Scrape GMB reviews and compare data

Hello,

I am looking for an experienced data analyst or researcher to help us investigate the authenticity of Google My Business reviews across 40 different profiles.

The project involves the following:

1. SCRAPING
Scrape all reviews from 40 provided Google My Business listings and compile them into a clean, organised spreadsheet including reviewer name, profile link, review date, star rating, review content and reviewer location where available.

2. ANALYSIS
Analyse the scraped data to identify patterns and anomalies including but not limited to:
- Reviewer account age and activity history
- Geographic location of reviewers versus the business location
- Similarities in language, phrasing and writing style across reviews
- Clusters of reviews posted within short timeframes
- Reviewers with limited or no other review history
- Any cross-referencing of the same accounts across multiple listings

3. REPORT
Produce a clear, professional report summarising your findings with evidence to support whether the reviews appear genuine or fraudulent. The report should be suitable for submission to Google.

Ideal candidate will have:
- Experience in data scraping and analysis
- Familiarity with Google My Business and review platforms
- Strong attention to detail
- Ability to present findings clearly and professionally
- Experience producing reports for legal or compliance purposes is a bonus