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Python Scraping Jobs in New York (NOW HIRING)

Expert-level Python proficiency with standard data science and ML frameworks * Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach ...

Expert-level Python proficiency with standard data science and ML frameworks * Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach ...

Junior UiPath Developer

New York, NY · On-site

$73.30K - $95.20K/yr

Understanding of selectors, workflows, data scraping, and REFramework (preferred) * Familiarity with programming fundamentals or languages such as Python, VB.NET, or C# * Strong analytical thinking ...

Leverage Python, SQL, and modern analytics workflows to build scalable analyses, dashboards, and ... third-party web scraping vendors, ensuring quality, relevance, and compliance. * Facilitate ...

Leverage Python, SQL, and modern analytics workflows to build scalable analyses, dashboards, and ... third-party web scraping vendors, ensuring quality, relevance, and compliance. * Facilitate ...

Junior UiPath Developer

New York, NY · On-site

$73.30K - $95.20K/yr

... scraping, and REFramework (preferred) Familiarity with programming logic or languages (Python, VB.NET, C#, etc.) Good problem-solving, analytical, and process-mapping skills Strong communication ...

Junior UiPath Developer

New York, NY · On-site

$73.30K - $95.20K/yr

Knowledge of selectors, workflows, data scraping, and REFramework (preferred) * Familiarity with programming logic or languages such as Python, VB.NET, or C# * Strong analytical thinking and problem ...

Strong scripting ability (Python or JavaScript). Experience working with large datasets or large content libraries. Experience with APIs, scraping, or automation workflows. Strong understanding of ...

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Python Scraping information

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

To thrive as a Python Scraping Specialist, you need strong proficiency in Python programming, understanding of web protocols (HTTP, HTML, CSS), and experience with libraries such as BeautifulSoup, Scrapy, or Selenium. Familiarity with version control systems like Git and knowledge of data storage formats (JSON, CSV, SQL) are also commonly required. Problem-solving, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure efficient data extraction, compliance with website policies, and the ability to deliver actionable insights from web data.

What are some common challenges faced by Python Scraping professionals, and how can they be addressed?

Python Scraping professionals often encounter obstacles such as website anti-scraping measures, dynamic content loading with JavaScript, and frequent changes in website structures. Overcoming these challenges typically involves using tools like Selenium or Playwright for dynamic pages, rotating proxies and user agents to avoid detection, and writing adaptable, modular code to quickly update scrapers when site layouts change. Staying up to date with the latest libraries and best practices is vital for efficiency and compliance with legal and ethical standards.

What is Python scraping?

Python scraping refers to the process of using the Python programming language to extract data from websites or online sources. It typically involves sending HTTP requests to webpages, parsing the HTML or other content, and collecting specific information for analysis or storage. Popular Python libraries for web scraping include BeautifulSoup, Scrapy, and Requests. This technique is widely used in data analysis, research, and business intelligence, but it's important to respect website terms of service and legal guidelines when scraping data.

What is the difference between Python Scraping vs Data Analyst?

AspectPython ScrapingData Analyst
Required SkillsPython programming, web scraping libraries (BeautifulSoup, Scrapy)Data analysis, SQL, Excel, statistical skills
Work EnvironmentTechnical, coding-focused, often remoteBusiness-focused, reporting, presentations
Industry UsageWeb data extraction, research projectsBusiness insights, decision-making
CertificationsPython certifications, web scraping coursesData analysis certifications (e.g., CAP, Microsoft Certified)

Python Scraping involves writing code to extract data from websites, focusing on programming skills and technical tools. Data Analysts interpret and visualize data for business insights, requiring analytical and statistical skills. While both roles work with data, Python Scraping is more technical and coding-intensive, whereas Data Analysts focus on analyzing and presenting data for decision-making.

What job categories do people searching Python Scraping jobs in New York look for? The top searched job categories for Python Scraping jobs in New York are:

Data Science Intern, Music & Audio

Melotech

New York, NY • On-site

Full-time

Posted 15 days ago


Job description

Who we are
Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide.
Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.
What you will do
Join us as Data Scientist Intern to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what factors characterize an underserved category? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:
  • Discovering and exploiting new, untapped data sources through creative scraping techniques
  • Building data processing pipelines from scratch to handle raw, unstructured data
  • Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
  • Spinning up EC2 instances for real-time data collection and automated scraping operations
  • Prototyping and deploying ML models on AWS for real-time predictions and content analysis
  • Creating custom dashboards and reports to communicate insights to leadership
  • Analyzing trends, audience behavior, and performance metrics to guide business decisions

Who you are
We look for upcoming Data Scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You're someone who doesn't just build models, you solve complex business problems by finding creative ways to access hard-to-reach data and translate statistical findings into actionable strategies. Typically, your profile will look like this:
  • Pursuing degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
  • Hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders
  • Expert-level Python proficiency with standard data science and ML frameworks
  • Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach datasets beyond standard APIs
  • Extensive hands-on experience with agentic coding tools and LLMs for data workflows
  • Production model deployment experience including infrastructure and monitoring
  • Advanced data visualization skills using standard libraries or Tableau
  • Strong collaboration skills across engineering, product, and business teams
  • You thrive in a fast-paced and performance-oriented environment
  • Colleagues would describe you as hard-working, ambitious and persistent
  • You're obsessed with music, video or social media

What makes this exciting
You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate.
We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together.
What the process will look like
We hire on a rolling basis. The earliest starting date is always ASAP.
Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage:
  1. Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
  2. Initial interview: 30-minute introductory call - getting to know you
  3. Take-home case study: Real-world project - showcase your skills and working style
  4. Case interview: 90-minute case discussion - present and debate your results with a team member
  5. Founder interview: 90-minute interview with our CEO - going deep on all topics
  6. Team interview: Individual or group interview with other team members - depending on position
  7. Offer, contract signing and onboarding

Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.