Crawling/Scraping Expert with experience in Node.js

We are looking for a Crawling/Scraping Expert with experience in Node.js to join our technical team to enhance and scale our data collection systems in the field of price intelligence and e-commerce monitoring.

The successful candidate will be responsible for designing, developing and maintaining high-performance, resilient crawlers capable of acquiring large volumes of data from e-commerce sites in a structured and scalable manner.

Proven experience in web scraping/crawling is required, with a particular focus on anti-bot management, IP rotation and dynamic parsing.
A technical test will be required during the selection process.

The candidate will be part of the data team in full-time mode (8 hours/day).
It is assumed that this will be the candidate's only job; no secondary or freelance work is permitted during our collaboration.

Main responsibilities

• Develop and maintain crawlers in Node.js to acquire structured data from e-commerce and marketplaces.
• Manage anti-bot systems (CAPTCHA, honeypots, rate-limiting).
• Implement proxy rotation, user-agent management, and retry mechanisms.
• Monitor the stability of scraping jobs and intervene in case of errors or crashes.
• Collaborate with the data engineering and operations team to ensure the quality and timeliness of the data collected.

Minimum requirements

• Proven experience in web scraping/crawling, with portfolio or examples of real projects.
• Excellent knowledge of Node.js and its crawling libraries (e.g. Puppeteer, Cheerio, Playwright, Axios, etc.).
• Experience in managing proxies, headless browsers, and anti-detection techniques.
• Ability to write modular, reusable and maintainable code.
• Excellent knowledge of relational databases.
• Autonomy in debugging and solving complex problems.

Preferred requirements

• Knowledge of other languages used in crawling (e.g. Python).
• Familiarity with NoSQL databases (ElasticSearch, Redis).
• Experience in SaaS environments or technology start-ups.

Selection process
The process includes:

• Introductory interview.
• Technical test on a real scraping case (estimated time: 2 hours).
• Final technical interview with the team.