Data Cleaning and Deduplication for Business Datasets
See how cleaning, normalization, deduplication, and QA turn public web data into business-ready datasets for sales, research, and operations teams.
Read article →Build clean public web datasets for market research, competitor analysis, category sizing, trend monitoring, and structured research workflows.
Market Research teams use public web data to support category sizing, competitor datasets, trend monitoring, product records, reviews, and structured research files. Scraping Geek handles the extraction work as a managed B2B service: we review the source list, collect approved public data, clean and deduplicate the file, format the output, and deliver a dataset your team can use directly.
These related Scraping Geek services are commonly useful for Market Research Data Extraction Services teams that need managed public data extraction and clean delivery.
Collect public records related to category sizing, competitor datasets, trend monitoring, product records, reviews, and structured research files.
Compare public pages, listings, prices, reviews, or directories from approved sources.
Organize public data by geography, category, source, and required fields.
Refresh selected public sources with stable columns and source references.
Exact fields depend on public availability, source structure, compliance review, and your approved business use case.
Scraping Geek delivers structured files your team can analyze, import, enrich, or hand to clients.
Market Research deliverables can be grouped by market, source, category, or update period, with clean columns and source references. Deliveries can include CSV, XLSX, JSON, Google Sheets-ready files, data dictionaries, source URLs, duplicate-handling notes, and separate tabs for major segments.
Review the industry data objective, target industry or client niche, source examples, geography, required columns, cadence, and output format.
Confirm that the request uses public data only and avoids private, login-protected, restricted, or sensitive information.
Build a managed workflow around approved public URLs, directories, searches, categories, listings, or public pages.
Normalize fields, remove duplicates, flag missing values, and keep source references available for review.
Provide the approved dataset in the requested format, with refresh notes when recurring delivery is part of the scope.
Market Research datasets are checked for duplicates, missing source URLs, inconsistent categories, malformed values, and location or status mismatches. We also check required column coverage, row-count expectations, formatting consistency, and schema stability for recurring deliveries.
Market research projects are scoped around public sources, aggregate analysis needs, and acceptable downstream use before extraction. Scraping Geek works with public data only. We do not collect private, login-protected, restricted, or sensitive data, and every project is reviewed before acceptance. Requests may be limited or declined if the source, field list, or intended use creates compliance risk.
Public Data Only
Lawful, publicly available sources
Project Review
Every project assessed before start
Careful Scope
Requests may be limited or declined
Tell us about your industry data request. We will review the source, fields, scope, compliance fit, and delivery format.
Yes. Share the desired column list during scoping and the delivery can be formatted around that schema.
Projects can use approved public websites, directories, search pages, listings, review pages, product pages, career pages, or client-provided public URLs that match the scope.
Yes. If the source and compliance review allow it, recurring projects can refresh approved public data on an agreed cadence with a stable output schema.
No. Industry projects are limited to public data and are reviewed before acceptance to avoid private, restricted, login-protected, or sensitive information.