Junior Data Scrapper

We are seeking a Junior Data Scraper to support our SaaS and technology-driven projects. The role focuses on extracting, cleaning, and organizing relevant data from web platforms, SaaS tools, and tech-related sources. The ideal candidate should have basic programming knowledge, familiarity with scraping tools, and an eagerness to work on large-scale SaaS data initiatives.

Key Responsibilities :

• Scrape and extract data from websites, SaaS platforms, APIs, and online tech resources.
• Clean, validate, and organize data for use in analytics, reporting, and business insights.
• Assist in developing and maintaining automated scraping scripts for SaaS-related datasets.
• Monitor scraping tasks, troubleshoot errors (e.g., captchas, dynamic content, API limits).
• Ensure data compliance with privacy policies, SaaS platform rules, and legal standards.
• Collaborate with product, marketing, and research teams to provide accurate SaaS-related data.
• Document scraping workflows, tools, and scripts for internal use.

Requirements :

• Bachelor’s degree in Computer Science, IT, Data Science, or related field (or equivalent hands-on experience).
• Basic programming skills in Python (BeautifulSoup, Scrapy, Selenium) or similar scripting languages.
• Familiarity with SaaS platforms, APIs, and tech data sources.
• Understanding of HTML, CSS, and JSON/XML structures.
• Strong problem-solving skills with attention to detail.
• Ability to work in a fast-paced, tech-driven environment.
• Willingness to learn advanced scraping techniques and SaaS data pipelines.
• Experience with SaaS tools/APIs (LinkedIn, HubSpot, Salesforce, etc.).
• Knowledge of database systems (MySQL, MongoDB, PostgreSQL).
• Familiarity with cloud environments (AWS, GCP, Azure).
• Understanding of data processing & visualization tools (Tableau, Power BI, Python Pandas/Matplotlib).
• Knowledge of proxy management & anti-bot techniques.

Job Type: Full-time

Work Location: In person