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Web Data Scraping Jobs (NOW HIRING)

MLabs

Web Scraping Specialist

New York, NY · On-site +1

$75K - $100K/yr

... a Web Scraping Specialist to join a specialized technical team focused on building the ... Data Retrieval: Manage complex data retrieval tasks, including handling pagination and dynamic ...

MLabs

Web Scraping Specialist

New York, NY · Remote

$75K - $100K/yr

... a Web Scraping Specialist to join a specialized technical team focused on building the ... Data Retrieval: Manage complex data retrieval tasks, including handling pagination and dynamic ...

CTC

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

The position is responsible for extracting data from various websites and APIs, ensuring data ... Develop and maintain web scraping scripts and tools to extract data from websites and APIs.

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Web Data Scraping information

What are the key skills and qualifications needed to thrive as a Web Data Scraping Specialist, and why are they important?

To thrive as a Web Data Scraping Specialist, you need strong programming skills (especially in Python), knowledge of web protocols, and familiarity with HTML, CSS, and JavaScript. Experience with tools like BeautifulSoup, Scrapy, Selenium, and understanding of APIs and data storage solutions are typically required. Problem-solving, attention to detail, and persistence are crucial soft skills for overcoming challenges like anti-scraping measures and complex site structures. These competencies ensure efficient, reliable extraction of valuable data while maintaining compliance and accuracy.

What is web data scraping?

Web data scraping is the process of automatically extracting information from websites using software tools or scripts. This technique allows users to collect large amounts of structured data from web pages, which can then be analyzed or used for various purposes such as market research, price monitoring, or content aggregation. Web data scraping is commonly used in industries that rely on real-time information and competitive analysis. However, it is important to respect website terms of service and copyright laws when scraping data.

What is the difference between Web Data Scraping vs Data Analyst?

AspectWeb Data ScrapingData Analyst
Primary RoleExtracting data from websites automaticallyInterpreting and analyzing data to inform business decisions
Skills RequiredProgramming, web technologies, data extraction toolsStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTechnical, often in IT or data teamsBusiness, finance, marketing departments
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, Tableau, R, SQL

Web Data Scraping focuses on automatically collecting data from websites using programming tools, while Data Analysts interpret and analyze data to support business strategies. Both roles require data handling skills but differ in technical focus and end goals.

What are some common challenges faced in a web data scraping role and how can they be addressed?

One common challenge in web data scraping is dealing with websites that use anti-bot measures, such as CAPTCHAs and frequent layout changes. Adapting to these obstacles often requires creative problem-solving, such as implementing rotating proxies or using headless browsers to mimic human behavior. Additionally, maintaining data accuracy and handling large volumes of unstructured data are ongoing tasks, making strong organizational and scripting skills essential. Collaborating with data analysts and developers is also key to ensuring the scraped data meets project needs and quality standards.
More about Web Data Scraping jobs
What cities are hiring for Web Data Scraping jobs? Cities with the most Web Data Scraping job openings:
What are the most commonly searched types of Web Data Scraping jobs? The most popular types of Web Data Scraping jobs are:
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What job categories do people searching Web Data Scraping jobs look for? The top searched job categories for Web Data Scraping jobs are:
Web Data Scraping jobs near you

Web Scraping Specialist

MLabs

New York, NY • On-site, Remote

$75K - $100K/yr

Full-time

Posted 11 days ago

Job description

Location: Remote with a 6 hour overlap with EST
Remote Full-time
Compensation: $75K - $100K
We are hiring on behalf of our client who is seeking a Web Scraping Specialist to join a specialized technical team focused on building the infrastructure that delivers massive amounts of web data for the training of advanced AI models. This organization operates a massive distributed crawler and manages complex pipelines for ingesting, segmenting, and annotating billions of data points, including videos, transcripts, and audio files.
The successful candidate will lead efforts to gather and analyze data, optimize scraping processes, and support the scaling of high-quality public web data accessibility. This role is ideal for a lean, technical builder who thrives in a fast-paced environment without bureaucratic red tape.
Key Responsibilities:
  • Code Development: Write, test, and refine high-performance code to extract data from various online sources, ensuring maximum reliability and efficiency.
  • Data Retrieval: Manage complex data retrieval tasks, including handling pagination and dynamic content loaded via AJAX.
  • Data Quality: Clean and format extracted data to ensure it meets rigorous quality standards for downstream analysis and processing.
  • Database Management: Store and manage scraped data in appropriate databases, optimizing for both access speed and long-term data integrity.
  • Monitoring and Maintenance: Regularly monitor scraping processes and infrastructure to identify and resolve issues, ensuring a continuous and stable data flow.

Requirements
  • Extraction Expertise: Demonstrated ability to extract data from complex websites with minimal supervision, supported by a portfolio of past projects.
  • Technical Proficiency: Advanced skills in Python or JavaScript, specifically with libraries and frameworks such as BeautifulSoup, Scrapy, or Selenium.
  • Advanced Programming: Strong knowledge of asynchronous programming, multithreading, and distributed scraping architectures.
  • Web Fundamentals: In-depth knowledge of HTML, CSS, JavaScript, and the Document Object Model (DOM).
  • Data Storage: Experience with NoSQL databases (e.g., MongoDB, Cassandra), including the ability to design efficient storage solutions.
  • Cloud Infrastructure: Experience deploying and managing large-scale scraping jobs using cloud services such as AWS, Google Cloud, or Azure.
  • Preferred Skills: Ability to apply machine learning algorithms for data cleaning, categorization, or predictive analysis; active participation in relevant open-source projects.

Benefits
  • Competitive Compensation: A highly competitive salary ranging from $75,000 to $100,000, complemented by a comprehensive benefits and equity package.
  • Impactful Work: The opportunity to work at the forefront of AI development and web-scale knowledge graph creation.
  • High-Output Culture: A professional environment that prioritizes low ego, technical autonomy, and rapid execution.
  • Remote Flexibility: This is a remote position requiring a 6-hour overlap with the core team's schedule.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

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