ZECH
Automation & Data · Data

Web data extraction that stays accurate after the website changes.

We collect data from permitted public and partner sources, turn it into structured records, validate it and keep it refreshed — with monitoring for the layout changes that break naive scrapers.

What we deliver
  • Source assessment
  • Extraction jobs
  • Structured output schema
  • Validation and change detection
  • Scheduled refresh and delivery
Tools & platforms
PythonPlaywrightScrapyPostgresApache Airflow

Where this helps

Market data is gathered by hand
Someone visits competitor, supplier or marketplace sites each week and copies prices, listings or availability into a spreadsheet. It is slow and always slightly out of date.
Scrapers break without warning
An existing script worked until the site changed its layout. Now it returns empty or wrong values, and nobody noticed until a report looked odd.
Extracted data is too messy to use
Raw scraped pages contain inconsistent units, formats and duplicates, so the data needs heavy cleaning before anyone can rely on it.

What we deliver

01
Source assessment
A review of each target source covering terms of use, robots directives, available APIs or feeds, page structure and update frequency.
02
Extraction jobs
Collectors built for each source, using official APIs or feeds first and page extraction only where permitted and necessary.
03
Structured output schema
A defined schema with normalized units, formats and identifiers, so records from different sources can be compared.
04
Validation and change detection
Checks for missing fields, out-of-range values and sudden volume drops that signal a layout change, with alerts to an owner.
05
Scheduled refresh and delivery
Runs on an agreed cadence, delivering to your database, warehouse, files or API with a history of each run.

How it works

  1. 01

    Confirm sources and permissions

    We list target sources, check terms and technical restrictions, and agree which are in scope.

  2. 02

    Define the output

    We agree the fields, formats, matching rules and refresh frequency the downstream use needs.

  3. 03

    Build collectors

    Extraction is built source by source, with polite request rates and error handling.

  4. 04

    Validate and deliver

    Output is checked against manual samples before scheduled delivery starts.

  5. 05

    Monitor and maintain

    We watch for failures and layout changes and update collectors as sources change.

Design decisions we make with you

  • Permitted sources only

    We collect from sources where access is allowed by their terms, respect robots directives and rate limits, and do not bypass logins, paywalls or access controls.

  • API before scraping

    Where a source offers an API, feed or data partnership, we use it — it is more stable and more clearly permitted than page extraction.

  • Personal data

    We avoid collecting personal data unless there is a clear lawful basis, and minimize what is stored when it is necessary.

  • Web data versus documents

    This service covers websites and online sources. Extracting data from PDFs, scans and forms you receive is document intelligence, which uses different methods.

Questions buyers ask

It depends on the source, its terms, the data collected and your jurisdiction. We only collect from sources where access is permitted, do not bypass access controls and recommend legal review for anything uncertain. This is not legal advice.

Validation checks detect sudden drops in volume or missing fields and alert us. We update the collector, and the run history shows exactly which data was affected.

Web extraction collects data from websites and online sources. Document intelligence reads documents you receive — invoices, forms, contracts — and usually relies on OCR and language models.

Discuss this capability with an engineer.

Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.