This automation allows you to extract reviews of a specific company or list of companies on Glassdoor.
For this automation to work, you need to provide an URL containing the company reviews you are looking for.
For example: https://www.glassdoor.fr/Avis/Doctolib-Avis-E1018530.htm > your URL should look the same.
To get a right URL, you should navigate to the "Avis" section of the company listed on Glassdoor:
Provide the following key in your csv header or on the platform:
- glassdoor_review_url - as mentioned, it should be the URL of the company reviews
As employees are the best to talk about a company internally, this is very useful to monitor competition's reputation or your own company to get valuable insights.
We added a few parameters to precise your reviews extraction if needed:
- Maximum number of results: per input, precise the maximum reviews you want to extract.
- Earliest date: you can enter a date (following the date format YYYY/MM/DD) from which you want to extract reviews till today.
- Maximum number of days: the maximum number of days to extract reviews from. Enter a string (e.g 30).
Note that of you set an earliest date or a maximum number of days, it will be taken into account before the maximum number of results.
Example: if you set 100 in maximum number of results and 3 in maximum number of days, we will extract the reviews of the three last days, even if they're inferior to 100.