Skip to main content
nimbryx

Solution

Data Extraction & Web Scraping

For the person who opens ten supplier websites every Monday and copies the prices into Excel.

Python · Playwright · Node.js

4-step process

  • 4 clear stagesConfirm what can be collected to Monitor and maintain
  • Python, Playwrightand 4 more in the stack
  • 6 kinds of worklisted below
  • Written estimatefixed price, before work starts

What this is

A lot of business decisions depend on information that is public but scattered: supplier prices, competitor listings, tender notices, marketplace stock. Someone collects it by hand, usually late and usually incomplete. Data extraction replaces that with a script that visits the same pages on a schedule, records what it finds and delivers it as a clean file, a report or a dashboard. We only collect public information, we respect site rules, and we tell you plainly when a source cannot be collected reliably.

Who this is for

  • Traders and retailers who track competitor or supplier prices
  • Manufacturers re-sourcing materials who want a weekly view of the market
  • Firms that monitor public tenders, notices or listings for new opportunities
  • Teams spending hours copying data from websites or portals into spreadsheets

What problem this solves

If two or more of these sound familiar, it is worth a conversation.

  • Manual price checks

    Visiting the same sites by hand every week is slow, and the data is out of date by the time it is compiled.

  • Missed opportunities

    A tender or a price drop appears and nobody sees it in time because nobody was looking that day.

  • Inconsistent data

    Different people record the same thing differently, which makes trends hard to read.

  • No history

    Without stored snapshots you cannot say how a price moved over three months.

What Nimbryx actually builds

Every one of these is built around how your team already works.

  • Scheduled collectors

    Scripts that visit the sources you specify at set times and store the results with dates.

  • Clean, structured output

    Data delivered as Excel, CSV, a database table or an API, with consistent names and units.

  • Change alerts

    Email or WhatsApp notices when a price changes, an item goes out of stock or a new notice is published.

  • Price and trend dashboards

    A simple view of how prices moved by supplier and product over time.

  • Monitoring and repair

    Checks that notice when a site changes its layout and the collector breaks, plus a maintenance plan to fix it.

  • Browser automation

    For repetitive tasks across web tools that have no API, scripted so a person is not clicking through them daily.

How this typically works

From the first conversation to a working system.

  1. Step 1

    Confirm what can be collected

    We check each source for terms of use, robots rules and technical feasibility before agreeing to build it.

  2. Step 2

    Build one source end to end

    A working collector, storage and output for the most valuable source, so you see real data early.

  3. Step 3

    Add sources and alerts

    More sources, the alert rules and the dashboard, once the first one is stable.

  4. Step 4

    Monitor and maintain

    Websites change. A maintenance plan keeps the collectors working and fixes them when they break.

The stack we’d likely use

Mature, well-supported tools. The final choice depends on your project, and we explain it before we start.

  • Python
  • Playwright
  • Node.js
  • PostgreSQL or MySQL
  • Scheduled jobs
  • Email and WhatsApp alerts

An honest note

When this isn't the right call

We do not collect data from behind a login we are not authorised to use, bypass CAPTCHAs or access controls, or take content a site has said it does not allow. If a source offers an API or a data feed, that is better than scraping and we will say so. Scrapers also break when sites change, so this works best as an ongoing service, not a one-off script. If you only need the data once, a freelancer or a manual export may be cheaper.

Not sure which side of the line you’re on? Ask us and we’ll say so.

Common questions

Something we haven’t covered? Ask us directly.

Ask on WhatsApp
Is web scraping legal?

Collecting publicly available information is common practice, but the answer depends on the site's terms, the kind of data and how it is used. Personal data raises further obligations. We check each source before building and will not collect what a site prohibits. This is not legal advice, so for sensitive cases take your own counsel.

What happens when a website changes?

The collector may stop working. Our monitoring flags it, and the maintenance plan covers fixing it. Without maintenance a scraper has a short life, so we are upfront about that.

Can you collect from marketplaces like Amazon or IndiaMART?

Many marketplaces restrict automated access in their terms and defend against it. We look at each case and prefer official APIs where they exist. We will tell you if a source is not a good idea.

How long does a first collector take?

One public source with storage and a file output usually takes 1 to 3 weeks. Complex sites take longer.

Ready to talk about your project?

Tell us what you're trying to build. We'll reply within one business day with honest thoughts, not a sales pitch.

  • First conversation is free
  • Written estimate before anything starts
  • You own the code