Freelancer profile translated to English.

Description

I transform your web data into actionable insights to inform your decisions and save you valuable time.

Do you need reliable data, but manual collection is time-consuming and error-prone? I help you automate data extraction and processing from any web source or API.

What I do specifically:

-Custom web scraping: I extract the data you need, whether from simple sites, complex pages, JSON, or APIs. I adapt to your context and handle potential technical blocks.

-Cleaning and structuring: I transform raw data (often messy) into clean, organized, and ready-to-use information for your analyses, dashboards, or reports.

-Deliverables tailored to your needs: You receive your data in the format you want (Excel, Google Sheets, CSV, database, etc.) with clear documentation and follow-up if necessary.

-Personalized support: I always start with an audit of your needs, propose a suitable solution, develop it, and remain available for light maintenance if you wish.

Why work with me?

-You save time: no more endless copy-pasting.

-You make reliable decisions: your data is accurate, up-to-date, and well-structured.

-You focus on your core business: I take care of the technical part.

Have a project in mind? Let's discuss it. I am responsive, attentive, and always offer a simple and effective solution.

Languages

French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Freelance
Centralization of real estate listings
February 2026 - February 2026
Extraction and normalization of land listings from several local real estate platforms, with a focus on data quality and consistency.
Responsibilities:
Analysis of HTML structures specific to each targeted site.
Design of a specific extraction strategy per source.
Development of scrapers with Requests and BeautifulSoup.
Data processing and quality improvement:
Harmonization of price formats (Ariary / Euro).
Distinction between total price and price per m².
Normalization of areas (conversion to m²).
Removal of duplicates and incomplete entries.
Structuring of key fields: price, area, location, description, images, and URL.
Results:
Consolidated and structured dataset ready for market analysis.
Cleaned and standardized data facilitating the calculation of price per m².
Usable database for dashboard creation and monitoring of real estate trends.
freelance
E-commerce product extraction (Fnac & Cdiscount)
January 2026 - January 2026
Extraction of over 2,000 product references from two major e-commerce platforms, with the implementation of a robust strategy against anti-bot mechanisms.

Responsibilities:
Technical analysis of HTML structures, network requests, and dynamic loading (JavaScript).
Design of an extraction strategy adapted to each site (distinct structures and logic).
Development of an automated scraper with Playwright.
Implementation of anti-bot bypass techniques:
-Residential proxy rotation
-Browser fingerprint management
Simulation of human behaviors (delays, scrolling, progressive navigation)
Data cleaning, normalization, and structuring with Pandas.
Export of consolidated data in CSV format.

Results:
+2,000 products collected and consolidated into a single dataset.
Clean, typed data ready for comparative analysis and price tracking.
Reusable and adaptable extraction pipeline for other e-commerce sites.
Web Scraping Python Pandas Playwright Beautiful Soup