Data-Driven Insights – Your Competitive Advantage
Web Scraping Agency Zurich – Data That Makes a Difference
We are your Zurich-based web scraping agency that empowers you with automated data collection from the web to unlock new opportunities. Lean & Sharp: Where tailored scraping solutions meet data-driven strategies. Act faster and smarter!
🕵 Market & Competitor Analysis: Access up-to-date pricing, content, and job data from your competitors.
🤖 Custom Bots: Tailored scraping solutions for your specific requirements.
📊 Data That Delivers: Leverage structured data for marketing, sales, product development, and more.
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What is web scraping?
Web scraping refers to the automated extraction of data from websites. There are different methods to perform web scraping, but generally they all follow a similar process. First, a website or collection of websites is selected for the data to be extracted. Then, the relevant data is extracted from the chosen web pages and converted into a structured format for further processing.
How does web scraping work?
Scripts
One of the most common methods of web scraping is extracting data from websites using scripts. This involves using special software to analyze the HTML structure of the website and extract the required data. This can be done by writing scripts manually to derive specific data from a website. Alternatively, specific tools can be used to automate the process of scripting and data extraction.
APIs (Application Programming Interfaces)
Another method of web scraping is the use of APIs (Application Programming Interfaces). APIs are special interfaces provided by websites to help developers access their data. Web scraping with APIs usually requires less technical knowledge and is faster and more efficient than extracting data from websites manually. API scraping is also easier as the structure and content of the data to be accessed is clearly defined. However, not all websites provide APIs, or access to APIs may be restricted.
To perform web scraping, different technologies are needed, depending on which method is used. If manual scripts are written to extract data, programming skills in languages such as Python, Java, or Ruby are usually required.
What do we offer?
In addition to the development of scraping bots, we implement the acquired data into the existing marketing & sales strategy.
We offer customized bots for this purpose:
Price Bot
How do you compare to the competitors in terms of price?
Content Bot Bot
Which content is published by the competitors?
Jobs Information
Information about different jobs.
Technical Bot
Get notified when your competitor’s website changed.
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Our Team
Gero, aka Dr. Lean, is a passionate growth hacker and entrepreneur with over 10 years of experience in digital transformation. As the founder and owner of Lean & Sharp, he supports his clients with tailored growth strategies based on data-driven insights. In his free time, Gero goes to the gym, skis, and learns Ukrainian.
Dr. Gero Kühne
Lead Digital Strategy
As a Senior Growth Consultant, I supported Lean & Sharp's clients in the planning, consulting and implementation of growth campaigns. I have over 15 years of experience in the agency & e-commerce sector. My passions are data, statistics, Spanish and fitness.
Philip Bertschi
Growth Marketing Consultant, SEO
As a WordPress developer, I specialize in building dynamic and user-friendly websites. With a background in RPA development and data parsing, I bring automation expertise to enhance efficiency. Outside of work, I enjoy hiking, where I find inspiration and fresh ideas.
Peter Polovinkin
Backend Development & Web Scraping
FAQs
Web scraping is the automated extraction of data from websites. With web scraping, companies can gather valuable information from public sources to gain competitive advantage, conduct market research, or optimize their business processes. For example, companies can use web scraping to collect pricing information from competitors, analyze social media posts, or extract customer data from online directories.
We only collect data that is freely available on the internet. In principle, we automate a process that can also be done manually. Before each project, we check the legality of the data collection on a case-by-case basis.
Basically, all data from websites can be extracted, e.g. content, titles, prices, descriptions, dates, etc.
We usually deliver the data as Excel or Google Sheet or as .csv. If a different format is required, this should be clarified in advance.
The price depends on a number of factors:
(I) How often does the data need to be retrieved? Monthly, weekly, daily, hourly, etc.?
(II) How many competitors should be included in the monitoring?
Yes. For more information, contact us at marketing@lean-sharp.ch
