【Pricing Example】Utilizing scraping to reduce labor hours for tire information gathering by collecting data from Rakuten’s website

Client

Today, we introduce a case study where our company supported a foreign comprehensive consulting firm in efficiently collecting tire information across multiple websites, specifically from Rakuten, to accelerate their client proposals. This case study will be particularly insightful for those looking to collect large amounts of information quickly.

Objective

Our client, a foreign comprehensive consulting firm, required detailed information about tires for preparing proposals to their clients. Specifically, they needed to comprehensively collect information such as tire manufacturers, brands, sizes, prices, and stock availability from multiple e-commerce sites. However, they faced the following challenges:

1. Cost of data collection across multiple sites: The person in charge was concerned, “Manually collecting the necessary information one by one from multiple e-commerce sites would take an enormous amount of time and effort, leading to immense costs.” Furthermore, manual information collection also posed a risk of human error, causing concerns about data accuracy.
2. Data collection cost across 10 sites in total: They initially had no idea how much it would cost to collect data from multiple sites.

To resolve these challenges, they consulted with our company.

Solution

To solve these challenges, we proposed data collection utilizing scraping technology. Specifically, we developed and executed a program to automatically collect the requested tire information from the Rakuten site.

Data Content

The collected data included the following:

• Target Site: Rakuten
• Data Items: URL, Manufacturer, Brand, Size, Price, Stock Availability
• Number of Records: 11,000 items

Impact of Problem Resolution

Through this data collection, our client experienced the following benefits:

1. Cost Reduction: “If we had collected the data manually, I can’t imagine how much time and effort it would have taken. Automating it with scraping led to significant cost reduction,” they remarked.
2. Reduction of Human Errors: “Human errors, which are unavoidable with manual data collection, were completely eliminated by scraping. This dramatically improved data accuracy, allowing us to prepare proposals with confidence,” they stated.
3. Focus on Core Business for Customer Proposals: The person in charge explained, “Automating this data collection allowed us to dedicate more time to strategic planning and analysis for customer proposals, which is our core focus.”

Pricing

The cost and delivery time for this case study are as follows:

• Price: approximately $265 USD (40,000 JPY)
• Delivery Time: 10 business days

Sample Data

A portion of the collected data is shown below:

For those who want to collect large amounts of information quickly

If you are looking to quickly collect large amounts of information across multiple websites, like in this case, please do not hesitate to contact us. We will propose the optimal solution tailored to your needs.

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