Public Web Data Compliance Checklist for Business Projects
Use this public web data compliance checklist to scope business data projects around public sources, lawful access, sensitive data limits, and review steps.
Read article →Extract public review and reputation data, ratings, review counts, dates, and platform signals with managed delivery.
Managed Workflow
Built around your data request
Public Data Only
Lawful, publicly available sources
Quality Assured
Cleaned, deduplicated, reviewed
Ready to Use
CSV, Excel, JSON, Google Sheets
Every service page is generated from structured content and includes scoping, extraction, cleaning, QA, and delivery.
Scoping & Planning
We review the source, approved fields, output structure, timeline, and delivery format before starting.
Managed Extraction
We build and run an extraction workflow tailored to the approved public sources and data requirements.
Data Cleaning
We normalize columns, standardize formats, and remove malformed or incomplete values where possible.
Deduplication & QA
Deliveries are reviewed for duplicates, missing fields, inconsistent naming, and unexpected row counts.
Formatted Delivery
Receive your dataset in CSV, Excel, JSON, Google Sheets-ready, or another agreed format.
Recurring Support
For recurring work, we keep the schema stable so new files can be compared, appended, or imported.
This service is for reputation teams, agencies, market researchers, customer experience teams, local operators, product teams, and analysts that need public ratings and review signals in a structured format.
It supports brand benchmarking, location analysis, competitor comparison, customer sentiment preparation, and recurring reputation monitoring.
The exact fields depend on source structure, public availability, compliance review, and intended business use.
Review extraction projects can collect public business or product names, platform names, rating values, review counts, review dates, public review text when approved, category fields, locations, profile URLs, and source references.
Scraping Geek does not collect private data, login-protected data, private messages, account data, or restricted personal information. Every project is reviewed before acceptance.
Compare public ratings and review counts across brands, locations, or competitors.
Collect recurring public review signals for selected businesses or products.
Analyze public sentiment inputs across categories or regions.
Combine review signals from multiple approved public platforms into one file.
Every dataset is cleaned, structured, and delivered in the format your team prefers.
Scraping Geek can deliver review and reputation datasets as CSV, XLSX, JSON, or summary-ready files with normalized rating fields, source URLs, and capture dates.
A streamlined workflow from request to delivery.
We review platforms, public access, requested fields, and intended use.
We define approved review fields, business or product coverage, and delivery format.
We collect public review and reputation signals from approved sources.
We normalize ratings, dates, platforms, source URLs, and duplicate records.
We provide the dataset in the requested format.
Review datasets are checked for duplicate reviews or profiles, malformed ratings, inconsistent platform labels, missing source URLs, and date formatting issues.
When data is collected from multiple platforms, Scraping Geek can preserve platform-specific fields while also normalizing shared columns.
Every reviews and reputation project is reviewed before acceptance. Scraping Geek only collects publicly available data from lawful sources.
We do not collect private account data, login-protected content, private messages, or restricted personal information. Review text collection may require additional scope review.
Public Data Only
Lawful, publicly available sources
Project Review
Every project assessed before start
No Private Data
Login-protected content excluded
Careful Scope
Requests may be limited or declined
Public review text may be included when it is visible, lawful to collect, and approved during scoping.
Yes. Multiple approved public platforms can be normalized into a shared output schema.
Yes. Recurring reputation data extraction can be scoped for selected businesses, products, or profiles.
Scraping Geek focuses on extracting and preparing the dataset. Analysis can be handled by your team after delivery.
Tell us about your project. We'll respond within 24 hours.