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Web Scraping Experts in Berlin

in minutes from over 15,000 CVs with the power of AI.

Hire experts who can build reliable data extraction pipelines, handle anti-bot measures, and work with tools like Scrapy, Playwright, Selenium, and Beautiful Soup. Match with vetted, available freelancers fast and precisely.

Meet FRATCH Experts in Berlin, who have recently used Web Scraping

Verified expert

Meisam Ghafarlangroudi

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AI Product Engineering Lead | Hands-On Delivery, Clients & Platforms

Berlin
Meisam Ghafarlangroudi

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.
Verified expert

Ege Paksoy

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AI Research Collaborator

Berlin
Ege Paksoy

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.
Verified expert

Kai Schmudlach

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Software Developer

Berlin
Kai Schmudlach

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
Verified expert

Fiona Sicher

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Working Student NLP & Software Engineering

Berlin
Fiona Sicher

Last position:

Working Student NLP & Software Engineering at Die Lautmaler GmbH

  • Design, development, and maintenance of chat- and voicebots using Python and Typescript
  • Build web scraping solutions, databases, and internal GUIs for efficient data extraction
  • Perform prompt engineering, testing, and optimization of bot performance
  • Maintain and improve RAG approaches in LangChain

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: 2.5 years)

Positions per freelancer

9 (Germany: 8)

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: 68%)

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 30 Aug 2026.

Daily rate distribution

0 1 2 3 4
<€320 €320-​480 €640-​800 €800-​960 €1120+

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.

800
600
400
200
Rate comparison chart
Daily rate avg. 612 €
Germany avg. 704 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 640 €
Germany median 720 €

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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

About the technology

What it covers

Web scraping pulls structured data from websites that do not offer a clean feed. It is used for price monitoring, lead generation, catalog building, search result tracking, and market research. In practice, people also call it web crawling or screen scraping when the work reaches beyond simple page fetches.

Common stacks

  • Scrapy for larger crawling jobs
  • Playwright or Selenium for JavaScript-heavy sites
  • Beautiful Soup, lxml, and HTML parsing tools
  • Proxy handling, session control, and rate limits
  • Export flows into CSV, JSON, databases, or APIs

When teams bring help

Companies look for freelance specialists when a scraper breaks after a site change, when login flows and bot checks slow delivery, or when a one-off extraction must run on a deadline. Berlin teams in e-commerce, travel, research, and adtech often need this kind of work for internal data pipelines and rapid validation.

What strong experts do

Strong professionals read page structure quickly, find stable selectors, and design jobs that fail cleanly instead of silently corrupting data. They know when to use HTTP requests, browser automation, or a hybrid approach. They also keep maintenance in mind, because scraping is never only about the first run.

Deliverables

A good engagement usually includes a source review, a working extractor, field mapping, and a repeatable export format. It may also include deduplication, pagination handling, scheduling, and simple monitoring. For web scraping, clear documentation matters because teams often need to adjust selectors later.

Hiring in Berlin

Berlin companies often want specialists who can work with product, research, or growth teams in English and German. Remote collaboration is common, but on-site sessions can help when access rules, internal tools, or sensitive data need closer coordination. Ask for proof of past scraping work, not just general Python knowledge.

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Frequently asked questions

Not sure where to start with Web Scraping? These answers cover the essentials.

Web Scraping is used to collect data from websites and turn it into structured output a team can actually use. Common tasks include price checks, product catalog building, job or listing monitoring, lead lists, and content tracking. It is useful whenever a site has the data you need but no suitable export.

Web Scraping extracts specific fields from pages, while web crawling focuses on discovering and visiting URLs across a site. In many projects, both appear together: crawling finds the pages and scraping pulls the data from them. If you only need a few pages with stable layouts, scraping alone may be enough.

A strong Web Scraping freelancer often works with Scrapy, Playwright, Selenium, Beautiful Soup, and lxml. They may also use proxies, browser profiles, and scheduling tools to keep jobs running reliably. The right stack depends on whether the target pages are static, script-heavy, or protected by anti-bot checks.

A good Web Scraping specialist usually knows Python well and understands HTML, CSS selectors, HTTP requests, and data cleaning. Many also handle JSON APIs, databases, and simple automation around storage or exports. For harder sites, browser automation and debugging skills matter just as much as parsing skills.

A simple Web Scraping task can be handled with lighter experience if the site is stable and the fields are clear. Complex projects need deeper knowledge of JavaScript rendering, anti-bot measures, login flows, and long-term maintenance. The harder the target site, the more you should value practical project history over broad claims.

Yes, Web Scraping work fits remote collaboration well because most of the build, testing, and troubleshooting happens in code. Berlin teams often mix remote work with occasional in-person alignment when source access, internal data policies, or stakeholder review needs extra context. Clear communication is more important than location.

Look for a Web Scraping expert who can explain selector choice, pagination handling, error handling, and how the scraper survives site changes. Good signs include clean code, a sample export, clear documentation, and honest discussion of limits such as login walls or anti-bot controls. Ask how they test changes before a site update breaks the job.

Web Scraping usually means extracting data from web pages in a structured way, often from HTML or page APIs. Screen scraping is a looser term and can mean pulling text from what is visible on screen, sometimes from older systems or rendered pages. In modern web work, people often say screen scraping when they really mean browser-based scraping.

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 612 € 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 (17%).

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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