Captured Restaurant Data in Different Time Windows Through Data Scraping

To get exact promotions and discounts that competitors are offering.

It's a very popular Food Delivery Aggregator operating in a few selected cities of the United Kindom. The company is networking with local restaurants and cloud kitchens to increase its delivery network. Within the first 5 years, the company becomes successful in gaining customers' trust. Besides its dedicated collaboration with the restaurants, data is the most essential thing that helped the company here. The company uses publicly available data to understand customers' demands and serve them accordingly.

After five years of continuous operation, the company expanded and now it covers many cities in the Southern UK. At the same time, the complexities of work have increased due to increased area of operations. It also means the company has to scrap more data to expand into new areas as a part of the expansion project. Therefore, the client wanted to delegate the data-scraping process to an outsourcing partner who could perform the task efficiently. The company eventually found AskDataEntry as a promising data scraper so ordered our services.

Importance of Data Scraping Services for Online Food Delivery Businesses

Online food delivery businesses depend largely on data, which is all about the food preferences of people. These businesses need data scraping at the ultimate level to gain knowledge about the delivery process. For example, they can scrap data from publicly available data sources and assess them to understand the market. It helps them know which restaurants to target, what food to target, and more. By having all this data, these companies can make decisions regarding prices and discounts.

Scraping data from multiple websites is a complex process as it involves many elements. With the help of professional scrapers, online food delivery businesses can have all the necessary data in their database. Besides scraping, these experts can store all the data in the database in an accurate format for better access. Outsourcing web scraping services is the best way these companies can get all the data. It helps these companies to get an idea about the competition so they can frame their strategies accordingly.

Challenges Faced by the Company

Initially, the company deployed a team to scrape all the data from multiple platforms and paste it into the database. A team of data scraping experts has been hired for the process to operate all the data from in-house. The team consists of skilled people who performed scraping work before but they faced a lot of challenges here, which are;

  • Difficulties in Managing Simultaneous Operations

The company wanted to collect restaurant information on a real-time basis across multiple locations. However, the team was not capable of performing this simultaneous operation and then made mistakes. They made some silly mistakes in recording the restaurant data in the database. Some datasets were left blank while some datasets were filled with a lot of information by the company. The client wanted everything present in the database in an accurate format but the team could not make it.

  • Different Sets of Data

The company needed data on the restaurants of all slots including breakfast, lunch, dinner, and late-night dinner. By assessing all the information, the company wanted to develop a comprehensive plan for delivery. However, all the data were live and only available at the present moment. The company's team operated from 9 am to 9 pm slots and therefore could not catch the dinner and the late-night dinner options. It reduced the efficiency of the program and made it difficult for the client to proceed with dinner time statistics.

  • Issues in Getting Holiday Information

Again, the company faced hurdles in getting holiday-time restaurant data due to the in-house team. The team usually takes leave during the holidays so getting the holiday-time information becomes very difficult for the company in this case. Therefore, the company had to compromise a bit because of the internal team. Moreover, it created a deadly situation for the client as it cannot opt for more profit during holidays because of a lack of data.

  • Errors in Database

On top of that, the internal team made several mistakes while recording data, which became critical at a later stage. The team mistakenly forgot to add all the attributes to the datasets which made the entire database unworthy. To fix errors in the database, the company initiated many processes before. However, they did not shine due to a lack of skills in the internal team.

Custom Solutions from AskDataEntry

For the client, we developed a robust and amazing solution that removed all the challenges that they were facing. Before developing the solutions, we undermined all the issues and assessed the plan with appropriate measures. We followed a systematic approach in delivering our solutions to the team.

  • Scrap Data in Different Time Window

All the restaurants in the United Kingdom operate in four time windows; breakfast, lunch, dinner, and late-night dinner. Therefore, we distributed our team members to operate at different times to scrap data from the restaurants in real-time. One team consists of 5 people deployed in scraping data from restaurants for breakfast and lunch. Another team of 5 people deployed to scrape data from restaurants for dinner and late-night dinners. Both teams successfully scraped all the information in different time windows.

  • Collecting Competitors' Information

Our efficient team collected all the information of the competitor companies and made a separate database. The team collected information related to offers and promotions from the competitors' websites. Also, they collected menu card information from all the restaurants and created a separate database with that.

  • Using Search Engines to Find Data

With the use of search engines, our team has collected information from different restaurants and competitors' websites. Search engines helped the entire process to run smoothly and genuinely. Besides menu information, the team also collected the location details, metadata, and reviews of the restaurants. It helped the client target different locations and different cities along with other parameters.

  • Sentiment Analysis and Validate

To validate the competitors' data, we performed a sentiment analysis with the algorithm. The team collected review information on the competitors and then performed this assessment. It helped the client to understand the competitors' mindset and develop strategies to compete with them.

client

Ena Mateos

(Director)

AskDataEntry is very passionate about data entry services and its attributes. The company has provided us data scrapping services within a span of 6 months. It changed our entire system positively. We are planning to continue the service as it perfectly fits our budget.

Case Study is Our Evidence!

Our team is ready to accept any challenging data entry tasks.

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