From f52590bc7835c260cca8f0ca9f7c07c3c8538c56 Mon Sep 17 00:00:00 2001 From: Honza Javorek Date: Fri, 6 Dec 2024 13:01:38 +0100 Subject: [PATCH 1/8] feat: kick off the third devtools lesson --- .../03_devtools_extracting_data.md | 83 +++++++++++++++++- .../images/devtools-extracting-price.png | Bin 0 -> 140904 bytes .../images/devtools-extracting-text.png | Bin 0 -> 142749 bytes .../images/devtools-extracting-title.png | Bin 0 -> 119737 bytes .../images/devtools-product-details.png | Bin 0 -> 253006 bytes 5 files changed, 82 insertions(+), 1 deletion(-) create mode 100644 sources/academy/webscraping/scraping_basics_python/images/devtools-extracting-price.png create mode 100644 sources/academy/webscraping/scraping_basics_python/images/devtools-extracting-text.png create mode 100644 sources/academy/webscraping/scraping_basics_python/images/devtools-extracting-title.png create mode 100644 sources/academy/webscraping/scraping_basics_python/images/devtools-product-details.png diff --git a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md index 99faf0ea9..98390ca31 100644 --- a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md +++ b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md @@ -6,12 +6,93 @@ sidebar_position: 3 slug: /scraping-basics-python/devtools-extracting-data --- +import Exercises from './_exercises.mdx'; + **In this lesson we'll use the browser tools for developers to manually extract product data from an e-commerce website.** --- +In our pursuit to scrape products from the [Sales page](https://warehouse-theme-metal.myshopify.com/collections/sales), we've been able to locate parent elements containing relevant data. Now how do we extract the data? + +## Finding product details + +Previously, we've figured out how to save the subwoofer product card to a variable in the **Console**: + +```js +products = document.querySelectorAll('.product-item'); +subwoofer = products[2]; +``` + +The product details are within the element as text, so maybe if we extract the text, we could work out the individual values? + +```js +subwoofer.textContent; +``` + +That indeed outputs all the text, but in a form which would be hard to break down to relevant pieces. + +![Printing text content of the parent element](./images/devtools-extracting-text.png) + +We'll need to first locate relevant child elements and extract the data from each of them individually. + +## Extracting title + +We'll use the **Elements** tab of DevTools to inspect all child elements of the product card for the Sony subwoofer. We can see that the title of the product is inside an `a` element with several classes. From those the `product-item__title` seems like a great choice to locate the element. + +![Finding child elements](./images/devtools-product-details.png) + +JavaScript represents HTML elements as [Element](https://developer.mozilla.org/en-US/docs/Web/API/Element) objects. Among properties we've already played with, such as `textContent` or `outerHTML`, it also has the [`querySelector()`](https://developer.mozilla.org/en-US/docs/Web/API/Element/querySelector) method. Here the method looks for matches only within children of the element: + +```js +title = subwoofer.querySelector('.product-item__title'); +title.textContent; +``` + +Notice we're calling `querySelector()` on the `subwoofer` variable, not `document`. And just like this, we've scraped our first piece of data! We've extracted the product title: + +![Extracting product title](./images/devtools-extracting-title.png) + +## Extracting price + +To figure out how to get the price, we'll use the **Elements** tab of DevTools again. We notice there are two prices, a regular price and a sale price. For the purposes of watching prices we'll need the sale price. Both are `span` elements with the `price` class. + +![Finding child elements](./images/devtools-product-details.png) + +We could either rely on the fact that the sale price is likely to be always the one which is highlighted, or that it's always the first price. For now we'll rely on the former and we'll let `querySelector()` to simply return the first result: + +```js +price = subwoofer.querySelector('.price'); +price.textContent; +``` + +It works, but the price isn't alone in the result. Before we'd use such data, we'd need to do some **data cleaning**: + +![Extracting product price](./images/devtools-extracting-price.png) + +But for now that's okay. We're just testing the waters now, so that we have an idea about what our scraper will need to do. Once we'll get to extracting prices in Python, we'll figure out how to get numbers out of them. + +## Extracting URL + +:::danger Work in Progress + +Under development. + +::: + +## Extracting all URLs + +:::danger Work in Progress + +Under development. + +::: + +--- + + + :::danger Work in Progress -This lesson is under development. Please read [Extracting data with DevTools](../scraping_basics_javascript/data_extraction/devtools_continued.md) in the meantime so you can follow the upcoming lessons. +Under development. ::: diff --git a/sources/academy/webscraping/scraping_basics_python/images/devtools-extracting-price.png b/sources/academy/webscraping/scraping_basics_python/images/devtools-extracting-price.png new file mode 100644 index 0000000000000000000000000000000000000000..2f603ae1a7c47b32615b9ac796d0a8b918f2a01f GIT binary patch literal 140904 zcmV)AK*Ya^P)(;&(PM^ z*3!|^&d}4)&d<-y&iOP#(AU}1+1k<1(9*zH*WBEZk&(^P)!gCX^U>4U-rm#F)6CG& z+1c6Nb`d+~n%$(bv}Ui&V+Z&+Ey|?99&b z&(ho9-^I+#T3TA>>gvkS(VC#9-?_c-&Cu}J*vQGr=IH0JwYMfGD(J_`+Sb?a(bBcL zyWO_B^3~Sh*4EjyxGpLz?bX(@xVq5U*~G`l>ekq+u(Ht1%)rIO;=8}4sjA}T+uHL@D=EBA2#mL~};=sqr<-Wq|)6=cAwArz>(5kNC&Cj*Ax3s*zr>w0c zB`D&-#MR&5=FiaD)6~V!(73+7%(uC_xw_xe)6}!J&#<$+#m3pWyt1*g&DYr0($l`e z!l0$4$D*a}&(NBG)zqu6riY5co}#vvnZvrfxx&QG$;m)LMb4(G%B!yB($u`bz}e2v 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already and if I covered it here I'd need to rewrite later lessons for no good reason. --- .../03_devtools_extracting_data.md | 16 +--------------- 1 file changed, 1 insertion(+), 15 deletions(-) diff --git a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md index 98390ca31..8e6d25a14 100644 --- a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md +++ b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md @@ -71,21 +71,7 @@ It works, but the price isn't alone in the result. Before we'd use such data, we But for now that's okay. We're just testing the waters now, so that we have an idea about what our scraper will need to do. Once we'll get to extracting prices in Python, we'll figure out how to get numbers out of them. -## Extracting URL - -:::danger Work in Progress - -Under development. - -::: - -## Extracting all URLs - -:::danger Work in Progress - -Under development. - -::: +In the next lesson, we'll start with our Python project. First we'll be figuring out how to download the Sales page without browser and make it accessible in a Python program. --- From d35bb328f4cd4d94af3a3051c4e8731ef60304f1 Mon Sep 17 00:00:00 2001 From: Honza Javorek Date: Tue, 21 Jan 2025 10:23:03 +0100 Subject: [PATCH 3/8] chore: oh my, dear Vale, you no subwoofer? --- .github/styles/config/vocabularies/Docs/accept.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/styles/config/vocabularies/Docs/accept.txt b/.github/styles/config/vocabularies/Docs/accept.txt index 089f3ce7f..60ad9c5fe 100644 --- a/.github/styles/config/vocabularies/Docs/accept.txt +++ b/.github/styles/config/vocabularies/Docs/accept.txt @@ -93,3 +93,4 @@ preconfigured asyncio parallelization IMDb +subwoofer From f5e92b248ea4a4748d3aea2a0f95b7771aa2327d Mon Sep 17 00:00:00 2001 From: Honza Javorek Date: Tue, 21 Jan 2025 11:40:06 +0100 Subject: [PATCH 4/8] feat: add fandom exercise --- .../03_devtools_extracting_data.md | 24 ++++++++++++++---- .../images/devtools-exercise-fandom.png | Bin 0 -> 689004 bytes 2 files changed, 19 insertions(+), 5 deletions(-) create mode 100644 sources/academy/webscraping/scraping_basics_python/images/devtools-exercise-fandom.png diff --git a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md index 8e6d25a14..dce4d815e 100644 --- a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md +++ b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md @@ -58,7 +58,7 @@ To figure out how to get the price, we'll use the **Elements** tab of DevTools a ![Finding child elements](./images/devtools-product-details.png) -We could either rely on the fact that the sale price is likely to be always the one which is highlighted, or that it's always the first price. For now we'll rely on the former and we'll let `querySelector()` to simply return the first result: +We could either rely on the fact that the sale price is likely to be always the one which is highlighted, or that it's always the first price. For now we'll rely on the later and we'll let `querySelector()` to simply return the first result: ```js price = subwoofer.querySelector('.price'); @@ -69,7 +69,7 @@ It works, but the price isn't alone in the result. Before we'd use such data, we ![Extracting product price](./images/devtools-extracting-price.png) -But for now that's okay. We're just testing the waters now, so that we have an idea about what our scraper will need to do. Once we'll get to extracting prices in Python, we'll figure out how to get numbers out of them. +But for now that's okay. We're just testing the waters now, so that we have an idea about what our scraper will need to do. Once we'll get to extracting prices in Python, we'll figure out how to get the values as numbers. In the next lesson, we'll start with our Python project. First we'll be figuring out how to download the Sales page without browser and make it accessible in a Python program. @@ -77,8 +77,22 @@ In the next lesson, we'll start with our Python project. First we'll be figuring -:::danger Work in Progress +### Locate the top Movies wiki on Fandom -Under development. +On Fandom's [Movies page](https://www.fandom.com/topics/movies), use CSS selectors and HTML elements manipulation in the **Console** to extract the name of the top wiki. Use JavaScript's [`trim()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/trim) method to remove white space from around the name. -::: +![Fandom's Movies page](./images/devtools-exercise-fandom.png) + +
+ Solution + + 1. Open the [Movies page](https://www.fandom.com/topics/movies). + 1. Activate the element selection tool in your DevTools. + 1. Click on the list item for the top Fandom wiki in the category. + 1. Notice that it has a class `topic_explore-wikis__link`. + 1. In the **Console**, execute `document.querySelector('.topic_explore-wikis__link')`. It returns element representing the top list item. The selector is apparently used only for the **Top Wikis** list, and because `document.querySelector()` returns the first matching element, we're almost done. + 1. In the **Console**, execute `item = document.querySelector('.topic_explore-wikis__link')` to save the element in a variable. + 1. In the **Console**, execute `item.textContent.trim()` to get the element's text without white space. + 1. At the time of writing, this returns `"Pixar Wiki"`. + +
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+ Solution + + 1. Open the [Artificial plants & flowers listing](https://www.ikea.com/se/en/cat/artificial-plants-flowers-20492/). + 1. Sort the products by price, high to low, so that the most expensive plant appears first in the listing. + 1. Activate the element selection tool in your DevTools. + 1. Click on the price of the first and most expensive plant. + 1. Notice that it has a class `plp-price__integer`. In the markup the price is already structured into two elements, with the integer separate from the currency, which is convenient. + 1. In the **Console**, execute `document.querySelector('.plp-price__integer')`. It returns element representing the first list item. The selector is apparently used only inside product cards, and because `document.querySelector()` returns the first matching element, we're almost done. + 1. In the **Console**, execute `price = document.querySelector('.plp-price__integer')` to save the element in a variable. + 1. In the **Console**, execute `parseInt(price.textContent)` to get the price as a number. + 1. At the time of writing, this returns `699`, as in [699 SEK](https://www.google.com/search?q=699%20sek). + +
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Solution diff --git a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md index 1db26bad4..7e6f12024 100644 --- a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md +++ b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md @@ -97,7 +97,6 @@ On Fandom's [Movies page](https://www.fandom.com/topics/movies), use CSS selecto
- ### Extract the price of IKEA's most expensive artificial plant At IKEA's [Artificial plants & flowers listing](https://www.ikea.com/se/en/cat/artificial-plants-flowers-20492/), use CSS selectors, and HTML elements manipulation in the **Console** to extract the price of the most expensive artificial plant (sold in Sweden, as we'll be browsing their Swedish offer). Before opening DevTools, use your wits to set the page to a state which is most favorable for you to complete the task with the least effort. In the end, use JavaScript's [`parseInt()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/parseInt) to turn the text to a number. @@ -116,3 +115,23 @@ At IKEA's [Artificial plants & flowers listing](https://www.ikea.com/se/en/cat/a 1. At the time of writing, this returns `699`, as in [699 SEK](https://www.google.com/search?q=699%20sek). + +### Extract details about the first post on Guardian's F1 news + +At Guardian's [F1 news page](https://www.theguardian.com/sport/formulaone), use CSS selectors and HTML manipulation in the **Console** to extract details about the first post. Extract its title, lead paragraph, and URL of the photo. + +![F1 news page](./images/devtools-exercise-guardian2.png) + +
+ Solution + + 1. Open the [F1 news page](https://www.theguardian.com/sport/formulaone). + 1. Activate the element selection tool in your DevTools. + 1. Click on the first post. + 1. Notice that there are no good classes to go by. The markup uses generic tags and randomized classes. We must rely on the hierarchy and order of the elements instead. + 1. In the **Console**, execute `post = document.querySelector('#maincontent ul li')`. It returns element representing the first post. + 1. In the **Console**, execute `post.querySelector('h3').textContent` to extract the title. + 1. In the **Console**, execute `post.querySelector('span div').textContent` to extract the lead paragraph. + 1. In the **Console**, execute `post.querySelector('img').src` to extract the photo URL. + +
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+++++++++++++++++- .../images/devtools-exercise-fandom.png | Bin 1045924 -> 958330 bytes ...an.png => devtools-exercise-guardian1.png} | Bin .../images/devtools-exercise-guardian2.png | Bin 0 -> 778382 bytes 5 files changed, 21 insertions(+), 2 deletions(-) rename sources/academy/webscraping/scraping_basics_python/images/{devtools-exercise-guardian.png => devtools-exercise-guardian1.png} (100%) create mode 100644 sources/academy/webscraping/scraping_basics_python/images/devtools-exercise-guardian2.png diff --git a/sources/academy/webscraping/scraping_basics_python/02_devtools_locating_elements.md b/sources/academy/webscraping/scraping_basics_python/02_devtools_locating_elements.md index d5c8a9fd7..dd93b04f7 100644 --- a/sources/academy/webscraping/scraping_basics_python/02_devtools_locating_elements.md +++ b/sources/academy/webscraping/scraping_basics_python/02_devtools_locating_elements.md @@ -198,7 +198,7 @@ Go to Guardian's [page about F1](https://www.theguardian.com/sport/formulaone). Hint: Learn about the [descendant combinator](https://developer.mozilla.org/en-US/docs/Web/CSS/Descendant_combinator). -![Articles on Guardian's page about F1](./images/devtools-exercise-guardian.png) +![Articles on Guardian's page about F1](./images/devtools-exercise-guardian1.png)

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+++++++++++++++++- .../images/devtools-exercise-fandom.png | Bin 689004 -> 1045924 bytes 3 files changed, 22 insertions(+), 1 deletion(-) diff --git a/.github/styles/config/vocabularies/Docs/accept.txt b/.github/styles/config/vocabularies/Docs/accept.txt index 60ad9c5fe..7637377b7 100644 --- a/.github/styles/config/vocabularies/Docs/accept.txt +++ b/.github/styles/config/vocabularies/Docs/accept.txt @@ -94,3 +94,4 @@ asyncio parallelization IMDb subwoofer +Fandom's diff --git a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md index dce4d815e..1db26bad4 100644 --- a/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md +++ b/sources/academy/webscraping/scraping_basics_python/03_devtools_extracting_data.md @@ -77,7 +77,7 @@ In the next lesson, we'll start with our Python project. First we'll be figuring -### Locate the top Movies wiki on Fandom +### Extract the name of the top wiki on Fandom Movies On Fandom's [Movies page](https://www.fandom.com/topics/movies), use CSS selectors and HTML elements manipulation in the **Console** to extract the name of the top wiki. Use JavaScript's [`trim()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/trim) method to remove white space from around the name. @@ -96,3 +96,23 @@ On Fandom's [Movies page](https://www.fandom.com/topics/movies), use CSS selecto 1. At the time of writing, this returns `"Pixar Wiki"`. + + +### Extract the price of IKEA's most expensive artificial plant + +At IKEA's [Artificial plants & flowers listing](https://www.ikea.com/se/en/cat/artificial-plants-flowers-20492/), use CSS selectors, and HTML elements manipulation in the **Console** to extract the price of the most expensive artificial plant (sold in Sweden, as we'll be browsing their Swedish offer). Before opening DevTools, use your wits to set the page to a state which is most favorable for you to complete the task with the least effort. In the end, use JavaScript's [`parseInt()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/parseInt) to turn the text to a number. + +