fix: a few small fixes in both Python and JS courses for beginners (#1877)

A mixed bag of indentation, wording, etc.

Author: honzajavorek

sources/academy/webscraping/scraping_basics_javascript2/13_platform.md

@@ -231,8 +231,8 @@ Now let's connect this file to the actor configuration. In `actor.json`, we'll a
   "version": "0.0",
   "buildTag": "latest",
   "environmentVariables": {},
-    // highlight-next-line
-    "input": "./inputSchema.json"
+  // highlight-next-line
+  "input": "./inputSchema.json"
 }
 ```
 

sources/academy/webscraping/scraping_basics_python/08_saving_data.md

@@ -65,7 +65,7 @@ for product in soup.select(".product-item"):
 print(data)
 ```
 
-Before looping over the products, we prepare an empty list. Then, instead of printing each line, we append the data of each product to the list in the form of a Python dictionary. At the end of the program, we print the entire list at once.
+Before looping over the products, we prepare an empty list. Then, instead of printing each line, we append the data of each product to the list in the form of a Python dictionary. At the end of the program, we print the entire list. The program should now print the results as a single large Python list:
 
 ```text
 $ python main.py

sources/academy/webscraping/scraping_basics_python/09_getting_links.md

@@ -111,7 +111,7 @@ def parse_product(product):
     return {"title": title, "min_price": min_price, "price": price}
 ```
 
-Now the JSON export. For better readability of it, let's make a small change here and set the indentation level to two spaces:
+Now the JSON export. For better readability, let's make a small change here and set the indentation level to two spaces:
 
 ```py
 def export_json(file, data):

sources/academy/webscraping/scraping_basics_python/10_crawling.md

@@ -120,7 +120,7 @@ Depending on what's valuable for our use case, we can now use the same technique
 It looks like using a CSS selector to locate the element with the `product-meta__vendor` class, and then extracting its text, should be enough to get the vendor name as a string:
 
 ```py
-vendor = product_soup.select_one(".product-meta__vendor").text.strip()
+vendor = soup.select_one(".product-meta__vendor").text.strip()
 ```
 
 But where do we put this line in our program?
@@ -130,8 +130,6 @@ But where do we put this line in our program?
 In the `data` loop we're already going through all the products. Let's expand it to include downloading the product detail page, parsing it, extracting the vendor's name, and adding it as a new key in the item's dictionary:
 
 ```py
-...
-
 listing_url = "https://warehouse-theme-metal.myshopify.com/collections/sales"
 listing_soup = download(listing_url)
 
@@ -143,8 +141,6 @@ for product in listing_soup.select(".product-item"):
     # highlight-next-line
     item["vendor"] = product_soup.select_one(".product-meta__vendor").text.strip()
     data.append(item)
-
-...
 ```
 
 If we run the program now, it'll take longer to finish since it's making 24 more HTTP requests. But in the end, it should produce exports with a new field containing the vendor's name:
@@ -172,7 +168,7 @@ If we run the program now, it'll take longer to finish since it's making 24 more
 
 ## Extracting price
 
-Scraping the vendor's name is nice, but the main reason we started checking the detail pages in the first place was to figure out how to get a price for each product. From the product listing, we could only scrape the min price, and remember—we’re building a Python app to track prices!
+Scraping the vendor's name is nice, but the main reason we started checking the detail pages in the first place was to figure out how to get a price for each product. From the product listing, we could only scrape the min price, and remember—we're building a Python app to track prices!
 
 Looking at the [Sony XBR-950G BRAVIA](https://warehouse-theme-metal.myshopify.com/products/sony-xbr-65x950g-65-class-64-5-diag-bravia-4k-hdr-ultra-hd-tv), it's clear that the listing only shows min prices, because some products have variants, each with a different price. And different stock availability. And different SKUs…