Web Scraping Experts in Berlin
in minutes from 15,000 CVs with vetted, available specialistsHire experts who build reliable scraping pipelines, handle anti-bot controls, and structure data from complex sites and APIs. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Web Scraping
Julien L.
Last position:
MLOps Engineer at SAMGEN
- Building and scaling cloud infrastructure on GCP to support a SaaS platform for industrial clients
- Designing and implementing a data-driven DevOps pipeline for streamlined deployment and CI/CD workflows
- Collaborating with Data Science team on MLOps workflow to automate integrated retraining
Meisam G.
Last position:
Senior AI Engineer / Data Scientist at Geeks Ltd (WordUp)
Geeks Ltd is a UK-based technology company; WordUp is its AI-driven language-learning product focused on personalized vocabulary learning and intelligent educational experiences.
- Coordinate AI product delivery across Product, Engineering, Data, Operations, and leadership, translating user needs into scoped initiatives, sequencing work, surfacing blockers, facilitating hand-offs, and communicating progress.
- Own search, recommendation, retrieval, and content-enrichment features end to end, from requirements and architecture through Python/FastAPI implementation, testing, deployment, monitoring, and rapid iteration.
- Developed low-latency retrieval, ranking, and personalization services using AWS, OpenSearch, DynamoDB, embeddings, and reusable APIs, achieving <1s latency, 22% higher engagement, and 12% higher premium conversion.
- Use AI coding assistants for codebase analysis, scaffolding, refactoring, tests, debugging, and documentation while reviewing every output for correctness, architectural fit, security, maintainability, and user value.
- Represent technical work in planning and stakeholder discussions, gather requirements first-hand, challenge priorities constructively, explain delivery trade-offs, and help teammates make outcome-focused decisions.
Fiona S.
Last position:
Freelance at Flyworks
Ege P.
Last position:
AI Research Collaborator at NPO
- Contributed to the Karakutu project, developing AI-driven tools to analyze news in Turkey.
- Assisted in web scraping, applied NER for entity extraction, and built interactive filtering interfaces (Vue.js, Plotly.js) for entity and location based search.
- Performed sentiment and content-shift analysis to detect editorial influence in modified news articles.
Kai S.
Last position:
Software Developer at Hensoldt AG
- Development of a GUI application for capturing and calculating TOPSIS sensor combinations
- Technologies: Python, VS Code, Unit Tests, Clean Code, GitHub Copilot
Fozy K.
Last position:
Software Engineering Consultant at Freelance
- Development, architecture, coaching, hiring and scaling teams
Discover over 15,000 top freelancers
Statistics of experts using Web Scraping
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 14 years)
Position duration
2.2 years (Germany: 2.3 years)
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Education, Healthcare
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
60% (Germany: 70%)
Certifications per freelancer
0 (Germany: 1)
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Berlin using Web Scraping
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Web Scraping 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 (83%)
- Education (67%)
- Healthcare (50%)
- Media and Entertainment (50%)
- Government and Administration (50%)
- Retail (50%)
- Energy (33%)
- Banking and Finance (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data extraction
Web scraping pulls data from public websites and turns it into usable records. It is used for price monitoring, lead lists, market research, job boards, catalog feeds, and content collection when no clean API is available.
Common stack
- HTML parsing and selector logic
- Browser automation for dynamic pages
- Request handling, retries, and rate limits
- Storage, cleanup, and deduplication
- Export to CSV, JSON, databases, or internal tools
Strong professionals know when to scrape, when to use an API, and how to keep jobs stable as page layouts change. They also write code that is easy to adjust when the source site changes its structure.
When to bring help
Companies usually bring in freelance specialists when an internal team needs data fast, but the source sites are messy, blocked, or built with JavaScript. It also helps when a one-off crawl needs to become a repeatable pipeline with monitoring and error handling.
What good work looks like
A solid web scraping specialist cares about data quality, not just getting a page to load. They handle pagination, login flows where permitted, bot detection, and field mapping so the output is ready for analysis or import.
Berlin projects
Berlin teams often use scraping for ecommerce, media monitoring, travel data, and B2B research. Remote work is common, but local collaboration can help when stakeholders want quick review cycles, German-language source sites, or tight alignment with product and research teams.
Ecosystem and skills
- Python or JavaScript for extraction logic
- Scrapy, Playwright, Selenium, or Puppeteer
- XPath, CSS selectors, and DOM inspection
- Basic data engineering and QA thinking
- Respect for site terms, robots rules, and legal constraints
Frequently asked questions
Not sure where to start with Web Scraping? These answers cover the essentials.
A strong web scraping specialist delivers structured data, not just scripts. That can include crawlers, extraction rules, cleaned datasets, and scheduled jobs that keep collecting the same fields over time. The best output is ready to use in reporting, search, enrichment, or import workflows.
No. Web scraping reads data from website pages, while an API provides a defined interface for data exchange. If an API exists and covers the need, it is usually cleaner; scraping is used when there is no API, the API is limited, or the public pages contain the required data.
Common web scraping tools include Scrapy for crawl logic, Playwright or Selenium for browser automation, and Puppeteer in JavaScript stacks. Strong specialists also use selectors, queueing, retry logic, and storage tools so the pipeline stays stable when pages change.
Simple web scraping tasks can be handled by a specialist who knows page structure, extraction rules, and clean output formats. More complex work needs experience with JavaScript-heavy sites, login flows, rate limits, and monitoring. If the source is fragile or changes often, deeper experience matters.
Look for web scraping professionals who also understand data cleaning, browser automation, and basic backend work. SQL, Python or JavaScript, and a sharp eye for schema design help a lot. For ongoing feeds, monitoring and alerting are just as important as extraction.
Web scraping focuses on extracting specific fields from pages, while crawling is about discovering and visiting pages at scale. Many projects need both, but the goal is different. A good specialist knows when to combine them and when a smaller, targeted extractor is enough.
Yes. Web scraping work is often remote-friendly because the main inputs are source URLs, sample pages, and clear data requirements. In Berlin, on-site time can still help during discovery, especially if product, research, or legal teams need close coordination around scope and acceptable sources.
A good web scraping solution is testable, easy to change, and respectful of source-site limits. Check whether it handles errors, deduplicates records, keeps field names consistent, and separates extraction logic from storage. If it only works on one page today, it is not production-ready.
The average hourly rate of freelancers in Berlin, Germany who have used Web Scraping in their recent projects is 77 €, which corresponds to a daily rate of about 613 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Web Scraping in their recent projects, 100% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Web Scraping in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Berlin, Germany who have used Web Scraping in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Berlin, Germany who have used Web Scraping in their recent projects are Information Technology (83%), Education (67%), and Healthcare (50%).
The most common business areas among freelancers in Berlin, Germany who have used Web Scraping in their recent projects are Information Technology (100%), Product Development (83%), and Research and Development (83%).
Main locations of FRATCH Experts, who have recently used Web Scraping
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 
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