Managed Data Extraction

Reviews and Reputation Data Extraction

Extract public review and reputation data, ratings, review counts, dates, and platform signals with managed delivery.

Managed Extraction
Public Data Only
Cleaned & Deduplicated
Multiple Formats
Manual QA Review

Managed Workflow

Built around your data request

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Public Data Only

Lawful, publicly available sources

Quality Assured

Cleaned, deduplicated, reviewed

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Ready to Use

CSV, Excel, JSON, Google Sheets

What's Included

End-to-End Managed Data Extraction

Every service page is generated from structured content and includes scoping, extraction, cleaning, QA, and delivery.

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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.

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Data Cleaning

We normalize columns, standardize formats, and remove malformed or incomplete values where possible.

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Deduplication & QA

Deliveries are reviewed for duplicates, missing fields, inconsistent naming, and unexpected row counts.

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Formatted Delivery

Receive your dataset in CSV, Excel, JSON, Google Sheets-ready, or another agreed format.

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Recurring Support

For recurring work, we keep the schema stable so new files can be compared, appended, or imported.

Who This Is For

Built for Business Teams That Need Data

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.

Data Types

What Data Can Be Collected

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.

Business or product name Platform Profile URL Rating Review count Review date when available Public review text when approved Category Location Reviewer display field when suitable Capture date Source URL
Use Cases

How Businesses Use This Service

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Reputation benchmarking

Compare public ratings and review counts across brands, locations, or competitors.

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Review monitoring

Collect recurring public review signals for selected businesses or products.

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Market research

Analyze public sentiment inputs across categories or regions.

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Data consolidation

Combine review signals from multiple approved public platforms into one file.

Deliverables

Clean Data, Your Way

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.

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CSV
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XLSX
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JSON
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Summary reports
How It Works

Our Process

A streamlined workflow from request to delivery.

Review

We review platforms, public access, requested fields, and intended use.

Scope

We define approved review fields, business or product coverage, and delivery format.

Extract

We collect public review and reputation signals from approved sources.

Clean

We normalize ratings, dates, platforms, source URLs, and duplicate records.

Deliver

We provide the dataset in the requested format.

Quality Assurance

Quality Checks on Every Delivery

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.

Compliance

Responsible Data Collection

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.

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Public Data Only

Lawful, publicly available sources

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Project Review

Every project assessed before start

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No Private Data

Login-protected content excluded

Careful Scope

Requests may be limited or declined

FAQ

Frequently Asked Questions

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.

Get Started

Request a Reviews and Reputation Data Extraction Quote

Tell us about your project. We'll respond within 24 hours.

Example: business listings, product data, prices, reviews, job postings, real estate listings, or another public dataset.
List the columns you want in the delivered dataset, such as name, URL, category, price, address, phone, rating, or source URL.
An estimate is enough, such as 500 records, 10,000 products, all listings in selected cities, or not sure yet.
Share the target delivery date or timing, if one exists.
Describe the project, source context, delivery expectations, filters, and any important requirements.
Optional. Upload a sample input, desired output format, or reference file. Do not upload private or sensitive data.
24-Hour Response
🔒 No Obligation
📄 NDA Available
Free Scoping