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Anthony R.AR

Anthony R.

Web Scraping / Data mining / Business Intelligence

€1,000/day
Toulouse, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Anthony

Entrepreneur and expert in data scraping, automation, and web APIs, I help companies collect, exploit, and automate data on a large scale.

Co-founder of Piloterr.com, I work daily on complex scraping issues, bypassing web protections, data enrichment, and data infrastructure optimization.

Today, many companies face the same challenges:
• Difficulty in retrieving reliable and usable data
• Sites protected by anti-bot systems or CAPTCHAs
• Unstable scraping scripts that are costly to maintain
• Heavy technical infrastructure to set up and scale
• High costs related to proxies, browsers, and servers
• Time wasted managing maintenance instead of exploiting data

My role is to simplify all this technical part to provide robust, maintainable, and quickly usable solutions for business and product teams.

I intervene in particular on:
• Development of scraping APIs
• Web data collection (e-commerce, real estate, marketplaces, etc.)
• Company & lead data enrichment
• Price monitoring and competitive intelligence
• Data pipeline architecture
• AI integration & automated workflows

I also have strong expertise in performance, scalability, and cost optimization issues related to large volumes of requests.

My goal: to deliver reliable solutions that are quick to deploy and truly useful from a business perspective.

I favor long-term collaborations with a pragmatic, transparent, and results-oriented approach.
  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • AHG - Ateliers de la Haute Garonne
    BI Developer
    AVIATION AND AEROSPACE
    April 2022 - May 2024 (2 years and 1 month)
    Flourens, France
    As a Business Intelligence Developer, I am responsible for the design, development, and maintenance of innovative BI solutions. I work closely with business teams to understand their analytical needs and contribute to the creation of relevant dashboards and reports to facilitate decision-making.
    Business intelligence Microsoft Power BI ETL
  • WebAPI Group
    Co-founder
    SOFTWARE PUBLISHING
    February 2024 - Today (2 years and 4 months)
    Toulouse, France
    WebAPI Group is a group specializing in real-time web data collection, scraping APIs, and large-scale automation technologies.

    Our mission is to enable companies to access fresh, reliable, and usable web data without having to manage all the underlying technical complexity.

    We support players from numerous sectors: e-commerce, SERP, real estate, marketplaces, finance, competitive intelligence, AI, lead generation, travel, social media, and market analysis.

    Our strength lies in our complete mastery of the technical supply chain required for modern scraping:
    • Proxy infrastructure
    • Automated browsers & rendering
    • Anti-bot protection bypass
    • Scalability management
    • Infrastructure cost optimization
    • Monitoring and maintenance of collection systems

    Unlike traditional approaches relying on hard-to-control external components, we develop and master our own tools and infrastructures to guarantee performance, stability, and responsiveness.

    This approach allows us to offer robust real-time scraping APIs capable of handling large volumes while limiting the maintenance and instability issues often encountered in web data collection projects.
    Web Scraping Data retrieval Data mining E-commerce API
  • AHG - Ateliers de la Haute Garonne
    Digital Data Management Technician / Standardization
    AVIATION AND AEROSPACE
    April 2020 - March 2022 (2 years)
    31130 Flourens, France
    Evaluation of existing data: Conduct a thorough analysis of existing digital data to identify inconsistencies, redundancies, and gaps.

    Definition of data standards: Collaborate with stakeholders to define clear and consistent data standards, taking into account business requirements and industry best practices.

    Development of normalization processes: Design and implement effective normalization processes to ensure data consistency throughout its lifecycle.

    Training and awareness: Train internal teams on new data management standards and processes, and raise awareness of the importance of data quality.

    Integration of standards into systems: Work with technical teams to integrate data standards into existing systems and applications.

    Continuous monitoring: Establish monitoring mechanisms to track compliance with standards and perform regular data quality audits.
    Standardization Data analysis Aeronautics

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