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Scraping Jobs in Ontario (NOW HIRING)

Painting Canada Inc.

Epoxy Floors Painter

Hamilton, ON · On-site

$23 - $28/hr

Prepare surfaces for coating, including proper cleaning, scraping, and sanding * Apply finishes using brushes, rollers, or sprayers * Maintain cleanliness of work area and ensure all equipment is ...

Student Works Thomas

Painter

Guelph, ON · On-site

Sanding, scraping, caulking, and masking to ensure a flawless finish. * Painting & Staining: Applying professional finishes to interior walls, exterior siding, decks, and fences. * Ladder Work:

AutoTrader.ca

Junior Business Analyst

Toronto, ON · On-site

Establish data pipelines through web scraping. * Process Big Data to provide analytical insight. * Collaborating with other teams as needed to create solutions to streamline processes. Requirements ...

GFL Environmental

Industrial Labourer

Sudbury, ON

Shoveling, Jack Hammering, Squeegee, Scraping and heavy lifting as required. * Operate Pick-up truck, utility trailer, forklift, excavator, bobcat, etc. * Operate Aerial boom lift/Scissor lift as ...

Sienna Senior Living

Kitchen Assistant

Oshawa, ON

CA$18.08/hr

... scraping, washing, stacking and storage of dishes • Practicing and maintaining established standards for cleanliness and sanitation throughout all aspects of food preparation and service as ...

Sienna Senior Living

Kitchen Assistant

Oshawa, ON

CA$18.08/hr

... scraping, washing, stacking and storage of dishes • Practicing and maintaining established standards for cleanliness and sanitation throughout all aspects of food preparation and service as ...

Peoples Group

Senior RPA Engineer

Toronto, ON

Prioritize API-first integrations and robust exception handling over fragile UI scraping. * * Author comprehensive Solution Design Documents (SDDs) incorporating SLAs and operational metrics * Drive ...

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All JobsScraping JobsScraping Jobs in Ontario

Scraping information

See Ontario salary details

$30K

$70.1K

$145.5K

How much do scraping jobs pay per year?

As of Jul 31, 2026, the average yearly pay for scraping in Ontario is $70,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $78,000.00 per year, depending on experience, location, and employer.

Does scraping make money?

Scraping as a job involves extracting data from websites, which can be profitable if the data is valuable and sold or used for business insights. Successful scrapers often require technical skills in programming and data handling. Earnings depend on the industry, data demand, and the legality of the scraping activities.

What is job scraping?

Job scraping is the process of automatically extracting job listing data from websites using tools like web crawlers or scripts. It requires knowledge of programming languages such as Python and familiarity with web structures and APIs. This technique is often used for market analysis, aggregating job postings, or competitive intelligence.

What is the difference between Scraping vs Data Analyst?

AspectScrapingData Analyst
Required CredentialsBasic programming skills, knowledge of web technologiesDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentPrimarily technical, focused on coding and data extractionBusiness or corporate setting, analyzing data for insights
Employer & Industry UsageUsed across tech, marketing, research industries for data collectionUsed in finance, marketing, healthcare for data interpretation
Search & Comparison IntentUnderstanding data extraction methods, tools, and techniquesInterpreting data, generating reports, making data-driven decisions

While both roles involve working with data, Scraping focuses on extracting data from websites using programming skills, whereas Data Analysts interpret and analyze data to support business decisions. Scraping is more technical and coding-oriented, while Data Analysts require analytical and statistical expertise.

What is a scraping job description?

A scraping job involves writing scripts or using tools to extract data from websites or online sources. It requires knowledge of programming languages like Python or JavaScript, and understanding of web structures and APIs to automate data collection efficiently.

Is job scraping legal?

Job scraping involves extracting data from websites, which can be legal if done in compliance with the site's terms of service and applicable laws. However, unauthorized scraping that violates copyright, data privacy, or usage policies may lead to legal consequences. It is important for professionals in this field to understand legal boundaries and use ethical scraping practices, such as respecting robots.txt files and avoiding excessive server requests.
What are popular job titles related to Scraping jobs in Ontario? For Scraping jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Scraping jobs in Ontario look for? The top searched job categories for Scraping jobs in Ontario are:
Scraping jobs near you
Infographic showing various Scraping job openings in Ontario as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,079 per year, or $33.7 per hour.

Sr. Machine Learning Engineer, Content Shopping

Pinterest

Toronto, ON • Remote

Other

Re-posted 8 days ago

Job description

With more than 535 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,500 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
The Content Shopping Mining ML team builds machine learning systems that understand shopping-related content across the web, turning unstructured merchant pages into high-quality structured product data like price, title, availability, and images. This helps improve product experiences on Pinterest, including content quality, distribution, recommendations, and search; for example, see the team's KDD 2025 paper, Cross-Domain Web Information Extraction https://arxiv.org/pdf/2508.01096.

What you'll do:

  • Identify and evaluate high-value content sources for Pinterest including websites, merchants, and social media accounts
  • Help build scalable systems to acquire that content and extract structured attributes from it.
  • Partner closely with cross-functional teams across Pinterest to improve content quality and power better user experiences, such as reducing low-quality content and improving search relevance.
  • Train, fine-tune, and distill language models to better understand webpages and deploy those models in production at scale.
  • Design and build systems for managing large-scale datasets, improving data quality, and automating model iteration and improvement.
  • Use modern agentic coding tools to accelerate development, experimentation, and operational efficiency.

What we're looking for:

  • 5+ years of industry experience applying machine learning to real-world problems, such as search, ranking, recommender systems, natural language processing, personalization, reinforcement learning, or graph representation learning.
  • Hands-on experience training, evaluating, and deploying language models in production environments.
  • Strong problem-solving skills, with the ability to work autonomously, think creatively, and drive ambiguous projects forward.
  • Experience or strong interest in web crawling, web scraping, and large-scale content acquisition.

Nice to have:

  • M.S. or Ph.D. in Machine Learning, Computer Science, or a related technical field.
  • Publications in top-tier machine learning conferences.
  • Passion for applied machine learning and for building products that improve the Pinterest experience.
  • Experience with web crawling, web scraping, search, recommendation systems, or content understanding pipelines.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

Relocation Statement:

  •  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

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