Hire Scrapy developers

Extract web data quickly and efficiently. Skilled Scrapy developers automate your web scraping needs—onboard in as little as a few days.

José
Site Reliability Engineer
Spain/(GMT +1:00)
José Enrique is a DevOps/SRE engineer who builds Kubernetes platforms on AWS and Azure with Terraform, Helm, and GitHub Actions. Recently he ran production infrastructure for a data platform used in Formula 1, automotive, aerospace, and clean energy testing, adding SLOs, error budgets, GitOps, and stronger incident response.
Experience
15 years
Availability
Part-time & Full-time
ScrapyKubernetesTerraformAnsiblePythonMicrosoft AzureGitHub ActionsHelmCI/CDAWSMongoDBElasticSearchDockerInfluxDBGruntDjangoPHPBashMySQLJavaScriptGolangDevOpsLinuxBare metal provisioning
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Bruno
Data Engineer
Brazil/(GMT -3:00)
Bruno is a data engineer working in Python, SQL, Airflow, Spark, and Snowflake who grew into leading a big data team at a retail pricing startup. He rebuilt pipelines and storage around ClickHouse and Spark, cutting one pipeline from 12 hours to 3 to 4 while handling triple the data volume.
Experience
9 years
Availability
Full-time
ScrapyAWSApache SparkPythonTableauApache AirflowPostgreSQLClickHouseSnowflakeApollo GraphQLKafkaLiquibaseSQLPySparkGCPBigQueryBitbucketAirflowAmazon EC2Data Warehouse
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Denis
Full-stack Web Developer
Kenya/(GMT +3:00)
Denis is a backend-leaning full-stack engineer working in Python, FastAPI, Django and React. He recently shipped two farm-data platforms end to end on his own, including GHG data processing with API integrations and reporting, and earlier led a 6-person team while also building a Flutter mobile app.
Experience
9 years
Availability
Full-time
PythonReactAWSSQLDjango RESTDjangoJavaScriptNode.jsGCPFastAPIRedisDocker ComposeDockerPyramidPostgreSQLPostGISMySQL
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Jomari
Back-end Web Developer
Philippines/(GMT +8:00)
Jomari is a Python and Django backend engineer who improves data-heavy systems: he moved legacy financial data feeds into a unified pipeline, lifting match accuracy by 60%, and cut API latency by 80% on an automotive analytics platform. He also built a box-sizing service for an ecommerce operation projected to save about $1M a year.
Experience
11 years
Availability
Full-time
ScrapyPythonDjangoAWSDjango RESTReactNode.jsFastAPIFlaskShopifyMySQLPostgreSQLDockerPandasTypescript
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Serhiy
Back-end Web Developer
Poland/(GMT +1:00)
Serhiy is a Python and Django backend engineer who has spent 15 years building data-heavy web systems, including an affiliate platform with Kafka and ClickHouse for near real-time click and sales processing. He also designed a reporting DSL, billing, and an NLP-based product suggestion system.
Experience
15 years
Availability
Part-time
ScrapyPythonDjangoReactElasticSearchRedisApache KafkaScalaGolangPHPMySQLLinuxJavaScriptApachePostgreSQLRabbitMQCI/CDKafkaAngularAnsibleWeb scrapingOpenAIVector Databases
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jorge
Back-end Web Developer
Mexico/(GMT -6:00)
Jorge is a Node.js and TypeScript backend engineer who builds event-driven microservices on Azure Service Bus and AKS. Recently he improved a healthcare claims platform with smaller Azure Functions, feature-flagged third-party integrations for safer rollbacks, and stronger search with Elasticsearch.
Experience
11 years
Availability
Full-time
Node.jsTypescriptReactAWSExpress.jsReduxAngularReact NativeJavaScriptAINest.jsStorybookAzure FunctionsAI-assisted codingNext.js
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Volodymyr
Back-end Web Developer
Portugal/(GMT)
Volodymyr is a strong senior back-end developer with 8 years of experience, specializing in Python, Flask, and FastAPI. He has successfully led system migrations, developed scalable web scraping solutions, and contributed to large-scale automotive and telecommunications projects. With hands-on expertise in AI integration for document analysis and chatbots, and experience collaborating directly with international clients, Volodymyr is a reliable and highly skilled back-end engineer, ready to deliver robust solutions for complex projects.
Experience
9 years
Availability
To be verified
ScrapyPythonFlaskDjangoAWSFastAPIWeb scrapingJenkinsSeleniumGitHub ActionsAWS LambdaLambdaUnit testingGitHub CopilotClaude CodeAmazon EC2RAGOpenAI API
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Larry
Back-end Web Developer
United States/(GMT -6:00)
Larry is a Go and Kubernetes engineer who builds cluster infrastructure and distributed systems. Recently he added zero-downtime certificate rotation, airgap-safe connectivity checks, and automated etcd recovery for a Kubernetes platform; earlier he built a write-ahead log from scratch for a decentralized network and an EVM bridge for smart contracts.
Experience
Availability
Full-time
TerraformGolangKubernetesPythonSmart contractsReactJava EEJavaJavaScriptJUnitHibernateDistributed SystemsBlockchainGitLab CI/CDAI-assisted coding
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Sadig
Full-stack Web Developer
Germany/(GMT +1:00)
Sadig is a backend-leaning full-stack engineer working in Python, Node.js, and React, recently owning a lab operations platform end to end. There he sped up Python data processing by 30%, cut server usage by 20%, improved page loads by 35%, and reduced customer onboarding time by 45%.
Experience
Availability
Part-time
ScrapyPythonReactNode.jsAWSTypescriptCI/CDPandasJavaScriptSeleniumDockerUI/UXJoomlaFastAPIpytest
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Developers who got their wings at

How it works

How to hire a Scrapy developer in days, not months

Fill in a short form

Tell us about your Scrapy project, timeline and hours, then look through our vetted developers.

Take a 30-minute call

A Lemon.io matching expert goes over your needs and gives you a budget estimate.

Meet 1–3 candidates

You get 1–3 developer profiles, usually within 24 hours. Interview them the way you normally would.

Start working

Your developer joins your team part-time or full-time and works directly with you.

Hire Scrapy developer

Testimonials

Start to finish in under a week with zero wasted time

Reached out on Monday evening, connected Tuesday morning, had four qualified candidates by Wednesday.

Brian DeSpainCEO, 10X ERP

High quality, well-qualified developers

We had an excellent experience. Process is fast from the initial intake through setting up payment.

Katie RoyExecutive Director, The SPEND Initiative

7 developers hired in 24 hours

The developers helped us speed up. They quickly learned their part of the app and we’re grateful for their contribution.

Conor MackenDirector of Engineering, tvScientific

Lemon.io does the hiring work. You pick the Scrapy developer.

We vet every developer

Every Scrapy developer passes a live interview with a senior engineer. We accept 1.2% of applicants.

No juniors, 3+ years

We hand-pick your matches

A matching expert picks people by your stack, domain and time zone, and tells you why each one fits.

Human, not a filter

We handle the paperwork

We handle contracts, NDAs and invoices. You pay Lemon.io, and we pay your developer.

You own the IP

We stay after you hire

Your Lemon.io manager stays in touch with you both. If it doesn't work out, we find a replacement for free.

Free replacement

Hire Scrapy developer

The lemon tea

Scrapy developers for crawlers that keep running

Scrapers break when sites change, block bots or throttle traffic. Our Scrapy developers build crawlers with retries, rotating proxies and monitoring that tells you when data stops.

Polite, resilient crawling

Strong candidates respect robots and rate limits, handle retries and detect layout changes before bad data reaches you.

Scraping profiles

Search the open Lemon database for Scrapy with Selenium, Airflow or Django REST work and decide who to interview.

Maintenance hours

Scrapers need regular fixes, not a full-time hire. Book part-time and keep data flowing.

What you should know about modern Scrapy devs

by Nataliia Stasiuk

Recruiter at Lemon.io

Verified Expert

Hiring Guide: Scrapy Developers

Why Hire Scrapy Developers

Scrapy developers specialize in building robust, scalable, and high-performance web scraping and data extraction solutions. Scrapy is a powerful open-source Python framework that allows teams to collect, clean, and structure data from the web efficiently. Whether your business focuses on price monitoring, lead generation, sentiment analysis, or data aggregation, hiring skilled Scrapy developers ensures fast and reliable access to accurate information at scale.

What Scrapy Developers Do

A Scrapy developer designs and implements spiders and pipelines to crawl websites, extract structured data, and deliver it in usable formats such as JSON, CSV, or databases. They optimize crawlers to handle dynamic pages, manage proxies, bypass anti-bot systems, and maintain data accuracy. These developers often work with data engineers, analysts, and machine learning teams to create automated data feeds that power analytics, dashboards, or AI models.

Core Responsibilities of a Scrapy Developer

Design and build custom Scrapy spiders for structured and unstructured web data extraction.

Handle dynamic content using tools like Splash, Selenium, or Playwright.

Develop data cleaning, transformation, and validation pipelines.

Integrate Scrapy with cloud platforms or APIs for large-scale data delivery.

Set up proxy management, user agents, and request throttling to avoid IP bans.

Implement database storage for extracted data (PostgreSQL, MongoDB, or Elasticsearch).

Monitor and maintain crawler performance, ensuring reliability and scalability.

Essential Technical Skills

Core: Scrapy, Python 3.x, XPath, CSS selectors, and regular expressions.

Frameworks & Tools: Selenium, Splash, BeautifulSoup, Requests, Playwright.

Databases: PostgreSQL, MySQL, MongoDB, SQLite, Elasticsearch.

Data Formats: JSON, XML, CSV, Parquet.

Infrastructure: AWS, GCP, Azure, Docker, and Kubernetes.

Automation: Airflow, Celery, Cron jobs, or Scrapy Cloud (Zyte).

DevOps: CI/CD pipelines, API integration, and cloud deployments.

When to Hire Scrapy Developers

You need automated, scalable data scraping solutions for your business.

Your analytics or AI systems rely on consistent, structured external data feeds.

You need real-time data collection from eCommerce, social media, or competitor websites.

You’re developing an internal data aggregation or market intelligence platform.

You require secure, compliant, and proxy-based web crawling architecture.

Best Practices for Hiring Scrapy Developers

Check real-world scraping experience: Review projects that demonstrate handling of complex or dynamic websites.

Evaluate performance optimization skills: The developer should understand asynchronous requests, caching, and concurrency tuning.

Assess data pipeline design: Look for experience in integrating Scrapy with ETL or database systems.

Test anti-bot handling knowledge: Candidates should understand techniques like CAPTCHA bypass, user agent rotation, and proxy networks.

Ensure familiarity with compliance: Developers should know about ethical scraping practices and data regulations (GDPR, CCPA).

Sample Interview Questions for Scrapy Developers

“What is the architecture of a Scrapy project?”

“How do you handle websites with dynamic JavaScript content?”

“What strategies do you use to avoid being blocked by websites?”

“How would you design a Scrapy pipeline for continuous data updates?”

“Describe how you’d integrate Scrapy with cloud infrastructure or databases.”

“What are your preferred methods for validating and cleaning extracted data?”

Architecture & Optimization Tips

Leverage asynchronous requests to increase scraping throughput.

Use Scrapy middleware for proxy rotation and user agent management.

Deploy spiders on Scrapy Cloud or containerized environments for scalability.

Implement error logging and alerting for failed requests or structural changes.

Combine Scrapy + Airflow for automated and scheduled data collection pipelines.

Python Developer Job Description

Data Engineer Job Description

Back-End Developer Job Description

API Developer Job Description

DevOps Engineer Job Description

AI Developer Job Description

CTA

Need reliable web data extraction at scale?
Hire experienced Scrapy developers from Lemon.io to build automated, ethical, and high-performance scraping solutions for your business intelligence needs.

Get Matched with Scrapy Developers

FAQ

What is Scrapy used for?: Scrapy is a Python framework used for large-scale web scraping, data mining, and information extraction from websites in structured formats like JSON or CSV.
Is Scrapy better than BeautifulSoup?: Yes, for large-scale projects. Scrapy is asynchronous, faster, and includes built-in support for pipelines, request scheduling, and error handling, making it more robust than BeautifulSoup.
Can Scrapy handle dynamic websites?: Yes. Scrapy can be combined with tools like Splash, Selenium, or Playwright to extract data from JavaScript-rendered pages.
Is it legal to use Scrapy for web scraping?: Yes, provided scraping complies with a site’s terms of service and data privacy laws such as GDPR and CCPA. Ethical scraping focuses on publicly accessible, non-sensitive data.

Book a call with an expert so you can be sure in your hiring strategy

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Why hire Scrapy developers

A Scrapy developer keeps your data pipeline from the web running when sites change.

Spider maintenance

Selectors fixed fast when target sites change.

Proxy and session handling

Rotating proxies and sessions that avoid blocks.

Scheduled crawls

Crawls run on schedule with Airflow or Scrapyd.

Scraped data validation

Checks that catch empty or malformed fields.

Case studies

Aerospace

The experience with Lemon.io has been fantastic. The interview process has been good, the caliber of people – excellent and integration has been very smooth.

Marc HorowitzCOO of SkyFi

Explore case

Telecommunications

We needed extra developers to clean off all these bugs so the company could skyrocket.

Conor MackenDirector of Engineering

Explore case

We needed extra AI engineers to keep our ambitious project running.

Mike LukimanFounding Senior Software Engineer at Everstar.ai

Explore case

Frequently asked questions

Since Scrapy is written in Python and used for web scraping, your best bet is to start looking within the Python developer community. Utilize job platforms like Indeed, LinkedIn, Dice (and others) by filtering searches using relevant keywords, such as “Scrapy”, “web scraping”, “Python,” “data extraction”, or “data mining”. Another great way to connect with engineers who know this framework would be finding communities dedicated to building web applications (using Python) or the Data Science world at large.

You can streamline things a bit more if you go through a niche hiring platform like Lemon.io — we connect companies directly with experienced individuals, many of whom excel at Scrapy. Our pre-vetted community includes software engineers located in over 50 countries — so you can find a software developer from the time zone you need.

Lemon.io offers a no-risk trial period of up to 20 hours (paid) when you hire a Scrapy programmer. This pilot project will let you collaborate on real tasks. You can evaluate not only their ability to effectively extract data using the Scrapy framework but also how smoothly they can work with a team and implement efficient code.

Just like every specialization on the Lemon.io platform, we have a no-risk replacement guarantee for Scrapy Pros, ensuring a smooth transition in case you need to switch devs. Usually, the clients don’t need it because our seasoned software engineers show the best results, but if something happens, we will make a replacement ASAP.

Yes, Scrapy developers are still very much in demand, especially in businesses and organizations that gather and analyze data. The tool is excellent for efficiently extracting data that can then be used to make better decisions and find important patterns across industries.

Some of the main use cases involve collecting pricing info, creating large news databases from numerous websites or social media (analyzing trending topics, etc.), plus custom datasets in the worlds of finance and research. The more data a company needs to gather from various publicly accessible corners of the internet, the more valuable an expert using Scrapy is, ensuring extraction is fully automated & requires as little intervention as possible.

We aim to quickly present a vetted shortlist of Scrapy devs within a day or two of your reaching out. Following that, Lemon.io provides additional steps on your behalf — you are welcome to conduct additional discussions to determine a great fit if needed. All this may add another few days. Typically, we’ve seen most clients bring their ideal Scrapy engineers on board within a short period of time.

Our team leverages more than 300 websites, job boards, and various sources to ensure your business finds Scrapy developers efficiently and affordably.

All developers who become part of Lemon.io have at least four years of professional experience and possess the skills to get started right away on challenging tasks related to this specialization.

Lemon.io developers can focus completely on delivering quality code and fulfilling your project goals because we handle all communication, payment, and related administrative tasks, maximizing their efficiency and output for your specific requirements.

Lemon.io makes sure that all of the Scrapy coders they give are the best:

1. First, candidates fill out an in-depth form. Their experience, technical skills, language, etc are checked by a machine to see if they qualify.
2. Then, a member of Lemon.io’s recruiters looks carefully at each resume/CV, checking with things like LinkedIn profiles for accurate info.
3. During the screening call, applicants do challenges on a testing website like Coderbyte so we can check if they understand web scraping and how good it is & then try actually applying their knowledge of Scrapy through building small tools.
4. Top programmers from step 3 will get to talk with our web crawling & scraping expert in person to prove how much practical experience they’ve got with code & theoretical understanding (live code demonstrations & projects review are part of it).

Scrapy developers are web-scraping masters. They use the powerful framework called “Scrapy” to create tools that gather valuable data from websites automatically. This means businesses can use those tools for research, analyze what’s out there, and make better products.

For companies that need information, especially data collection (like online stores checking out prices or new things their competitors are doing; financial people that watch the stock market & those companies that provide the data-driven products to users) – this is really useful.

Scrapy is not the best fit?

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