Scrape Competitor Products Customer Reviews
Project Title: Scrape Competitor Products Customer Reviews
We a SaaS product. We want to scrape customer reviews of our competitions product, then analysis the total text to identify and score:
* SEO keyword phrases*
Goal is to uncover phrases used by actual people in the industry.
*Negative sentiment phrase*
Goal is to identify common user dislikes of a) a specific saas product and b) across a range of products/market segment.
*Positive sentiment phrase*
Goal is to identify common user likes of a) a specific saas product and b) across a range of products/market segment.
*Trends: Industry, Location, Company Size*
Break down common phrases by industry classification, user country location and number of employees at company. Note though that there may not be enough metric’s data available for this view be statistically meaningful.
“Workfront” is a competitor.
On the review site “G2” there are 710 user reviews. “Trust Radius” shows 485 user reviews. “Gartner” 162 reviews. “Trust Pilot” is 265 reviews and “Capterra” has 998 reviews.
We need to check for duplicate reviews first as some sites share review content. Then remove any review under 50 words to eliminate vague or generic reviews.
We then need to scrape the content and perform analysis.
We have 8 major competitors that run reviews across 6 of the large reviews.
Initially just a single quote to perform Proof-of-Concept, delivering the above data analysis, based on scraping and analysis of the review links below. If successful, we’ll want to perform same analysis on all 8 competitors.
For similar work requirements feel free to email us on email@example.com.