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Allbirds web scraped data, on sale on Databoutique.com. Dataset created with web scraping, full snapshot of the website.

Home Page: https://github.com/databoutique/Allbirds-web-scraped-data

allbirds-web-scraped-data's Introduction

Allbirds web scraped data

About the website

Allbirds is an innovative shoe company that took its first steps in March 2016 in Wellington, New Zealand. Founded by Tim Brown and Joey Zwillinger, Allbirds are known for their pioneering efforts to create comfortable, stylish, and eco-friendly footwear made from sustainable resources. Although its not currently listed on a stock exchange, the company has gained popularity worldwide, becoming a darling startup with an estimated valuation of over $1 billion. With a committed focus on carbon-neutral products, Allbirds has indeed made its mark in the fashion industry. Additional information can be found on the Allbirds Wikipedia page and the Allbirds Bloomberg page.

In the shoemaking industry, Allbirds faces stiff competition from many established players. One of the top competitors is Rothys, a San-Francisco-based direct-to-consumer shoe company thats equally committed to sustainable fashion. Much like Allbirds, Rothys brand is defined by its recycled plastic bottle-made trendy footwear. Another significant rival to Allbirds is Atoms, a Brooklyn-based brand known for its minimalist, design-focused shoes that offer quarter-sizes for perfect comfort. Although lesser-known than Rothys, Atoms business model is centered ingeniously on a customer-first approach. Check the respective Bloomberg pages of Rothys and Atoms for more information on their operations.

Web scraped data can provide myriad useful insights for Allbirds. For one, monitoring the prices and discounts of their shoes can consistently inform the company of market trends, product performance, and customer preferences. Additionally, it can also help them to understand how their pricing strategies align with their competitors and make necessary adjustments. Data on customer reviews can help Allbirds pinpoint problem areas and work towards improving them. Furthermore, tracking changes on their items’ details can alert Allbirds about necessary inventory adjustments or product cancellations. In essence, factual data and web scraping are powerful resources that can help Allbirds optimize their operations, enhance customer experiences, and stay ahead in the competition.

Link to dataset

Allbirds dataset

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