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Data Analysis of Glassdoor Reviews
I hope this email finds you well. My name is Louard, and I am a PhD student from Taiwan. I came across your insightful GitHub repository titled "glassdoor_reviews," which contains a CSV file and Python code related to employee ratings of companies on Glassdoor. I am truly impressed by your work and the valuable data you have collected.
My current research focuses on the impact of employee ratings on companies, and I believe that your dataset and code could be immensely helpful for my study. As I aim to analyze more recent data, I was wondering if you would be willing to share your expertise on web scraping and guide me on how to update the dataset to include information up to 2023.
I would be incredibly grateful if you could provide me with some insights into your web scraping methodology and any tips or best practices you recommend for collecting the latest data from Glassdoor. If you have any updated code or scripts that you are comfortable sharing, I would greatly appreciate that as well.
I want to assure you that I will use your code and methodology solely for academic research purposes, and I will properly cite and acknowledge your work in any resulting publications. I am more than happy to share my findings with you once my research is complete.
Thank you in advance for your time and consideration. I look forward to learning from your expertise and potentially collaborating with you on this exciting research topic.
Best regards,
Louard
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