Glassdoor Review Extraction
Budget: $250 – $750 USD
I'm looking for a highly skilled and experienced developer to scrape review data from GlassDoor. The captured information will include the overall rating and the name of the company.
Key Requirements:
- Ability to write a scraping script using JavaScript. Applicants should have a solid understand of the basics and libraries that might be helpful in this project.
- This task needs a clean and efficient extraction method, maybe with checks in place to avoid being blocked by GlassDoor. Therefore, knowledge or experience with web scraping ethics and tactics is a must.
- All scrapped data should be stored in a CSV file. Competency in handling data and converting or storing such in CSV format is crucial.
Ideal applicants should have prior experience with similar projects, particularly scraping large amounts of data and handling or storing said data effectively. Please provide examples of previous work in your response. Your understanding of the project will be key for success. This is for a one-time project, but could lead to longer term work if this project is successful.
Key Requirements:
- Ability to write a scraping script using JavaScript. Applicants should have a solid understand of the basics and libraries that might be helpful in this project.
- This task needs a clean and efficient extraction method, maybe with checks in place to avoid being blocked by GlassDoor. Therefore, knowledge or experience with web scraping ethics and tactics is a must.
- All scrapped data should be stored in a CSV file. Competency in handling data and converting or storing such in CSV format is crucial.
Ideal applicants should have prior experience with similar projects, particularly scraping large amounts of data and handling or storing said data effectively. Please provide examples of previous work in your response. Your understanding of the project will be key for success. This is for a one-time project, but could lead to longer term work if this project is successful.