Web Scraping Specialist

The Role

We are seeking a Web Scraping Specialist who is proficient and brings significant experience in data extraction and web scraping techniques. You will join a small, specialized team and lead efforts to gather and analyze data, optimize scraping processes, and support our vision for a future where Grass plays a crucial role in transforming internet data accessibility.

Who You Are

• Demonstrated ability to extract data from complex websites with minimal supervision, with a portfolio or examples of past projects.
• Proficiency in languages such as Python or JavaScript, with strong skills in libraries and frameworks like BeautifulSoup, Scrapy, or Selenium.
• Knowledge of asynchronous programming, multithreading, and distributed scraping.
• In-depth knowledge of HTML, CSS, JavaScript, and the Document Object Model (DOM).
• Experience with NoSQL databases (MongoDB, Cassandra), capable of designing efficient storage solutions and managing data integrity.
• Ability to apply machine learning algorithms for data cleaning, categorization, or predictive analysis adds significant value.
• Experience with cloud services (AWS, Google Cloud, Azure) for deploying and managing scraping jobs at scale.
• Active participation in open-source projects related to web scraping, data processing, or similar fields.

What You'll Be Doing

• Write, test, and refine code that extracts data from various online sources, ensuring reliability and efficiency.
• Perform data retrieval tasks, handling complexities such as pagination and dynamic content loaded with AJAX.
• Clean and format extracted data, ensuring it meets quality standards for further analysis or processing.
• Database management: Store and manage the scraped data in appropriate databases, optimizing for access speed and data integrity.
• Regularly monitor the scraping processes, identify and resolve any issues to maintain continuous data flow.

Why Work With Us

• Opportunity: We are at the forefront of developing a web-scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people.
• Culture: We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We prioritize low ego and high output.