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Scraping Jobs in New York (NOW HIRING)

Clera

Forward Deployed Engineer

New York, NY · Remote

$140K - $160K/yr

Manage and mentor scraping engineers who build and maintain data pipelines on behalf of customers. * Translate frontline customer context into actionable product feedback and roadmap input for the ...

Clera

Forward Deployed Engineer

New York, NY · On-site

$140K - $160K/yr

Manage and mentor scraping engineers who build and maintain data pipelines on behalf of customers. * Translate frontline customer context into actionable product feedback and roadmap input for the ...

Understood

Senior Research Manager - Product & AI

New York, NY · Hybrid

$138K - $182K/yr

Own the "always-on" scraping and updating of product landscapes to ensure Understood remains ahead of market trends * Design and maintain AI bots (e.g. Gemini GEMs) to create automated data pipelines ...

Understood

Senior Research Manager - Product & AI

New York, NY · On-site

$138K - $182K/yr

Own the "always-on" scraping and updating of product landscapes to ensure Understood remains ahead of market trends * Design and maintain AI bots (e.g. Gemini GEMs) to create automated data pipelines ...

TiltEdge Solutions LLC

Painter

East Orange, NJ · On-site

Cleaning, scraping, sanding, or removing old paint and wallpaper to create a smooth surface for new paint. * Filling cracks, holes, and joints with putty, caulk, or other fillers. * Applying primers ...

TiltEdge Solutions LLC

Porter

Bronx, NY · On-site

Cleaning, scraping, sanding, or removing old paint and wallpaper to create a smooth surface for new paint. * Filling cracks, holes, and joints with putty, caulk, or other fillers. * Applying primers ...

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All JobsScraping JobsScraping Jobs in New York

Scraping information

See New York salary details

$32.8K

$76.6K

$159.1K

How much do scraping jobs pay per year?

As of Aug 27, 2026, the average yearly pay for scraping in New York is $76,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,743.00 and $85,275.00 per year, depending on experience, location, and employer.

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 job scraping?

Job scraping involves using automated tools or scripts to collect job postings and related data from websites. It requires knowledge of programming languages like Python and familiarity with web scraping libraries such as BeautifulSoup or Scrapy, often to analyze market trends or compile job listings efficiently.

What are popular job titles related to Scraping jobs in New York?

For Scraping jobs in New York, the most frequently searched job titles are:

What job categories do people searching Scraping jobs in New York look for?

The top searched job categories for Scraping jobs in New York are:

What cities in New York are hiring for Scraping jobs?

Cities in New York with the most Scraping job openings:

Scraping jobs near you
Infographic showing various Scraping job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $76,615 per year, or $36.8 per hour.

Freelance Data Scraping Engineer (Python)

New York, NY • On-site, Remote

Mindrift
See more jobs at Mindriftexternal

$37/hr

Part-time

Re-posted 16 days ago

Job description

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.
Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.
In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.
What We Do
The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.
About the Role
This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.
Key Responsibilities
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications
  • At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience
Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
Technical Skills (Essential)
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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