Web Scraping Experts in Berlin
matched in minutes with vetted, available freelancersHire experts who collect, structure and maintain reliable web data with Python, Scrapy, Playwright or Selenium. Work with specialists for market research, price monitoring, lead enrichment and data pipelines, matched quickly and precisely 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
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Statistics of experts using Web Scraping
Aggregated from the professional profiles of matched freelancers.
Experience
13 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: 97%)
Master's degree or higher
60% (Germany: 66%)
Certifications per freelancer
0 (Germany: 2)
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin 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 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 29 Oct 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
What Web Scraping Does
Web Scraping extracts information from public web pages and turns changing content into structured, usable data. Professionals collect product details, prices, listings, reviews, articles or market signals, then prepare the results for analysis, search, reporting or internal systems. The work can cover a single source or a maintained network of websites.
Typical Deliverables
Companies use scraping projects to create repeatable data flows rather than manual copy-and-paste work.
- Product, price and availability feeds for commerce teams
- Real estate, travel and job listing collections
- Competitor, content and market monitoring
- Lead enrichment and directory data
- Structured exports for research and analytics
Tools And Ecosystem
A strong specialist chooses tools according to page complexity, scale and data quality needs. Python is common, with Scrapy for crawling workflows and Beautiful Soup or lxml for parsing. Playwright and Selenium support JavaScript-heavy pages, while requests, browser automation, proxies, queues and cloud storage help operate robust pipelines. APIs, CSV, JSON and database integrations complete the delivery.
When To Bring In Expertise
Freelance expertise helps when a source changes often, contains client-rendered content or must be monitored reliably. It is also valuable when an internal team needs a tested crawler quickly, wants to replace fragile scripts or must integrate collected data into a warehouse, CRM or dashboard. In Berlin, remote collaboration is often practical; on-site work can help when the project involves close coordination with local research, commerce or media teams.
Quality And Responsible Collection
Good Web Scraping is more than extracting HTML. Professionals inspect page structure, handle pagination and duplicate records, validate fields, log failures and design retries without hiding data gaps. They also review robots.txt, terms of use, access controls, privacy requirements and request behaviour before production use. Clear source documentation and a handover plan make the result maintainable.
Choosing The Right Specialist
Look for evidence of robust collectors, not only a demo that works on one page. Ask how the specialist handles changes in selectors, JavaScript rendering, rate limits, blocked requests, missing values and monitoring. Strong professionals explain trade-offs, define the output schema, test representative pages and communicate where source restrictions or instability may affect delivery. Language fit and overlap with a Berlin team’s working hours can matter for ongoing work.
Frequently asked questions
Not sure where to start with Web Scraping? These answers cover the essentials.
Web Scraping is used to collect information from websites and convert it into structured data. Companies apply it to price monitoring, market research, listing aggregation, content analysis, lead enrichment and recurring data feeds.
Web Scraping can collect information when no suitable API exists or when an API does not expose the required fields. An API is usually more stable and easier to govern, so a specialist should assess official access first and use scraping only when the source, terms and technical conditions support it.
A capable Web Scraping specialist often also understands Python, HTML, CSS selectors, JavaScript rendering, HTTP behaviour, data cleaning and database design. Experience with Scrapy, Playwright, Selenium, cloud storage, scheduling and monitoring is useful for production work.
The right level for Web Scraping depends on the number and complexity of sources, how often they change and whether pages rely on JavaScript. A simple, stable source may need focused implementation, while a maintained multi-source pipeline requires stronger skills in testing, observability, retries and data quality.
Yes, Web Scraping is commonly delivered remotely because source access, code, documentation and outputs can be shared online. Teams in Berlin should agree on communication routines, data access, working-hour overlap and whether any meetings or handover sessions require on-site attendance.
Test Web Scraping against known pages and expected fields before accepting the result. Review completeness, duplicates, freshness, type consistency, error handling and logs, and ask how the specialist will detect layout changes or silent collection failures.
Web Scraping is not automatically permitted for every source or purpose. A specialist should review the website’s terms, robots.txt, access controls, privacy obligations and applicable rules, then use restrained request patterns and avoid collecting unnecessary personal information.
A clear Web Scraping brief should name the sources, fields, output format, update schedule, delivery destination and quality checks. It should also explain expected volumes, authentication needs, JavaScript behaviour, retention requirements and how changes or blocked access will be handled.
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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Philipp Thomaschewski
FRATCH CEO
