SCRAPERS AND DATA PIPELINES
The data you need, where you need it, up to date.
Supplier lists, competitor prices, listings, B2B contacts, catalogues. If it's public on the web, we extract it, clean it and deliver it in the format you use.
The problem
Someone in the office spends hours copying data from portals into Excel. The list is stale the next day. Duplicates pile up, contacts bounce, prices are three months old.
What we do
- Source analysis: structure, update frequency, terms of use, rate limits
- Scrapers resilient to layout changes, with retries and alerts
- Normalisation: formats, addresses, VAT numbers, phone numbers, categories
- Deduplication and matching across sources
- Enrichment: verified emails, company data, geolocation
- Scheduled delivery to CRM, database, Airtable, Google Sheets or API
Stack
Python · Playwright · Scrapy · Apify · PostgreSQL · Airtable · Email verification · Enrichment APIs
What you keep
A scheduled pipeline, the source code, the clean dataset, and a cost per record measured before scaling.