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Online Data Scraping Jobs (NOW HIRING)

Web Scraping Specialist

New York, NY

$102K - $103K/yr

Web Scraping Specialist $70k - $140k Who We Are. Wynd Labs is an early-stage startup that is on a ... Write, test, and refine code that extracts data from various online sources, ensuring reliability ...

Web Scraping Specialist

New York, NY · On-site +1

$75K - $100K/yr

Write, test, and refine high-performance code to extract data from various online sources, ensuring ... Regularly monitor scraping processes and infrastructure to identify and resolve issues, ensuring a ...

Web Scraping Specialist

New York, NY · Remote

$75K - $100K/yr

Write, test, and refine high-performance code to extract data from various online sources, ensuring ... Regularly monitor scraping processes and infrastructure to identify and resolve issues, ensuring a ...

... online. Data at Work (not-for-credit) courses have a customized schedule. Core Courses ... Data Wrangling and Web Scraping, * Data Internships Preparation for Social Impact * Exploring ...

... online. Data at Work (not-for-credit) courses have a customized schedule. Core Courses ... Data Wrangling and Web Scraping, * Data Internships Preparation for Social Impact * Exploring ...

Discovering and exploiting new, untapped data sources through creative scraping techniques ... Online assessment : Motivational questionnaire and aptitude test - are you made for the job?

$39K - $49K/yr

Develop and maintain web scraping scripts to collect data from various online sources * Clean, organize, and process structured and unstructured datasets (e.g., text and images) * Apply machine ...

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Online Data Scraping information

What is the salary of web scraper?

The salary of a web scraper varies depending on experience, location, and whether they work as freelancers or for a company. On average, web scrapers earn between $40,000 and $70,000 annually, with skilled professionals using tools like Python and BeautifulSoup often earning higher wages. Entry-level positions may start lower, while experienced data extraction specialists can earn more with advanced skills.

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

AspectOnline Data ScrapingData Analyst
Primary RoleExtracting data from websites and online sourcesInterpreting and analyzing data to support business decisions
Skills RequiredWeb scraping tools, programming (Python, JavaScript), data collection techniquesStatistical analysis, data visualization, SQL, Excel
Work EnvironmentTechnical, often remote, focused on data extraction tasksOffice or remote, focused on data interpretation and reporting
Common Industry UsageWeb development, market research, data collection servicesBusiness intelligence, finance, marketing, consulting

Online Data Scraping involves extracting data from websites using technical tools, while Data Analysts focus on interpreting and analyzing data to inform business strategies. Both roles require analytical skills but differ in their core functions and work environments.

Is data scraping a job?

Data scraping is a legitimate job that involves extracting information from websites using tools like Python, BeautifulSoup, or Scrapy. Professionals in this field often work as data analysts or web scrapers, requiring skills in programming, data management, and understanding of website structures.

Will AI replace web scraping?

AI can automate and enhance web scraping tasks by improving data extraction accuracy and handling complex websites. However, human oversight remains important for managing ethical considerations, adapting to website changes, and ensuring data quality, so AI is more likely to augment rather than fully replace web scraping jobs. Skills in programming, data analysis, and familiarity with scraping tools are valuable in this field.

Is web scraping illegal in the US?

Web scraping as a job involves extracting data from websites, and its legality in the US depends on factors such as website terms of service and whether the data is copyrighted or protected. While scraping itself is not inherently illegal, violating website policies or accessing data without permission can lead to legal issues. Professionals in this field should understand intellectual property laws and use ethical scraping practices to stay compliant.
More about Online Data Scraping jobs
What cities are hiring for Online Data Scraping jobs? Cities with the most Online Data Scraping job openings:
What are the most commonly searched types of Data Scraping jobs? The most popular types of Data Scraping jobs are:
What states have the most Online Data Scraping jobs? States with the most job openings for Online Data Scraping jobs include:
Infographic showing various Online Data Scraping job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Web Scraping Specialist

Wynd Labs

New York, NY

$102K - $103K/yr

Full-time

Re-posted 29 days ago


Job description

Web Scraping Specialist

$70k – $140k

Who We Are.

Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.

Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.

In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).

This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

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 at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
  • Culture. We're a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
  • Compensation. You'll receive a competitive salary and equity package.