Solution

Intelligent scraping

When there's no API (or it doesn't work), a reliable extractor is built. Not "a script and done": scraping with normalization, deduplication, change control, monitoring and maintenance if applicable.

Tell me what data you need See method

What it solves

Problemas

Typical problems

"I need data from websites that don't have an API."
"I have information scattered across multiple sources and don't know how to unify it."
"The data I extract has inconsistent formats and errors."
"I don't know if the data has changed or if there are duplicates."

Resultado

Result

Unified dataset with consistent and normalized structure.
Change control: know what changed, when and why.
Automatic deduplication and data quality validation.
Monitoring and alerts if something fails or the source changes.

What it includes

1) Diagnosis

I analyze the sources: what data you need, what structure they have, what blocks there are and what risks. We define what to extract first to have impact.

2) Extractor design

Building the scraper with anti-blocking, error handling and normalization. It's not just code: it's a system that adapts to changes and is maintained.

3) Normalization and control

Format unification, deduplication and change control. The goal is a clean and traceable dataset: know where each data comes from and if it changed.

4) Documentation + delivery

How it works, how it's maintained and what to do if the source changes. If you need continuity, we propose maintenance or improvements.

Typical stack

We choose tools for reliability and maintainability. Not for fashion.

Languages

Python (BeautifulSoup, Scrapy, Selenium), JavaScript/Node.js (Puppeteer, Cheerio) depending on the case.

Sources

Websites, public APIs, PDFs, Excel, databases. What you need, adapted to each source.

Infrastructure

Servers, schedulers, databases (PostgreSQL, MySQL), logs and alerts. The minimum to work without breaking.

FAQ

Is this legal?

Depends on context: terms of use, robots.txt, fair use. In the diagnosis we evaluate the case and propose alternatives if needed.

What if the website changes?

It's designed with changes in mind. If the HTML structure changes, we adjust the extractor. If you need continuity, we propose maintenance.

How long does it take?

Depends on source complexity and volume. In the diagnosis (48h) I mark scope, risks and realistic deadlines.

Does it work if I get blocked?

Anti-blocking is designed (IP rotation, headers, delays, etc.). If there are persistent blocks, we evaluate alternatives or maintenance.

If you give me context, in 48h I'll give you clarity

What data to extract, what sources to use, what risks there are and what deliverables to build to have impact.

Tell me what data you need