Browser-based collection
Collect from real websites via the browser, even when content loads dynamically or sits behind your own login.
Data Analysis
From raw web data to insights, in one flow.
Allyhub collects data from websites and files, cleans and structures it, then analyzes it into charts, summaries, and insights. The whole chain — scrape, clean, analyze, report — happens in one place, without code, formulas, or exporting between tools.
Why it matters
Scrapers give you rows. Analysts need answers.
One chain, no tool-switching — Most tools do one piece: a no code web scraper collects, a spreadsheet holds, a BI tool charts. Allyhub runs the chain end to end, so raw pages become explained insights without you ferrying data between apps.
Cleanup built in
Skip the manual cleanup: dedupe, formatting, and structuring are part of the run.
Insights, not just rows
Get the "so what": summaries and insights alongside the tables and charts.
What it does
Every step between a web page and an insight.
Data Analysis covers the pipeline that usually takes several tools: an AI web scraper for collection, cleanup for messy inputs, and analysis that explains what the numbers mean.
01
Scrape web data at scale
Pull product prices, customer reviews, listings, company profiles, and search results out of the sites that hold them.
02
Pull data from files
Work with spreadsheets, CSV exports, and other raw data you already have.
03
Clean and dedupe
Remove duplicates, fix inconsistent formats, and fill the gaps that break analysis.
04
Structure into tables
Turn unstructured page content into organized rows, columns, and fields.
05
Analyze and summarize
Surface trends, comparisons, outliers, and plain-language takeaways from the data.
06
Visualize with charts
Generate charts and visual summaries so patterns are visible at a glance.
How it works
From data source to finished analysis.
Describe what you want to learn, point Allyhub at the source, and it carries the data through collection, cleanup, analysis, and reporting.
01 · Point
Name the websites, pages, or files that hold the data.
02 · Collect
Allyhub scrapes the web data or reads your uploaded files.
03 · Clean
Duplicates, formatting issues, and noise get resolved into a tidy dataset.
04 · Analyze
It runs the comparisons and finds the patterns worth knowing.
05 · Deliver
Results arrive as spreadsheets, charts, and insight summaries.
06 · Reuse
Save the pipeline as a Service and rerun it when the data updates.
Who it's for
Built for data that starts on the web.
Use Data Analysis when the numbers you need live on marketplaces, review sites, directories, dashboards, or in files nobody has time to clean. One dataset can become a full analysis workflow.
E-commerce
Watch how competitor pricing moves over time and see what review data says about products.
Marketing
Collect campaign, creator, and lead data, then measure what performs.
Real estate
Pull listings into structured tables and compare pricing across areas.
Recruiting
Organize sourcing data and spot patterns across roles and markets.
Research
Clean collected datasets and turn them into charts and findings.
Operations
Rerun the same collection-and-analysis pipeline on every reporting cycle.
Outputs
Deliverables, not just datasets.
Each analysis ends in files built for the next step — sharing with a team, feeding a report, or archiving for the next comparison.
01
CSV files
Clean, structured datasets ready for any downstream tool.
02
Spreadsheets
Organized tables in Excel — scraped records, cleaned data, and results.
03
Reports
Analysis write-ups with charts, comparisons, and key takeaways.
04
Services
The full scrape-clean-analyze pipeline saved to run again on fresh data.
FAQ
Questions before your first analysis.
No. Describe the data you want and the questions you have in natural language — Allyhub handles the scraping, cleanup, and analysis steps.
Ready to turn raw data into answers?
Point Allyhub at the pages or files that hold your data. It collects, cleans, analyzes, and reports — then keeps the pipeline ready for the next run.