Kévin Alves

Mission Objective:

To build a commercially exploitable database of active practitioners and event organizers (retreats, workshops, seminars) in the wellness, conscious intimacy, and relational coaching fields in France, using multiple sources (specialized directories, Instagram, Google Maps, Google Search).

→ Achievements:

○ Identification and analysis of 8 data sources (5 specialized directories + Instagram, Google Maps, Google Search) → maximum coverage of active profiles beyond just directories.

○ Development of scrapers adapted to each source → structured extraction of practitioner and organizer profiles with pagination, JavaScript rendering, and anti-bot protection management.

○ Configuration of Instagram queries (FR/EN hashtags, bio analysis), Google Maps (multi-city local search), and Google Search (targeted FR/EN keywords) to identify active profiles and retreat/workshop organizers.

○ Cleaning, cross-source deduplication, and semi-automatic enrichment → classification by profile type (practitioner/organizer), verification of recent activity, filtering out non-serious profiles.

○ Delivery of a structured Excel/CSV file allowing for sorting, segmentation, and commercial prioritization of profiles (name, specialty, profile type, city, website, email, Instagram link, event organization).

→ Technical Stack:

Python, Web Scraping (Selenium / Playwright), Automation, Instagram API, Google Maps API, Data Processing, Excel/CSV

→ Mission Objective:

To develop a web scraping API dedicated to "La Bonne Alternance" to automate the collection of internship offers and build a centralized, reliable, and daily updated database for monitoring and opportunity analysis.

→ Achievements:

○ Analysis & reverse-engineering of the target website → pagination, page structure, anti-scraping protections.

○ Design of a robust scraper with parsing and normalization of key data (position, company, location, contract type, publication date…).

○ Development of a REST API exposing structured data for integration into CRMs, dashboards, and internal tools.

○ Implementation of daily automated collection → continuous database updates without manual intervention.

○ Complete documentation of the architecture and usage points to simplify future maintenance and evolution.

→ Technical Stack:

Python, Selenium, Flask (REST API), Docker, Web Scraping, Automation

→ Mission Objective:

To implement a web scraping script to automatically extract and structure IKEA product information (name, reference, size, color) to feed the client's internal application.

→ Achievements:

○ Development of a re-runnable scraper on any IKEA search URL → complete coverage of targeted product catalogs.

○ Extraction and normalization of essential product data for direct use in client systems.

○ Integration of anti-scraping protections (randomization, delays, user-agents…) ensuring scraping continuity.

○ Generation and delivery of data in CSV, ready for import into internal databases or business tools.

○ Documented script → reusable and easily maintainable for future enhancements.

→ Technical Stack:

Python, Web Scraping (Selenium / Requests + parsing), Automation