Web Scraping Specialist

🕒 August 4

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 17%

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Logo of Wynd Labs

Wynd Labs

11 - 50 employees

Founded 2018

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Wynd Labs is focused on making public web data accessible for artificial intelligence applications. The company provides enterprise customers with robust web scraping networks for accessing diverse data, such as financial insights for small to medium cap equities. Additionally, Wynd Labs contributes to AI development by offering AI-oriented datasets and designing native AI models to assist in data scraping and structuring. Their platform supports a wide range of business solutions, including AI training data, price scraping, ad verification, and financial data services.

📋 Description

• Write, test, and refine code that extracts data from various online sources • Ensure scraping code reliability and efficiency • Perform data retrieval involving pagination and AJAX-loaded dynamic content • Clean and format extracted data for analysis or processing • Store and manage scraped data in appropriate databases • Optimize database access speed and data integrity • Monitor scraping processes regularly • Identify and resolve issues to maintain continuous data flow • Gather and analyze data • Optimize scraping processes • Support development of a web-scale crawler and knowledge graph

🎯 Requirements

• Significant experience in data extraction and web scraping techniques • Ability to extract data from complex websites with minimal supervision • Portfolio or examples of past projects • Proficiency in Python or JavaScript • Strong skills with 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 such as MongoDB or Cassandra • Ability to design efficient storage solutions and manage data integrity • Machine learning algorithms for data cleaning, categorization, or predictive analysis adds significant value • Experience with AWS, Google Cloud, or Azure for deploying and managing scraping jobs at scale • Active participation in open-source projects related to web scraping, data processing, or similar fields

🏖️ Benefits

• Competitive salary • Benefits package • Equity package • Fully remote work

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