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Hire Scrapy Developers and Engineers

Jagdish Parmar, Scrapy Developer

A seasoned Python Automation Engineer with expertise in web scraping, automation scripting, and data analysis. Demonstrated experience with Upwork, some more companies in my resume. entailed providing robust automation solutions, improving data collection processes, and enhancing analytical capabilities. Proficient in Python programming, using tools such as BeautifulSoup, Scrapy, Selenium, and skilled in database management with MongoDB and Cassandra. Technical acumen in API integration complements a strong foundation in software development practices. This engineer’s skill set, combined with practical experience, positions them favorably for roles requiring efficient data handling and process automation.I can complete 1 small project for free to showcase my skills.

Scrapy

Scrapy

QA Automation

QA Automation

Python

Python

Data Scraping

Data Scraping

Data Analysis

Data Analysis

Atlassian Confluence

Atlassian Confluence

Mohamed K., Scrapy Developer

- 12+ years of experience in IT - 10+ years of experience with XSLT - Writing, testing and maintaining the XSLT code that applies some filtration and conditions on XML - Converting IATA NDC Standard XML Content format into IATA NDC Standard XML format using XSLT - Familiar with many processing engines like Saxon (Java) - libxslt (C) - Python’s package - Upper-intermediate English - Available ASAP

Scrapy

Scrapy

Python

Python

XML

XML

XSLT

XSLT   10 yr.

Henry A., Scrapy Developer

- 8+ years with Python (CI/CD principles, Data Validation, Data QA - experience with various data sets (ETL, Data Engineer, Data Quality) Engineer). Extensive experience with Spark and Hadoop, Databkicks - Master Data Management (MDM) with Reltio (configuration, workflows, connector) - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 5 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP) including Data Analytics/Engineering services, Kubernetes (K8s) - 5 years of experience with PowerBI and 4 years of experience with Tableau and other visualization tools like Spotfire and Sisense; - 3+ years of experience with AI/ML projects, background with TensorFlow, Scikit-learn and PyTorch; - Pet web3 projects (solidity, wallet integration); - Upper-intermediate English, comfortable with North American timezone (4hour+ overlap)

Scrapy

Scrapy

Python

Python   9 yr.

Data Analysis

Data Analysis   6 yr.

SQL

SQL   6 yr.

Microsoft Power BI

Microsoft Power BI   5 yr.

NoSQL

NoSQL   5 yr.

Cláudio L., Scrapy Developer

- Сommerce experience with Asciidoc since 2016, wrote a book using this tool - Github: https://github.com/Patola - English: Fluent - Portuguese: native language. - Spanish: intermediate - French: intermediate

Scrapy

Scrapy

Asciidoc

Asciidoc   6 yr.

Linux

Linux

Unix

Unix

Nickson M., Scrapy Developer

- 6 years of experience in IT - 5 years of experience with Golang - 6 years of experience with Python - Fluent English - Available ASAP

Scrapy

Scrapy

Python

Python   6 yr.

Go

Go   5 yr.

Hassan, Scrapy Developer

- Software Engineer with excellent problem-solving and debugging skills, eager to demonstrate a unique range of skills, commitment, and dedication to developing world-class software solutions - Upper-Intermediate English

Scrapy

Scrapy

Django

Django

Python

Python

Andrey O, BI / Data Analyst with Scrapy, Python, Flask, Go, .NET

Andrey O, Scrapy Developer

$20/hr, $3500/month

• Experience in BI (large UK bank & Amazon FBI) • background in data scrapping, analyzing, and transforming raw data into accurate and meaningful structure • Data models & dashboards

Scrapy

Scrapy

Python

Python

Flask

Flask

Go

Go

.NET

.NET

Andrey O, BI / Data Analyst with Scrapy, Python, Go, .NET

Andrey O, Scrapy Developer

$20/hr, $3500/month

• Experience in BI (large UK bank & Amazon FBI) • background in data scrapping, analyzing, and transforming raw data into accurate and meaningful structure • Data models & dashboards

Scrapy

Scrapy

Python

Python

Go

Go

.NET

.NET

Vlad, Experienced Python Engineer with Scrapy, Django

Vlad, Scrapy Developer

- 3+ years of professional experience in Python development - Upper-intermediate English - Native Russian - Available ASAP

Scrapy

Scrapy

Django

Django

Vadim H., Go Engineer with Scrapy, Go, Python

Vadim H., Scrapy Developer

$35/hr

- Python and Go with 5 years of experience in IT industry. - Good knowledge in Full Stack developing. - Intermediate English - Available ASAP

Scrapy

Scrapy

Go

Go

Python

Python

Sridhar R., Senior Upstaff Engineer with Scrapy, Python, Django

Sridhar R., Scrapy Developer

- 5 years of experience as a Python Developer, proficient coder in multiple languages and environments including Python, C#, REST Api, SQL - Experience in writing Subqueries, Stored Procedures, Triggers, Cursors, and Functions on MySQL and SqlServer databases. - Experienced in web applications development using Django and Flask using HTML/CSS for server-side rendered applications. - Intermediate English - Available ASAP

Scrapy

Scrapy

Python

Python

Django

Django

Yauheni S., Python Software Engineer with Scrapy, Python

Yauheni S., Scrapy Developer

- Experienced Python Engineer with 6 years of experience, and background in various data processing technologies. - Skilled in working with technologies such as Airflow, Papermill, Pandas, Pydantic, and Asyncio. - Experienced utilizing Amazon Web Services such as ECS, EC2, Lambda, RDS, SSM, S3, Batch, Athena, Glue, DMS, SQS, SMS, ECR, Cloudwatch - Proficient in designing and implementing ETL pipelines for data extraction, transformation, and loading. - Has experience with big data (at the level of tens of gigabytes in Athena) - Strong knowledge of database systems, including PostgreSQL, Redis, Athena, and DynamoDB. - Advanced English

Scrapy

Scrapy

Python

Python

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Welcome on Upstaff: The best site to hire Scrapy Developer

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Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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FAQs on Scrapy Development

What is a Scrapy Developer? Arrow

A Scrapy Developer is a specialist in the Scrapy framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Scrapy Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Scrapy Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Scrapy Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Scrapy, then hiring a Scrapy Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Scrapy Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Scrapy Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Scrapy Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Scrapy Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Scrapy Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Scrapy Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Scrapy Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Scrapy used?

How and where
  • Data Extraction: Scraping product prices
  • Content Aggregation: Combining news articles
  • Market Research: Analyzing competitor websites
  • Job Posting: Scraping job listings
  • Social Media Monitoring: Tracking mentions
  • SEO Analysis: Extracting keyword data
  • Real Estate Listings: Gathering property information
  • Academic Research: Collecting data for studies
  • Travel Planning: Scraping flight prices
  • Weather Data Collection: Extracting weather forecasts

Compare Junior, Middle, Senior, and Expert/Team Lead Scrapy Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Basic web scraping
  • Data extraction
  • Simple script writing
$50,000
Middle3-5 years
  • Advanced scraping techniques
  • Data parsing
  • Script optimization
$70,000
Senior6-8 years
  • Complex data aggregation
  • Algorithm development
  • Team mentoring
$90,000
Expert/Team Lead9+ years
  • Architecting scraping solutions
  • Project management
  • Leadership and strategy
$120,000

Quick Facts about Scrapy.

Facts about
  • Scrapy, a web crawling framework, was born in 2008.
  • It is widely used in data mining and web scraping projects.
  • The entry barrier to using Scrapy is relatively low.
  • Beautiful Soup is a popular tool often used alongside Scrapy.
  • Scrapy’s name is inspired by Scavenger Hunt game.

TOP Scrapy Related Technologies

Related Technologies
  1. Scrapy (John, 2008)
  2. Splash (Scrapinghub, 2013)
  3. Beautiful Soup (Leonard Richardson, 2004)
  4. Selenium (ThoughtWorks, 2004)
  5. Requests (Kenneth Reitz, 2012)

What are top Scrapy instruments and tools?

Instruments and tools
  • Scrapy Cloud: A tool by Scrapinghub for managing web scraping jobs in the cloud.
  • Portia: A visual web scraping tool by Scrapinghub, released in 2016.
  • ScrapyRT: Released in 2015, it’s a Scrapy web API tool by Scrapy.

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