Metadata-Version: 2.1
Name: microsoft-scraper
Version: 1.0.0
Summary: Web Scraping Library
Home-page: UNKNOWN
Author: DataKund
Author-email: datakund@gmail.com
License: Apache License 2.0
Platform: UNKNOWN
Description-Content-Type: text/markdown
License-File: LICENSE

###Title

microsoft.com Scraper

###Descrption

* With microsoft.com Scraper you can scrape search results and extract the contents produced by the search result.
* In microsoft.com scraper it will scrape the data present of the website and give json data which contains the details of the contents on the website.

### JSON sample data
```sh
{
    "Scraper_Surface": [
        {
            "content": "Protect your Surface",
            "link_0": "https://www.microsoft.com/en-gb/store/b/microsoft-complete",
            "See_new_link": "https://www.microsoft.com/windows/windows-11",
            "call_action_glyph": "See what's new",
            "heading": "Now with Windows 11, get closer to what you love",
            "paragraph": "Family, friends, passions, music, creations\u2014Windows 11\u00a0is the one place for it all6. With a fresh new feel and tools that make it easier to be efficient, it has what you need for whatever\u2019s next."
        }
```

[Click Here for more](https://datakund-scraper.s3.amazonaws.com/datakund_CXQCO4TVNOX4PSR_json.json)

### Run Scraper
```sh
from microsoft_scraper import *
link="https://www.microsoft.com/en-gb/d/surface-pro-x/8XTMB6C575MD"
data=run_microsoft_scraper(link)
```

### How it works?
* It takes URL of microsoft page with a search keyword to scrape the data.
* It generates the json data which contains the information of the microsoft.com search result.
* It gives the every detail present inside website in the form of json data.


### Examples
Below are some of the examples of URLs using which you can scrape:

* [Example 1](https://www.microsoft.com/en-gb/d/surface-pro-x/8XTMB6C575MD)

* [Example2](https://www.microsoft.com/en-gb/d/surface-go-3/904H27D0CBWN)


### Queries/ Feedback
If you have some queries or feedback please contact us at following    
[Telegram](https://t.me/datakund)  
[Email](abhishek@datakund.com)











