Beautiful Soup Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Beautiful Soup
Volker Haase
Last position:
Data Analyst at Optaro GmbH
Creation of workflows for generating the data basis for the article import of a web shop: combining data from several sources, analyzing the requirements, designing the process with Jupyter Notebooks and Knime. Also creating code for automation in Python using Polars and Pandas.
Processing the source data, filtering and merging the source files and creating the needed intermediate products, creating the upload files, plausibility checks, quality checks.
Technologies used: PyCharm, Python, Jupyter Notebooks, SQL, Knime. Pandas, Polars
Peter Achilles
Last position:
IT Consultant at Mercedes-Benz Tech Innovation
- Development of automated software tests (unit, integration, regression and end-to-end tests).
- Applied technologies: Playwright, Vitest, JavaScript, TypeScript, Vue3, Go, Laravel, REST API, CI/CD, Docker, Git, GitHub, Scrum, Jira.
Olusina Fabunmi
Last position:
Cyber Job Simulation at Deloitte Australia
- Completed a job simulation involving reading web activity logs.
- Supported a client in a cybersecurity breach.
- Answered questions to identify suspicious user activity.
Daniel Carton
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)
Apoorv Singh
Last position:
AI Interviewer
- Built an AI Research Assistant with RAG, LangChain, LangGraph, and OpenAI LLMs integrated with vector search.
Ekaansh Khosla
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Krupali Poharkar
Last position:
Research Associate at Institute of Anatomy and Cell Biology
- Led single-cell and bulk RNA-seq analyses to identify rare airway and immune cell populations
- Designed and deployed multiple interactive R Shiny and Streamlit dashboards for real-time data exploration and communication with clinical partners
- Developed machine learning models for immunotherapy response prediction using single-cell transcriptomics and immune profiling data
- Built reproducible pipelines for single-cell and bulk RNA-seq analyses aligned with clinical and research standards
- Analyzed patient-derived datasets for biological marker identification using reproducible pipelines aligned with research and clinical standards
- Translated computational outputs into clear biological insights for mixed technical and non-technical audiences
Discover over 15,000 top freelancers
Statistics of experts using Beautiful Soup
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.9 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Healthcare
Bachelor's degree or higher
100%
Master's degree or higher
71%
Doctorate
29%
Certifications per freelancer
2
Most common languages
English, German, French
Speak two or more languages
86%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany 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 Germany using Beautiful Soup
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Web parsing
Beautiful Soup is a Python library for reading HTML and XML that is hard to trust as-is. Experts use it to turn messy pages into clean, structured data for research, monitoring, migration, and content extraction. It is a common choice when source markup is inconsistent and needs careful handling.
Typical work
- Extract product, price, and content data from public web pages
- Clean and normalize HTML before export or analysis
- Build repeatable scraping scripts for ongoing data collection
- Parse feeds, reports, and archived pages for internal use
Ecosystem fit
Strong professionals know Beautiful Soup as part of a broader Python toolset. They often combine it with requests for fetching pages, lxml for faster parsing, and CSS selectors or tag navigation for precise extraction. In Germany, companies often bring in freelance support when data sources are multilingual or vary by market.
What good experts do
A good specialist reads the document structure first and writes extraction logic around the page, not around a single sample. They handle broken markup, missing fields, and page changes without making the script brittle. They also keep the output predictable so downstream teams can reuse it.
When to hire
Bring in freelance expertise when your team needs fast turnaround, reliable parsing rules, or help rescuing an old scraper. Beautiful Soup experts are useful for one-off data pulls, ongoing monitoring jobs, and projects where scraping quality matters more than raw speed. They are also helpful when Python is already your main stack.
Quality signals
- Clear handling of malformed HTML and empty elements
- Practical use of bs4 methods like find, select, and navigate
- Thoughtful extraction logic with readable, maintainable code
- Awareness of site structure, encoding, and anti-breakage checks
Frequently asked questions
Questions about Beautiful Soup? Start with the answers below.
Beautiful Soup is used to parse HTML and XML in Python so teams can extract structured data from web pages. It is common in scraping, content migration, research, and page monitoring. Many specialists use it when the source markup is messy and needs careful cleanup.
Beautiful Soup is best known for simple, readable parsing and navigation. Compared with lxml, it is usually more forgiving and easier to work with on broken markup, while lxml can be faster. Compared with Scrapy, it is a library for parsing rather than a full scraping framework.
A strong Beautiful Soup specialist helps when you need reliable extraction from sites that change often or contain inconsistent HTML. That includes one-off data pulls, internal data feeds, and maintenance of older Python scraping scripts. It is also a good fit when you want clean output without overbuilding the stack.
A good Beautiful Soup freelancer usually knows requests, regular expressions, and Python data handling. Many also work with lxml, pandas, and URL/session handling when the project goes beyond parsing. If login flows or pagination are involved, those skills matter too.
Yes, Beautiful Soup is often called BS4 when people mean Beautiful Soup 4, the current widely used version. Searchers may use either term, and both usually point to the same Python library. A specialist should know the common API and the differences that matter in practice.
For a small extraction task, a Beautiful Soup expert with solid Python fundamentals may be enough. For fragile sites, large scrape sets, or ongoing maintenance, you want someone who has handled edge cases, encoding issues, and page changes before. The harder the source, the more important practical experience becomes.
Yes, Beautiful Soup work is often done remotely because the output is code, data, and clear documentation. For teams in Germany, remote collaboration works well if the specialist can align on source systems, language needs, and review cycles. On-site help is usually only needed for sensitive internal context.
A strong Beautiful Soup freelancer writes extraction logic that is easy to read and easy to maintain. Look for clean handling of missing fields, broken tags, and page structure changes, plus sensible naming and output formats. Good work should still be understandable when the site layout shifts.
The average hourly rate of freelancers in Germany who have used Beautiful Soup in their recent projects is 79 €, which corresponds to a daily rate of about 636 € based on an 8-hour working day.
Of the freelancers in Germany who have used Beautiful Soup in their recent projects, 100% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Germany who have used Beautiful Soup in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Beautiful Soup in their recent projects are English (100%), German (86%), and French (29%).
The most common industries among freelancers in Germany who have used Beautiful Soup in their recent projects are Information Technology (86%), Education (71%), and Healthcare (57%).
The most common business areas among freelancers in Germany who have used Beautiful Soup in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (86%).
Main locations of FRATCH Experts, who have recently used Beautiful Soup
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
