often detect a user’s location to display specific content, such as available restaurants, delivery zones, or local pricing based on the user’s IP address, translations, local currencies, or time zone-related information. And some websites can use this location to ban visits from some countries.
When scraping websites that respond dynamically to geolocation, it’s essential to access them through localized proxies. Zyte API includes an automatic geolocation feature that adjusts its location based on the website’s requirements. Additionally, you can extend the geolocation options to more than 200 countries using Extended Geolocation.
Some websites use ZIP codes or other physical address fields to display specific content. While websites cannot reliably determine your ZIP code from your IP address, using a geolocation from the same country usually grants access to the data. However, you may need to configure a ZIP code on the website manually.
In such cases, you can analyze how the website sets physical address information by examining cookies or other methods, then inject this data into your HTTP requests. Zyte API provides the setLocation action, allowing you to configure the target physical address, store the corresponding cookies, and reuse them in follow-up requests for price data.
In other scenarios, websites might store this configuration not directly in your cookies but in a server-side session record, the ID of which is stored in your cookies. If the same session ID is used across different IP addresses or browsers, some websites may block your requests. To avoid this, you can use Zyte API server-managed sessions, ensuring your requests rotate through sessions with pre-configured ZIP codes.
Relying on web scraping APIs to address the most dynamic content demands
Web scraping APIs are built differently from Proxy APIs or Website “Unblocker” APIs, which are tools designed for one job: overcoming bans to access a website’s content.
While some proxy APIs can connect to headless browsers and other tools, only web scraping APIs have the built-in structure to connect your spiders to a plethora of different tools that you’ll eventually need when scraping difficult websites at scale.
The web will keep evolving, and it will require such of our web scraping tools. Zyte API is evolving into the most adaptable and resilient web scraping API, allowing you to work with both simple and complex websites, regardless of the size of your project.
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