What needed to work better?
Useful information can be spread across many websites and formats. Reporting needs consistent data before analysis can begin.
DATA ENGINEERING · REPORTING
Web Crawlers & Analytics
Scattered web information, ready for analysis.
Data collection and validation workflows that turn commerce, social, and job-source information into structured reporting inputs.
BUILT FOR
Teams needing repeatable data collection and custom reporting
THE IDEA BEHIND THE BUILD
Start with a real problem.
A connected way forward.
Python-based crawlers collect source information, validation steps prepare the records, and analytics dashboards make the resulting data easier to explore.
WHY IT MATTERS
Designed to make the work easier.
- Less manual information gathering
- More consistent reporting inputs
- Custom views over collected information
WHAT THE PRODUCT DOES
The useful parts, explained.
Core capabilities that turn the idea into a practical product.
Web data collection
Collect relevant information from the target sources.
Browser-based extraction
Use supported browser workflows when the source requires them.
Automated validation
Prepare and check the collected records.
Analytics dashboards
Present the structured information for analysis.
HOW IT COMES TOGETHER
Follow the workflow.
Select a step to see how the project moves from input to outcome.
STEP 01 / THE WORKFLOW
Select sources
Define the information required from each source.
STEP 02 / THE WORKFLOW
Collect
Run the relevant crawler or browser extraction.
STEP 03 / THE WORKFLOW
Validate
Prepare records into a consistent structure.
STEP 04 / THE WORKFLOW
Illustrative workflow overviewExplore
Review the information through custom reporting.
BUILT WITH
The technology behind the work.
The stack behind this project and its connected workflow.
PythonScrapyPlaywrightPandas
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