Matteo  L.
ML
Senior Buyer
Retail
Enterprise (> 1000 emp.)
"Useful Market Data for Retail Forecasting"
5/5
What do you like best about Webparsers?

The data is consistent and easy to integrate into our existing models. We especially find competitor pricing, product availability, and promotions useful for understanding changes in the retail market. Review collected by and hosted on G2.com.

What do you dislike about Webparsers?

Some of the more advanced documentation was limited initially, so we had to rely on the support team. They were responsive, and the documentation has improved over time. Review collected by and hosted on G2.com.

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