Upload feedback that you
First, tidy your old feedback so it’s ready for upload
Order feedback into columns for each attribute you’d like to import (eg. location, name, created_at date).
For any questions, have a survey setup and choose the question types you’d like to answer for each (Text, ratings and NPS are the most common).
Any rating questions can be converted into a number value ie. 4 stars = 4
If you’d like to date feedback to a specific date you can use the DD/MM/YYYY format
Source → Internal Documents → Create a new import → .CSV file
Click and drag your csv file or click the centre box to upload your file.
You can upload 10,000 feedback each time. The file must be .csv and the first line must be the header
Once your file is selected, select the survey you’d like to link it to.
Map the feedback data
Connect your questions and attributes here
Now we need to match the data source with how Feedier will read the information.
Any existing attributes or questions will appear in the right dropdown
Examples
If Trustpilot:
Data source → Feedier data receiverdiv[class*='styles_reviewHeader']#data-service-review-rating -> Review Score
div[class*='styles_reviewContent'] p -> Review comment
a[class*='styles_consumerDetails'] > span -> attribute name
div[class*='styles_reviewContent'] h2 -> Review title
If AllAgents:
Data source → Feedier data receiver
.agentReviewsWrapper .reviewStarsMobile .reviewTitleText span span ->Review Score
.agentReviewsWrapper .reviewContent span -> Review comment
.agentReviewsWrapper .review_author span strong span -> Attribute Name
@xyz-> Attribute location
Web scraping is done on a daily basis so you can keep up to date with recent reviews as they come in.
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