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How to Efficiently Scrape Just Eat Data

5 min read

Just Eat is a leading online food delivery service that has transformed the way people experience restaurant meals from the comfort of their homes. Just Eat partners with tens of thousands of restaurants, including well-known chains and unique local eateries, providing them with the digital tools, logistics, and marketing support needed to reach more customers. In order to obtain useful insights for outsourcing services, we’ll demonstrate in this post how to scrape Just Eat data.

Recent Progress of Just Eat

As one of the largest players in the food delivery industry, Just Eat plays an essential role in shaping modern dining habits. With its merger with Takeaway.com in 2020, forming Just Eat Takeaway.com, the platform strengthened its competitive edge and broadened its network, enabling even faster service and delivery to millions of users. Key financial highlights for the year include a continued rise in adjusted EBITDA, expected to reach €450 million, and a steady increase in free cash flow. Additionally, the company initiated a €150 million share buyback in mid-2024, which follows previous buyback programs totaling €340 million, reflecting a commitment to returning value to shareholders and enhancing share value.

What Useful Data You Can Get from Just Eat Data Scraping

  • Restaurant information: Details such as restaurant names, types of cuisine, location data, and opening hours. Analysing the geographic distribution of restaurants and determining the most popular cuisines in various areas can be facilitated by this.
  • Menu data: You can capture menu items, descriptions, prices, and any additional details like special dietary options (vegan, gluten-free, etc.). This information is particularly useful for understanding pricing strategies, popular menu trends, and customer demand.
  • Customer reviews and ratings: Scraping reviews and ratings can reveal insights into customer satisfaction, popular dishes, and common complaints or preferences. Analyzing sentiment in reviews can also help to understand brand perception and customer experience trends.
  • Promotions and deals: Information about any current discounts, seasonal promotions, or offers, can be useful for understanding promotional strategies and timing.
  • Delivery fees and timing: Data on delivery fees, estimated delivery times, and delivery areas can help compare service efficiency and competitiveness in different regions.

Benefits of Scraping Just Eat Data

Scraping data from Just Eat offers several benefits, particularly for businesses, marketers, and researchers seeking to understand the dynamics of the online food delivery market. Here are some key benefits:

Analyzing scraped data on popular dishes, cuisines, and customer reviews helps identify market trends. For example, if vegan or gluten-free options are gaining popularity, data might reveal a growing demand for plant-based foods, prompting restaurants to expand their vegan offerings. Data on ordering patterns and peak delivery times can help optimize staffing, inventory, and marketing campaigns. For example, if data shows high order volumes on weekends or holidays, restaurants can ensure they are well-staffed during these times to avoid delays.

Customer insights and sentiment analysis

Reviews and ratings from Just Eat allow companies to assess customer satisfaction and preferences. Sentiment analysis on reviews can reveal strengths and weaknesses, enabling companies to improve food quality, delivery times, or customer service. Insights into customer preferences allow for more personalized marketing. If customers frequently order certain cuisines or dishes, promotions or targeted ads can be tailored to highlight similar items, increasing conversion rates.

Delivery performance monitoring

Analyzing average delivery times and fees in specific areas helps identify any logistical challenges or opportunities. This information is valuable for restaurants as well. They can use this data to refine delivery zones or improve service speed, enhancing customer satisfaction and reducing operational costs.

Localized marketing and expansion strategies

Just Eat data on popular restaurants and cuisines across different regions can guide marketing efforts and inform expansion decisions. For instance, companies might find that certain food types are popular in specific neighborhoods and target their marketing or open new locations accordingly.

It differs. Just Eat prohibits content scraping for use outside of the Just Eat Service and is against web scraping. Just Eat’s terms and conditions specifically prohibit automated access and data scraping, therefore unauthorised data scraping from their website could be a breach of contract. However, since it doesn’t infringe upon Just Eat’s privacy rights, it is entirely legal to scrape publicly accessible data from any website, including Just Eat.

Four Steps to Build a Just Eat Scraper with Octoparse 

Data scraping from Just Eat is easy and doesn’t involve any scripting when using Octoparse. To begin, just download and install Octoparse on your device, create a new account, and follow these steps: 

Turn website data into structured Excel, CSV, Google Sheets, and your database directly.

Scrape data easily with auto-detecting functions, no coding skills are required.

Preset scraping templates for hot websites to get data in clicks.

Never get blocked with IP proxies and advanced API.

Cloud service to schedule data scraping at any time you want.

Step 1: Create a Just Eat scraping task

Copy the URL from the location where you wish to extract data into the Octoparse website’s search bar, then select “Start.” After that, the page’s content will appear on our website.

Step 2: Just Eat page data auto-detection

From the Tips panel, choose “Auto-detect webpage data” after the page loads in Octoparse’s integrated browser. The Auto-detect function might be able to use artificial intelligence (AI) to find extractable objects by looking at a page’s structure. Each piece of identified data on the page will be highlighted by Octoparse after the auto-detect procedure is finished. You can then review each data field using the Data assess box at the bottom.

Step 3: Create the scraping workflow

Click “Create workflow” if every relevant information has been selected. After that, Octoparse will automatically provide a flow chart that illustrates the scraper’s operation. The workflow is previewable on your right-hand side. It includes all of your scraper’s actions. You may quickly establish whether the scraper is operating as intended by clicking on each activity.

Step 4: Run the scraper and export the data

To start the Just Eat scraper, click “Run” after all the parameters have been verified. It’s okay to use your local device for quick runs and problem-solving. Instead, you might assign the task to Octoparse cloud servers, which are able to continuously scrape the latest data. After the scraping process is finished, export the data to CSV/Excel, via API, or into database/Google Sheets.

The Best Just Eat Scraping Substitute: Preset Template

In addition to creating a scraper from scratch, the Octoparse web scraping template provides a quicker and easier way to extract Just Eat data. Preset templates are ready-made scrapers that require no user preparation to obtain data from websites. As of right now, Octoparse has exposed users to hundreds of prepared templates for the majority of popular platforms across the globe.

  • Just Eat Restaurant Listing Scraper

https://www.octoparse.com/template/just-eat-restaurant-listing-scraper

  • Just Eat Restaurant Menu Scraper

https://www.octoparse.com/template/just-eat-restaurant-menu-scraper

  • Thuisbezorgd Sraper

https://www.octoparse.com/template/thuisbezorgd-scraper

Wrap up

With web scraping, you can access detailed insights into competitor pricing, popular menu items, seasonal trends, customer preferences, and operational benchmarks. However, it’s essential to note that data scraping should comply with all relevant legal guidelines and terms of service. Tools like Octoparse provide a user-friendly and compliant way to scrape and manage data efficiently, allowing businesses to leverage Just Eat’s wealth of information to boost performance. Whether you’re a restaurant owner or an industry analyst, Octoparse can help take your business to the next level with responsible data scraping.

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