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511 Remote Scrapy developers and experts available to hire:

Scrapy expert - Steve P.
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Steve P.

Vetted Scrapy developer in the United States (UTC-4)

I have more than 10 years experience in Full-Stack API and Software Engineering \* Python applications, primarily data extraction with scrapy \- Regular reverse engineering of undocumented public APIs to extract job data \- solo effort to design, architect, and develop a large (~2000 lines) library for flexible and efficient web scraping \- saved employer over $150k/yr \- specced and scratch-built a reporting API and dashboard WebUI. \* Have personally solo designed and developed multiple APIs from the ground up \* Contributed to multiple other projects throughout my time as a developer technologies: Python, scrapy, javascript, node.js, express.js, PostgreSQL, jQuery, angular, react, many others tools: selenium, docker, docker-compose, aws, azure, git, pm2, jira, bitbucket, many others I have expertise in building and maintaining scalable and efficient systems using a wide range of modern technologies, including Python, Node.js, React, Django, PostgreSQL, Docker, and dozens of others. I have a proven track record of leading, designing, and developing complex software solution initiatives, migrating legacy systems, and building cloud-based microservices in both enterprise and web-based environments, while maintaining a focus on clean, scalable, maintainable code and high availability. I am comfortable with Agile methodologies and working in collaborative, high-performance environments. I am seeking a remote software engineering position to apply my skills, experience, and drive to build excellent things as part of an excellent team

Scrapy consultant - Ibrahim A.
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Ibrahim A.

Vetted Scrapy developer in Nigeria (UTC+1)

Python geek with a strong background in data extraction, automation, processing and storing, with high level expertise in web scraping, utilizing various tech stacks with Python and JavaScript, and cloud resources to effectively design systems, allocate and scale resources as needed. Also at my disposal is machine learning and large language model expertise allowing me to build robust data solutions

Scrapy developer - Julian D.
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Julian D.

Vetted Scrapy developer in Colombia (UTC-5)

Data Scientist with more than 8 years of experience, which include 5 years working remotely with international ditributed teams. I have excellent English communication skills ( C2 ) and my experience of different industries, that cover healthcare, retail, technology, finance, energy and logistics, provide me with transversal approaches for solving AI and Data related problems efficiently and effectively.

Scrapy engineer - Juan J.
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Juan J.

Vetted Scrapy developer in the United Kingdom

Creative Senior Software Engineer with over 8 years of experience developing scalable data-driven applications. Expertise in building teams, automating processes, and providing enterprise-class solutions in cloud-native environments. Love to build effective, secure, and resilient systems.

Scrapy architect - Manimaran P.
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Manimaran P.

Vetted Scrapy developer in India (UTC+6)

A passionate Software Engineer/Data Scientist working on unstructured data to deliver business value, focusing on NLP and Computer vision. I always like to do things hands-on.

Scrapy consultant - koh N.
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koh N.

Vetted Scrapy developer in Singapore (UTC+2)

Hi there! I am a Data scientist/ AI engineer with 6 years of experience in natural language processing, big data and Gen AI. ➕My value add to Dun and Bradstreet: Spearheaded and deployed end to end machine learning and AI projects in the Adtech domain generating 1M-6M in revenue on both AWS and Google Cloud Platform. 💻Deployed GenAI project using LLM with Retrieval Automated Generation (RAG) for generating audience segment recommendations on Google Cloud. ✍️Designed system architecture and processed big data (few TB) daily using pyspark and snowflake. Launched demographic precision segments product increasing access to high quality demographic data. Credentials🎓: Graduated from Georgia Institute of Technology with a Masters in Analytics, certified Google Machine Learning Engineer

Scrapy engineer - Franco S.
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Franco S.

Vetted Scrapy developer in Argentina (UTC-3)

I am an Software Engineer with experience in data engineering and machine learning, specialized in NLP. I have expertise in shipping solutions to real-world problems (founder experience) and excel in technically complex projects where pushing the boundaries of what’s possible and practical with AI is essential. I also bring a strong background in building scalable data systems and integrating efficient data processes.

Scrapy expert - Sajid M.
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Sajid M.

Vetted Scrapy developer in India (UTC+6)

I am a skilled AI Engineer with experience in developing cricket stat search engines, fantasy sports recommendation systems, and automated content generation pipelines. I have also worked as a Data Scientist, focusing on automatic speech recognition systems and social media analytics. Additionally, I have experience as a Systems Engineer, designing ETL pipelines and chat-bots for recommendation systems. I hold a Master of Science degree in Machine Learning and Artificial Intelligence.

Scrapy developer - Rodrigo W.
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Rodrigo W.

Vetted Scrapy developer in Brazil (UTC-3)

Data Engineer with 5+ years of experience in Python, Scala, and SQL. Proven ability to design and implement data pipelines for real-time analytics, with a focus on deploying machine learning projects using technologies such as Python, TensorFlow, and Pandas. Expertise in technologies like MS SQL Server, Databricks, Snowflake, and PostgreSQL. Experience in utilizing APIs and use of ML to improve the decision-making processes within Financial, Telecommunications, industrial, Adtech, and Edtech sectors. Demonstrated capacity to operate in medium and high-criticality environments, driving projects that significantly improve operational efficiency and intelligence.

Scrapy consultant - Pranav P.
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Pranav P.

Vetted Scrapy developer in India (UTC+6)

I have a strong background in AI, GenAI, and ML, I believe I can bring valuable expertise to your team. Over the years, I've worked on some cutting-edge AI projects that I'm quite excited about. At Motive, I built an end-to-end facial recognition system that could identify drivers with more than 85% accuracy, handling over 1 lakh predictions daily. I also developed multi-task deep learning models for object detection and tracking, which we deployed on more than 10 lakh edge devices. I've got hands-on experience with the latest in GenAI too. At Stybe, I leveraged Large Language Models (LLMs) to create a personalized search experience for our fashion app. We used vector databases like Qdrant for semantic search, achieving over 90% accuracy in product matching. My technical toolkit includes Python, PyTorch, and TensorFlow, and I'm well-versed in cloud platforms like AWS. I've worked extensively with GPT models, BERT, and T5, and I'm comfortable with prompt engineering and frameworks like LangChain. I've applied ML to solve real-world problems. At Wipro, I developed a COVID-19 detection app using audio analysis, achieving an F1 score of 0.89. I've also worked on innovative projects like using GANs for document denoising and implementing one-shot learning for symbol recognition in engineering drawings. I'm really passionate about pushing the boundaries of what's possible with AI and ML. I'd be thrilled to bring this expertise to your team and contribute to developing next-generation AI solutions. I'm looking forward to the possibility of discussing how my skills can contribute to your AI initiatives.

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Why clients hire Scrapy developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Scrapy developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Scrapy developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Scrapy developers can help keep your website up-to-date.

How do I hire Scrapy developers?

To hire a Scrapy developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Scrapy developers effectively and efficiently. Hire full-time Scrapy developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Scrapy developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Scrapy developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Scrapy developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Scrapy developers?

There are two types of platforms you can hire Scrapy developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Scrapy developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Scrapy developers, consider niche platforms like Arc that naturally attract and carefully vet their Scrapy developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Scrapy developers.

Some factors to consider when you hire Scrapy developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Scrapy developers for hire.

How do I write a Scrapy developer job description?

Writing a good Scrapy developer job description is crucial in helping you hire Scrapy developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Scrapy developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Scrapy developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Scrapy developer?

The top five technical skills Scrapy developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Scrapy developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Scrapy developers to keep up with evolving technology and requirements.

What kinds of Scrapy developers are available for hire through Arc?

You can find a variety of Scrapy developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Scrapy developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Scrapy developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Scrapy developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Scrapy developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Scrapy developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Scrapy developers.

Every Scrapy developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Scrapy developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Scrapy developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Scrapy developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Scrapy developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Scrapy developers, you can rest assured that all remote Scrapy developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Scrapy developers on Arc?

Arc pre-screens all of our remote Scrapy developers before we present them to you. As such, all the remote Scrapy developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Scrapy developer in 72 hours, or find a full-time Scrapy developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Scrapy developers.

How much does a freelance Scrapy developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Scrapy developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Scrapy developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Scrapy developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Scrapy developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Scrapy developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Scrapy developers, check out our FAQs page.

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