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sources/academy/webscraping/scraping_basics_python/07_extracting_data.md

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Let's summarize what stands in our way if we want to have it in our Python program as a number:
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- A dollar sign preceeds the number,
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- the number contains decimal commas for better human readability,
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- and some prices start with `From`, which reveals there is a certain complexity in how the shop deals with prices.
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- the number contains decimal commas for better human readability, and
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- some prices start with `From`, which reveals there is a certain complexity in how the shop deals with prices.
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## Representing price
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sources/academy/webscraping/scraping_basics_python/index.md

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## What you'll do
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- Inspect pages using browser DevTools
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- Download web pages using the HTTPX library
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- Extract data from web pages using the Beautiful Soup library
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- Inspect pages using browser DevTools.
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- Download web pages using the HTTPX library.
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- Extract data from web pages using the Beautiful Soup library.
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- Save extracted data in various formats, e.g. CSV which MS Excel or Google Sheets can open
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- Follow links programatically (crawling)
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- Save time and effort with frameworks, such as Crawlee, and scraping platforms, such as Apify
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- Follow links programatically (crawling).
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- Save time and effort with frameworks, such as Crawlee, and scraping platforms, such as Apify.
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## Who this course is for
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Anyone with basic knowledge of developing programs in Python who wants to start with web scraping can take this course. The course does not expect you to have any prior knowledge of web technologies or scraping.
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## Requirements
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- A macOS, Linux, or Windows machine with a web browser and Python installed
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- Familiarity with Python basics: variables, conditions, loops, functions, strings, lists, dictionaries, files, classes, and exceptions
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- Comfort with importing from the Python standard library, using virtual environments, and installing dependencies with `pip`
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- Familiarity with running commands in Terminal (macOS/Linux) or Command Prompt (Windows)
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- A macOS, Linux, or Windows machine with a web browser and Python installed.
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- Familiarity with Python basics: variables, conditions, loops, functions, strings, lists, dictionaries, files, classes, and exceptions.
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- Comfort with importing from the Python standard library, using virtual environments, and installing dependencies with `pip`.
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- Familiarity with running commands in Terminal (macOS/Linux) or Command Prompt (Windows).
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## You may want to know
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