Scrapy Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Scrapy
Bardiya B.
Last position:
Data Scientist at Rewe Digital GmbH
Statistical Forecasting Algorithm
- Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
- Migration from R/On-premise to Python/Snowflake
- Productionalization on Snowflake in cooperation with data engineers & DevOps
Monitoring Dashboard
- Data engineering for preparation & provisioning of necessary data/resources on Snowflake
- Development & deployment of a Streamlit dashboard in Snowflake
ML-based Probabilistic Forecasting on Vertex AI
- Development of a ML-based probabilistic forecasting algorithm from scratch
- Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI
Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow
Patrick D.
Last position:
Fullstack Developer
- SPA for automated communication of medical findings with role-based access (Sanctum)
- Server-side LLM integration (OpenRouter) with structured processing
- Automated sending via SMS/voice call (Twilio, ElevenLabs) with queue + status retry
- Full test coverage with 80+ documented test cases
Technologies: PHP, Laravel, LLM API (OpenRouter), Twilio, ElevenLabs, Laravel Sanctum, PHPUnit, Playwright, Docker, REST
Ayusee S.
Last position:
Intern at Schaeffler
- Built a Trend-Scouting AI system to automate technology intelligence in power electronics and semiconductors, combining Azure OpenAI with LangChain, Scrapy-based web crawling for structured, noise-free data acquisition, and automated PDF reporting for internal R&D use. Developed a FastAPI-based (Uvicorn) web application to validate LLM outputs, test prompt strategies, and enable interactive system evaluation.
- Developed a real-time STM32 binary telemetry debugger with a PyQt-based GUI, featuring header-based frame synchronization, anomaly detection, template-driven payload decoding, time-aligned buffering, and live signal visualization.
- Developed an AI-driven power inductor designer using surrogate regression models for accurate electromagnetic and thermal prediction. Integrated multi-objective NSGA-II optimization to generate efficient, manufacturable designs.
Bianca S.
Last position:
Consultant OpenSearch at SHI GmbH
- Optimizing the online shop search function based on Magento and OpenSearch
- Advising on eliminating search pain points (composite search, case-insensitive search)
- Data modeling of products (parent) and items (child)
- Workshops to convey domain-specific search understanding
Tarik H.
Last position:
Technical Product / Digital Asset Owner at Sodexo Pass & Benefit Services
- Migration of 3 DE/AT payment iOS/Android apps and web portal to global solution
- Performed a fit gap analysis for 6 consumer apps vs. global solution
- Managed the migration project to global CWC solution, developed end-to-end tests for backend systems, Pi Planning, release planning
Daniel C.
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Giovanni S.
Last position:
Technical Product Manager at Logicc GmbH
Acted as the primary bridge between Legal, Engineering, and Business units to ensure zero compliance violations while maintaining product velocity.
Led the development of a GDPR-compliant AI aggregator platform, managing a roadmap that balances legal constraints with aggressive feature delivery.
Scaled the engineering team from 4 to 9 developers, establishing hiring protocols and technical onboarding processes to support rapid product iteration.
Boosted the development process by introducing structured sprint cycles and backlog refinement, resulting in a 20% reduction in feature delivery time.
Architected and prototyped agentic AI workflows with n8n and RAG pipelines on Langchain.
Discover over 15,000 top freelancers
Statistics of experts using Scrapy
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
2.4 years
Positions per freelancer
8
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Business Intelligence, Information Technology, Product Development
Bachelor's degree or higher
86%
Master's degree or higher
86%
Doctorate
29%
Certifications per freelancer
5
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using Scrapy
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Scrapy experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Automotive (43%)
- Banking and Finance (43%)
- Healthcare (43%)
- Manufacturing (43%)
- Professional Services (43%)
- Retail (43%)
- Education (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Web Data Extraction
Scrapy is an open-source Python framework for crawling websites and extracting structured data. It provides the core components for spiders, request scheduling, response parsing, item processing and export. Companies use it to collect product data, listings, articles, research material and other web-based information at scale while respecting site rules and access policies.
Crawling Architecture
A Scrapy project separates crawling logic from data handling. Specialists define spiders, selectors and item schemas, then use middleware, pipelines and settings to control how requests and results move through the system. This structure supports repeatable crawls, clear maintenance and targeted changes when website layouts evolve.
Ecosystem And Tooling
Scrapy works closely with Python libraries and services used for storage, automation and analysis. Relevant skills often include:
- XPath and CSS selectors for precise parsing
- JSON, CSV, XML and database exports
- Custom middleware, pipelines and extensions
- Playwright or Selenium for browser-based pages
- Docker, scheduling and monitoring for production runs
When Companies Need Specialists
Freelance expertise is useful when an internal team needs dependable extraction without diverting product or data resources. Typical assignments include:
- Replacing fragile scripts with a structured Scrapy project
- Expanding crawlers across many page types or domains
- Handling pagination, duplicate content, retries and throttling
- Connecting scraped items to data warehouses or internal APIs
- Auditing crawl quality, compliance controls and maintainability
Companies in German retail, publishing, research and market analysis may use Scrapy for recurring data collection. Remote collaboration usually works well when requirements, sample pages and delivery formats are documented clearly; on-site work can help when the crawler connects to restricted internal systems.
Reliable Production Crawls
Strong professionals understand that a crawler is more than a set of selectors. They design for changing HTML, timeouts, redirects, duplicate requests, rate limits and incomplete responses. They also add logging, tests, retry policies and clear data validation so teams can identify failures before they affect downstream decisions.
Choosing The Right Expert
Look for practical examples of Scrapy spiders that have remained stable as target sites changed. Ask how the specialist handles robots.txt, terms of use, personal data, authentication and source-specific limits. A good professional explains trade-offs between Scrapy and browser automation, documents assumptions and delivers a project that another Python team can operate and extend.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Scrapy.
Scrapy is used to crawl websites and extract structured information into formats such as JSON, CSV, XML or database records. Companies use it for catalog monitoring, content research, lead enrichment, price intelligence and recurring web data collection.
Scrapy is usually more efficient for pages whose data is available in the HTTP response, because it does not need to render every page like a browser. Tools such as Playwright or Selenium are better suited to heavily client-rendered interfaces, interactive flows and pages that require browser execution; many projects combine both approaches.
A strong Scrapy specialist should also understand Python, XPath, CSS selectors, HTTP behavior and data modeling. Experience with databases, APIs, Docker, scheduling, monitoring and browser automation is valuable when a crawler must run reliably in production.
The right level depends on the scope and risk of the crawl. A smaller extraction task may need solid Python and selector skills, while a multi-domain or business-critical system calls for a professional who can design pipelines, manage failures, test changing layouts and document operational decisions.
Yes. Scrapy work is often well suited to remote collaboration because requirements, sample pages, credentials and output schemas can be shared digitally. For teams in Germany, German or English communication may be relevant when the specialist works with local stakeholders or internal systems.
Review whether the Scrapy project has clear spiders, reusable selectors, item schemas and separated pipelines. Ask for evidence of tests, logging, throttling, retry handling, duplicate control and documentation, rather than judging quality only by whether a sample crawl currently returns data.
Scrapy can process data exposed through network requests, including many JSON endpoints used by modern websites. When important content appears only after browser-side interaction, a specialist may add Playwright or Selenium, call a suitable endpoint directly, or combine browser rendering with Scrapy pipelines.
Before using Scrapy, the company should review the target site's terms, robots.txt guidance, access restrictions and applicable privacy obligations. A responsible professional limits request rates, avoids unnecessary personal data, protects credentials and records the decisions that define permitted collection.
The average hourly rate of freelancers in Germany who have used Scrapy in their recent projects is 106 €, which corresponds to a daily rate of about 850 € based on an 8-hour working day.
Of the freelancers in Germany who have used Scrapy in their recent projects, 86% hold at least a Bachelor's degree, 86% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Germany who have used Scrapy in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Germany who have used Scrapy in their recent projects are German (100%), English (100%), and French (57%).
The most common industries among freelancers in Germany who have used Scrapy in their recent projects are Information Technology (100%), Automotive (43%), and Banking and Finance (43%).
The most common business areas among freelancers in Germany who have used Scrapy in their recent projects are Information Technology (100%), Product Development (100%), and Operations (71%).
Main locations of FRATCH Experts, who have recently used Scrapy
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
