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Internship Web Data Scraping Jobs (NOW HIRING)

Data Crawling - Consultant

Oregon, WI · On-site

$90 - $130/hr

To Have * 1+ year of experience in Web Crawling, Data Scraping, Product Matching, Data Extraction, or similar roles. * Strong proficiency in Python for web scraping and automation. * Hands‑on ...

Research Crawling Engineer

London, KY · On-site

$150 - $225/hr

As a Research Crawling Engineer, you will design and operate large‑scale web data acquisition systems for research and model development. Your work will span distributed systems, scraping ...

Founding Engineer

New York, NY · Remote

$170K - $220K/yr

Experience with web scraping, data extraction, or web automation at scale is a strong plus. * Bias toward action, high ownership, and genuine excitement about early-stage startup pace and autonomy.

Founding Engineer

New York, NY · On-site

$170K - $220K/yr

Experience with web scraping, data extraction, or web automation at scale is a strong plus. * Bias toward action, high ownership, and genuine excitement about early-stage startup pace and autonomy.

$276K - $289K/yr

... data scraping, automated scams, and other AI-driven web threats. Turn R&D into Consumer-Ready Products: * Partner deeply with Advanced R&D, threat research, data science, and engineering teams to ...

... data scraping. • Strong eye for UX or interest in generative AI. • Previous early-stage startup or founder experience. Company : Terrakotta is a web phone that allows users to communicate with ...

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Internship Web Data Scraping information

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How much do internship web data scraping jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship web data scraping in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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

AspectInternship Web Data ScrapingData Analyst Intern
Required SkillsBasic programming, web scraping tools, HTML/CSSData analysis, Excel, SQL, statistical knowledge
Work EnvironmentTech-focused, data collection projectsData interpretation, reporting, business insights
Industry UsageWeb development, data collection companiesFinance, marketing, consulting firms

Internship Web Data Scraping focuses on extracting data from websites using programming and scraping tools, while Data Analyst Interns analyze and interpret data to support business decisions. Both roles require some technical skills but differ in their primary tasks and industry applications.

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What cities are hiring for Internship Web Data Scraping jobs?

Cities with the most Internship Web Data Scraping job openings:

What are the most commonly searched types of Web Data Scraping jobs?

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What states have the most Internship Web Data Scraping jobs?

States with the most job openings for Internship Web Data Scraping jobs include:

Infographic showing various Internship Web Data Scraping job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Data Crawling - Consultant

Rubick

Oregon, WI • On-site

$90 - $130/hr

Other

Posted 19 days ago


Job description

You will be responsible for building and maintaining Rubick's data acquisition engine by extracting, validating, and structuring product information from eCommerce websites and marketplaces. This role focuses on developing scalable web crawling solutions that power Product Discovery, Search, Catalog Intelligence, and Market Intelligence platforms.

The role involves three areas: Part 1: The Fundamentals | Part 2: AI-Driven Data Crawling Excellence | Part 3: Innovation & Improvements

Part 1: The Fundamentals
  • Develop, maintain, and optimize web crawlers to extract product data from eCommerce websites and marketplaces.
  • Collect structured and unstructured product information, including product details, pricing, images, specifications, and availability.
  • Clean, validate, and organize extracted datasets to ensure accuracy and consistency.
  • Monitor crawler performance, identify failures, and resolve data extraction issues.
  • Collaborate with Product, Engineering, and Data teams to ensure reliable and timely data collection.
  • Maintain documentation for crawling processes, extraction rules, and data quality standards.
Part 2: AI-Driven Data Crawling Excellence
  • Leverage AI-powered extraction techniques to improve data accuracy and extraction efficiency.
  • Build intelligent crawling workflows using Python and modern web automation frameworks.
  • Implement automated data validation and monitoring systems to maintain high-quality datasets.
  • Collaborate with AI and Data Engineering teams to support Machine Learning models and Product Intelligence systems.
  • Continuously optimize crawling performance for speed, scalability, and reliability.
  • Identify opportunities to automate repetitive extraction and validation workflows.
  • Improve data collection strategies by adopting new crawling technologies and AI-assisted solutions.
  • Build reusable crawling frameworks and standardized extraction pipelines.
  • Contribute to knowledge repositories, documentation, and process improvements across the data acquisition function.
To Have
  • 1+ year of experience in Web Crawling, Data Scraping, Product Matching, Data Extraction, or similar roles.
  • Strong proficiency in Python for web scraping and automation.
  • Hands‑on experience with BeautifulSoup, Scrapy, Selenium, Playwright, or similar frameworks.
  • Good understanding of HTML, CSS, XPath, JSON, and DOM structures.
  • Strong analytical and problem‑solving skills.
  • Ability to work with large datasets while maintaining high data quality.
  • Experience in eCommerce, Retail, Marketplace Operations, or Catalog Management is preferred.
  • Exposure to AI-assisted data extraction, Product Intelligence, or Machine Learning data pipelines is a strong advantage.
About Rubick : Company Overview

Rubick OS is a leading platform for brands and marketplaces, enabling seamless management of catalog automation, pricing and competitive intelligence, product listing intelligence, CAST systems, and brand and assortment intelligence.

Our solutions are used across five countries by major brands and marketplaces, including Amazon, Myntra, Reliance Group, Nykaa, Flipkart, Rare Rabbit, Decathlon, Celio, The Bay, Kiabi, Myer, Jumbo, and many more.

Work Model

Work from home - Monday to Saturday

Team Size

250+ Employees

Investors

Invested by Innospark US, Betatron Hong Kong, MJV India, 1Crowd India , and other investors.

Rubick.ai is a place to work if you want to build something foundational rather than incremental—it’s aiming to become the AI operating layer for ecommerce, solving complex, real-world problems across cataloging, pricing, and marketplace operations at scale.

You get high ownership, direct impact, and exposure to various parts of the business, making you an entrepreneur in-house. Rubick operates in the AI segment, which means you will be at the forefront of the technological revolution.

Rubick is profitable and growing and is looking to work with 10,000 brands in the next 2-3 years .

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