Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training in Web Data Analysis and Extraction with BeautifulSoup: Mastering Web Scraping in Python
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Understand the principles of web scraping and associated legislation
- Navigate, analyze, and extract data from web pages with BeautifulSoup
- Process, clean, and structure extracted data
- Automate large-scale data collection
- Manage limits and best practices in scraping to avoid blocks
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without mastery of web scraping in Python with BeautifulSoup, data analysts and developers lose an average of 12 hours per week manually collecting web data, stalling critical projects.
70 % of analysis errors stem from imprecise or non-automated extractions, generating estimated losses of 40 000 € annually per team in flawed decisions and delays.
Your company risks losing market share to agile competitors, while your career stagnates amid the explosion of web data needs.
Every month without solid skills amplifies these vulnerabilities.
Program
Module 1Introduction to Web Scraping and BeautifulSoup Installation
Overview of web scraping, legal and ethical framework, selection of Python libraries, installation of BeautifulSoup and its dependencies. First steps with simple HTML parsing.
Module 2Advanced Parsing Techniques and DOM Navigation
In-depth exploration of HTML structure, selection of tags and attributes, use of CSS selectors and XPath searches. Advanced extraction of nested data, handling and cleaning of tags and text.
Module 3Automation, Data Processing, and Best Scraping Practices
Loops and automation for scraping multiple pages, HTTP request handling with requests and BeautifulSoup, managing delays, custom headers, and captchas. Data export (CSV, JSON, SQL), error handling and blocks, compliance with robots.txt rules.
Evaluation method
- Practical implementation of a mini-project extracting data from a real website
- Multiple-choice questions at the end of the training
- Individual and group review of exercises
Learning method
- Live demonstrations on real-world cases
- Progressive hands-on exercises
- Analysis of concrete cases proposed by participants
- Detailed course materials and script examples provided
Methods, materials and delivery
The Training in Web Data Analysis and Extraction with BeautifulSoup: Mastering Web Scraping in Python program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training in Web Data Analysis and Extraction with BeautifulSoup: Mastering Web Scraping in Python program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training in Web Data Analysis and Extraction with BeautifulSoup: Mastering Web Scraping in Python program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training in Web Data Analysis and Extraction with BeautifulSoup: Mastering Web Scraping in Python training cost?+
The price is $2,940 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training in Web Data Analysis and Extraction with BeautifulSoup: Mastering Web Scraping in Python training?+
The training lasts 2 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Proficiency in Python basics and knowledge of web navigation (HTML/CSS)
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
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