Service 04 / 06

Data Engineering and Web Scraping

We turn scattered data into structured, reliable and analysis-ready information.

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Short answer

With Python, we build web scraping, API-based data collection, ETL pipelines and scheduled reporting systems that turn scattered data into structured, reliable and analysis-ready information.

What we deliver

Data Engineering and Web Scraping

  1. 01

    Web scraping

    Scheduled and fault-tolerant collectors, including dynamic websites.

  2. 02

    ETL and cleaning

    Data validation, de-duplication and conversion to a standard schema.

  3. 03

    Storage

    PostgreSQL, MySQL or a data warehouse, designed around your needs.

  4. 04

    Reporting

    Dashboards, email reports and alerting.

How we work

How we work

  1. 01

    Source analysis

    We assess data sources, frequency and legal and technical limits.

  2. 02

    Collector development

    We write traceable, fault-tolerant collectors that respect each source.

  3. 03

    Cleaning and storage

    We validate, standardise and store data securely.

  4. 04

    Reporting and monitoring

    Dashboards and alerts keep the system under continuous watch.

Frequently asked questions

Frequently asked questions

Is web scraping legal?

We plan projects within the limits of robots.txt, website terms of use and personal data regulations.

Can the data be updated regularly?

Yes. Scheduled jobs can update data daily, hourly or close to real time.

How do you deliver the results?

Through direct database access, CSV or Excel exports, an API or a dashboard.

Other services

SEO and GEO

Technical SEO, content strategy, structured data and visibility in AI answer engines (GEO).

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Free discovery call for your project

Tell us your idea and we will define scope, technology and an approximate timeline together.

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