Data connector details
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Category: Product Reviews
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Connector type: Standard
Description
Use the JUUL Review connector to retrieve and analyze customer feedback on items sold on https://www.juul.com and https://www.juul.co.uk.
Data limitations
This data connector supports only the US and UK JUUL web sites.
JUUL does not impose limitations on the amount of data that you can pull, but for products with a very large number of reviews you may want to limit it yourself using the Comment Limit option or by narrowing the date range.
If you have issues with no data, try widening your date range on the second page of the wizard.
Input fields
When setting up the connector, provide the URL of the product or products for which you want to analyze customer reviews.
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JUUL Product URL: On the JUUL web site, navigate to the product and from the address bar, copy the URL, then paste it into this field.
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Add new search: To analyze multiple versions of the product or multiple products, click this as many times as needed to add more URLs.
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Upload: Click to upload a file containing a list of product URLs. Takes a TXT file with one URL per line.
(CSV is also acceptable, but it must have one URL per line.) -
Comment Limit: To avoid returning too much data, it is a good practice to set a limit on the number of comments returned.

You can change your date range on the second page of the wizard, or optionally Schedule data crawls to update your data stream periodically.
Data dictionary
This connector returns the following fields that you can use in analysis.
comment_content
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Description: Free-form text of the review.
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Category: text index
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Example: I love the colour and so many people have told them they love how it looks. I really enjoy how its unique and im really enjoying it. I hope that you guys come out with more colours at some point I would love to see that!!!
comment_down_votes
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Description: Number of people who did not find the review helpful.
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Category: meta
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Example: 0
comment_rating
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Description: Number of stars out of five that the reviewer gives the product.
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Category: KPI
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Example: 5
comment_time
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Description: Date and time on which the review was created.
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Category: date index
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Example: 1574467200000
comment_title
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Description: The title of the review.
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Category: text index
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Example: Love
comment_up_votes
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Description: Number of people who found the review helpful.
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Category: meta
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Example: 1
comment_user
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Description: Reviewer’s name.
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Category: user index
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Example: WILLIAM C.
comment_user_level
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Description: Reviewer’s status.
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Category: meta
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Example: Verified Buyer
crawler_time_stamp
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Description: Date and time on which the review was crawled.
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Category: meta
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Example: 1580336494026
product_id
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Description: JUUL ID of the product reviewed.
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Category: meta
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Example: J1D3782
product_name
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Description: JUUL product name of the product reviewed.
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Category: meta
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Example: Limited Edition Ruby JUUL Device
product_price
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Description: Price of the product reviewed.
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Category: meta
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Example: £19.99
product_rating_value
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Description: Average rating for the product.
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Category: KPI
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Example: 4.33
product_url
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Description: URL of the product reviewed.
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Category: meta
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Example: https://www.juul.co.uk/shop/devices/ruby-device
Data
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Description: Adds all output fields to a list visualization.
Further questions?
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