Data & Scraping
AI Web Scraping
AI-assisted scraping systems that turn complex public web pages into clean structured records for research, operations, reporting, or downstream automation.
The problem
Pages are messy
Important data is buried in inconsistent layouts, long pages, tables, listings, and unstructured text.
Manual extraction does not scale
Copying information into spreadsheets is slow, error-prone, and difficult to repeat consistently.
Selectors are not enough
Traditional scraping can break when pages vary, fields move, or content needs interpretation.
What we build
Source analysis
We inspect target pages, fields, volume, frequency, and the output your team needs.
Crawler and parser
We build extraction logic with browser automation, structured parsing, and AI cleanup where useful.
Data validation
We normalize records, remove duplicates, flag missing fields, and protect downstream quality.
Delivery pipeline
We send clean data to sheets, databases, dashboards, APIs, or automation workflows.
Industry use cases
Manufacturing
Collect target company, supplier, and distributor data for sales and market research.
E-commerce
Track competitor products, prices, stock status, reviews, and promotions.
Real Estate
Monitor listings, availability, pricing changes, and property data sources.
B2B Services
Build lead lists from public directories, websites, and niche market sources.
Related projects
Frequently asked questions
Have a workflow, data problem, or product idea you want to build?
Let's discuss the fastest path from idea to useful software, automation, or AI-powered system.