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extractkit-1.0.1
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مشاهده بیشتر
تبلیغات ما
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مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
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مشاهده بیشترتوضیحات
A Easy Scrapper for scrapping essential data from web (Like Price of car, bike, mobiles, and flipkart, and PC Building components)
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | extractkit-1.0.1 |
| نام | extractkit |
| نسخه کتابخانه | 1.0.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Karthik Raja, Vignesh R |
| ایمیل نویسنده | teampcbuild01@gmail.com |
| آدرس صفحه اصلی | https://github.com/coders-square/ExtractKit |
| آدرس اینترنتی | https://pypi.org/project/extractkit/ |
| مجوز | - |
<h1 align="center">ExtractKit</h1>
### what is this??
This is a Easy Scrapper for scrapping essential data from web
## What can it Scrape?
* **[Price and Key Specs of car](#scrap-car-data)**
* **[Price and Key Specs of bike](#scrap-bike-data)**,
* **[Price and specs of mobiles](#scrap-mobile-specifications)**
* **[Scrap Flipkart](#scrap-flipkart)**
* **[Scrap Price and details of PC Building components](#scrap-pc-components)**
* **[Scrap Live News and other Archived News](#scrap-news-data)**
## How to use this??
So simple!! Just go and type
```
pip install extractkit
```
Bam!! You just installed a great scraping tool
## How to use in python??
import ExtractKit as ekit #or whatever
## Detailed documentation
### Scrap Car Data
This scrapes car specification from [Carwale Website](https://www.carwale.com/)
To Scrap car Specification,
from ExtractKit import carExtractor as car
data = car.extractCar('hyundai',"creta")
print(data)
#### extractCar(brand, model),
**Parameters,**
**brand** - string data type, enter the brand name of the car you want to search
**model** - string data type, enter the model name of the car you want to search
Result Data Looks like this:
```
{
'product': 'Hyundai Creta',
'price': '₹ 10.00 Lakh'
}
```
### Scrap Bike Data
This scrapes bike specification from [Bikewale Website](https://www.bikewale.com/)
To Scrap Bike Specification,
from ExtractKit import bikeExtractor as bike
data = bike.extractBike('yamaha',"R15")
print(data)
#### extractBike(brand, model)
**Parameters,**
**brand** - string data type, enter the brand name of the bike you want to search
**model** - string data type, enter the model name of the bike you want to search
Result Data Looks like this:
```
{
"product": "Yamaha YZF R15 V3",
"price": "1,55,334",
"Engine Capacity": "155 cc",
"Mileage": "43 kmpl",
"Transmission": "6 Speed Manual ",
"Kerb Weight": "142 kg",
"Fuel Tank Capacity": "11 litres",
"Seat Height": "815 mm"
}
```
### Scrap Mobile Specifications
This scraps data from [91 Mobiles Website](https://www.91mobiles.com/)
from ExtractKit import gadgetsExtractor as gadgets
x = gadgets.extractMobile('samsung','galaxy a52')
print(x)
In extractMobile(brand, model),
* Brand and model must be passed as string
Result data looks like this:
```
{
"name": "Samsung Galaxy A52",
"price": " 23,499",
"variants": [
"128GB Storage, 8GB RAM\n"
],
"specs": [
[
"RAM","6GB"
],
[
"Processor","QualcommSnapdragon720G"
],
[
"Rear Camera","64MP+12MP+5MP+5MP"
],
[
"Front Camera","32MP"
],
[
"Battery","4500mAh"
],
[...],
.
.
.
[...]
]
}
```
### Scrap Flipkart
This Scraps data from [flipkart.com](https://flipkart.com)
To Scrap Flipkart products,
from ExtractKit import flipkartExtractor as flipkart
x = flipkart.extractFlipkart('XBOX Series S')
print(x)
In extractFlipkart(product),
* It must be a valid product.
* Product must be in string format.
Result data looks like this:
```
{
"product": "MICROSOFT Xbox Series S 512 GB\u00a0\u00a0(White)",
"price": "\u20b934,990",
"url": "https://www.flipkart.com/microsoft-xbox-series-s-512-gb/p/itm13c51f9047da8?pid=GMCFVPFCNHHZQBNA&lid=LSTGMCFVPFCNHHZQBNAH2FMXL&marketplace=FLIPKART&q=XBOX+Series+S&store=4rr&srno=s_1_1&otracker=search&fm=organic&iid=a98ea799-22c1-440d-b211-9835eb1790eb.GMCFVPFCNHHZQBNA.SEARCH&ppt=None&ppn=None&ssid=l55b2xbdfk0000001625828211339&qH=fd75188725591a70"
}
```
You can also use extractFlipkartUrl(url) to scrap data from the given flipkart link
from ExtractKit import flipkartExtractor as flipkart
x = flipkart.extractFlipkartUrl('https://www.flipkart.com/cyberpunk-2077-limited-edition/p/itm6e7fc6515a3b3?pid=GAMG2Z8UGZHTYHAF&lid=LSTGAMG2Z8UGZHTYHAFHTIMQD&marketplace=FLIPKART&q=cyberpunk+2077&store=4rr%2Ffa6%2F27p%2Fmtr&spotlightTagId=TrendingId_4rr%2Ffa6%2F27p%2Fmtr&srno=s_1_1&otracker=AS_QueryStore_OrganicAutoSuggest_2_9_na_na_na&otracker1=AS_QueryStore_OrganicAutoSuggest_2_9_na_na_na&fm=SEARCH&iid=0fa0a337-bb8d-4126-9fe6-9421bcbdb3ee.GAMG2Z8UGZHTYHAF.SEARCH&ppt=sp&ppn=sp&ssid=rg6sh1i72o0000001625828417574&qH=65fc51bd3f81e7c2')
print(x)
The result for this function is:
```
{
"product": "Cyberpunk 2077 (Limited Edition) (for PS4)",
"price": "₹2,899"
}
```
### Scrap PC Components
This Scraps data from [PC Studio](https://www.pcstudio.in/)
To Scrap PC Components,
from ExtractKit import pcBuildExtractor as pcBuild
x = pcBuild.extractProcessors()
print(x)
Result data looks like this:
```
{
"0": {
"title": "AMD RYZEN 3 3200G OPEN BOX OEM PROCESSOR WITH RX VEGA 8 GRAPHICS (UP TO 4.0GHZ 6 MB CACHE) ",
"price": "\u20b911,300.00",
"details": "https://www.pcstudio.in/product/amd-ryzen-3-3200g-open-box-oem-processor-with-rx-vega-8-graphics-up-to-4-0ghz-6-mb-cache/",
"img": "https://www.pcstudio.in/wp-content/uploads/2021/07/AMD-RYZEN-3-3200G-OPEN-BOX-OEM-PROCESSOR-WITH-RX-VEGA-8-GRAPHICS-1.jpg"
},
"1":{...},
"2":{...},
}
```
other functions available are:
print(pcBuild.extractProcessors()) #Extract Processors Data
print(extractMotherboards()) #Extract Motherboard Data
print(extractRams()) #Extract RAM Data
print(extractStorage1()) #Extract Storages Data
print(extractStorage2()) #Extract Storages Data too
print(extractCabinets()) #Extract Cabinet Data
print(extractCoolers()) #Extract Coolers Data
print(extractGPUs()) #Extract GPU Data
print(extractPowerSupplys()) #Extract PowerSupplyUnit Data
print(extractDisplays()) #Extract Display Data
### Scrap News Data
This scraps live and archive news data from [One India News](https://oneindia.com)
To Scrap news,
from ExtractKit import newsExtractor as news
data = news.extractNewsArchives('english',2021,7,1)
print(data)
**Parameters,**
**language** - string data type, enter the language in which you want to search
**Avaliable Languages are**
* tamil
* telugu
* malayalam
* bengali
* gujarati
* hindi
* kannada
**year** - integer data type, enter the year in which you want to search
**month** - integer data type, enter the month in which you want to search
**date** - integer data type, enter the date in which you want to search
Result Data Looks like this:
```
{
"language": "english",
"1": {
"category": "bengaluru",
"news": "No interviews to fill up vacancies to post of assistant professors, principles in Karnataka\u2019s higher education"
},
"2":{...},
"3":{...},
....
```
## Credits
<p align="left">
<b>Karthik Raja K</b>  
<a href="https://instagram.com/mr.anonymous_official" target="blank"><img width=25 align="center" src="https://img.icons8.com/doodle/50/000000/instagram-new.png"/></a>
<a href="https://github.com/mr-anonymous-official/" target="blank"><img width=25 align="center" src="https://img.icons8.com/doodle/50/000000/github.png"/></a>
<a href="https://www.linkedin.com/in/karthikraja01/" target="blank"><img width=25 align="center" src="https://img.icons8.com/doodle/48/000000/linkedin--v2.png"/></a>
</p>
<p align="left">
<b>Vignesh R</b>    
<a href="https://instagram.com/vignesh_r_" target="blank"><img width=25 align="center" src="https://img.icons8.com/doodle/50/000000/instagram-new.png"/></a>
<a href="https://github.com/codervignesh/" target="blank"><img width=25 align="center" src="https://img.icons8.com/doodle/50/000000/github.png"/></a>
<a href="https://www.linkedin.com/in/vignesh-r-/" target="blank"><img width=25 align="center" src="https://img.icons8.com/doodle/48/000000/linkedin--v2.png"/></a>
</p>
<br/>
### Source Code Available in [Github](https://github.com/coders-square/ExtractKit)
نیازمندی
| مقدار | نام |
|---|---|
| - | beautifulsoup4 |
| - | requests |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.5 | Python |
نحوه نصب
نصب پکیج whl extractkit-1.0.1:
pip install extractkit-1.0.1.whl
نصب پکیج tar.gz extractkit-1.0.1:
pip install extractkit-1.0.1.tar.gz