semvec/pypi-packages huggingface dataset:
gome-scraper 1.0.1
Gome scraper
License: Apache License 2.0

### Title

Gome Scraper

### Descrption

* With gome Scraper you can scrape search results and extract the contents produced by the search result.
* In gome scraper it will scrape the data present of the website and give json data which contains the details of the contents on the website.
* The gome scraper will have all the data from the website such as link of the items inside website, text related to link etc.

### JSON sample data
```sh
{
    "Scraper_repeat_data_0": [
        {
            "column_8": [
                {
                    "link": "//item.gome.com.cn/9140059322-1130765898.html",
                    "text": "   \u7c73\u5bb6\u58f0\u6ce2\u7535\u52a8\u7259\u5237T100  \u5475\u62a4\u7259\u9f88 IPX7\u9632\u6c34 \uffe535.00 \u7acb\u5373\u8d2d\u4e70  "
                },
                {
                    "link": "//item.gome.com.cn/9140056902-1130548362.html",
                    "text": "   \u5c0f\u7c73AI\u97f3\u7bb1 \u4eba\u5de5\u667a\u80fd\u97f3\u54cd \uffe5176.00 \u7acb\u5373\u8d2d\u4e70  "
                }
```

[Download full sample data](https://datakund-scraper.s3.amazonaws.com/datakund_DS3NEMP9REWJT0H_json.json)

### Run Scraper
```sh
from gome_scraper import *
link="https://prom.gome.com.cn/html/prodhtml/topics/201808/31/4889195497.html?intcmp=sy-1000060873-5"
data=run_gome_scraper(link)
```

### How it works?
* It takes URL of gome page with a search keyword to scrape the data.
* It generates the json data which contains the information of the gome search result.


### Examples
Below are some of the examples of URLs using which you can scrape:

* [Example 1](https://prom.gome.com.cn/html/prodhtml/topics/201709/18/7456103420.html?intcmp=sy-1000060873-1)

* [Example2](https://prom.gome.com.cn/html/prodhtml/topics/201808/31/4889195497.html?intcmp=sy-1000060873-5)


### Queries/ Feedback
If you have some queries or feedback please contact us at following    
[Telegram](https://t.me/datakund)  
[Email](abhishek@datakund.com)
freepik-scraper 1.0.1
Freepik scraper
License: Apache License 2.0

### Title

Freepik Scraper

### Descrption

* With freepik Scraper you can scrape search results and extract the contents produced by the search result.
* In freepik scraper it will scrape the data present of the website and give json data which contains the details of the contents on the website.
* The freepik scraper will have the information such as title of image, image, download icon etc.
 
### JSON sample data
```sh
{
    "Scraper_You_may_also_like": [
        {
            "badge_download_icon": "57",
            "photo": "5",
            "title": "Breathtaking road surrounded by beautiful and colorful autumn trees"
        }
```

[Download full sample data](https://datakund-scraper.s3.amazonaws.com/datakund_C55VFAB7YAYM7DK_json.json)

### Run Scraper
```sh
from freepik_scraper import *
link="https://www.freepik.com/premium-photo/aerial-view-cars-driving-asphalt-road-leafless-forest-cinematic-drone-shot-flying-straight-freeway-mountains_15954953.htm#page=1&position=3&from_view=collections"
data=run_freepik_scraper(link)
```

### How it works?
* It takes URL of freepik page with a search keyword to scrape the data.
* It generates the json data which contains the information of the freepik search result.


### Examples
Below are some of the examples of URLs using which you can scrape:

* [Example 1](https://www.freepik.com/free-photo/empty-road-tall-trees-forest-during-daylight-autumn_10809719.htm#page=1&position=2&from_view=collections)

* [Example2](https://www.freepik.com/premium-photo/aerial-view-cars-driving-asphalt-road-leafless-forest-cinematic-drone-shot-flying-straight-freeway-mountains_15954953.htm#page=1&position=3&from_view=collections)


### Queries/ Feedback
If you have some queries or feedback please contact us at following    
[Telegram](https://t.me/datakund)  
[Email](abhishek@datakund.com)
sohu-scraper 1.0.3
Sohu scraper
License: Apache License 2.0

### Title

Sohu.com Scraper

### Descrption

* With Sohu.com Scraper you can scrape search results and extract the contents produced by the search result.
* In Sohu scraper it will scrape the data present of the website and give json data which contains the details of the contents on the website.
* The Sohu.com scraper will contain the information of profile link, feed publish, title etc.

### JSON sample data
```sh
{
    "Scraper_\u9999\u6e2f\u9762\u5411\u5185\u5730\u5f15\u8fdb\u4eba\u624d_\u7b26\u5408\u6761\u4ef6\u53ef\u7533\u8bf7\u9999\u6e2f\u8eab\u4efd": [
        {
            "blank": "\u65b0\u4eac\u62a5",
            "feed_four_title_style_link": "https://www.sohu.com/a/499810521_114988?scm=1004.773955565398458368.0.0.672&spm=smpc.ch13.fd-news.1.1636356674692YG6AwTs",
            "feed_publish": "\u4eca\u5929 04:28",
            "feed_visited_theme_history_color_hover": "\u4eac\u534e\u7269\u8bed\u4e28\u57281920\u5e74\u4ee3\u7684\u5317\u4eac\uff0c\u4eba\u529b\u8f66\u771f\u53ef\u8c13\u516c\u5171\u5947\u666f",
            "profile_link": "http://mp.sohu.com/profile?xpt=c29odXptdDNqdHpnY0Bzb2h1LmNvbQ==&spm=smpc.ch13.fd-news.1.1636356674692YG6AwTs"
        }
```

[Download full sample data](https://datakundscraper.s3.amazonaws.com/fors2d22ace_VKDU2XN03IQ3VD7_json.json)

### Run Scraper
```sh
from sohu_scraper import *
link="http://history.sohu.com/?spm=smpc.home.history-nav.1.1633101794696TEciRMP"
data=run_sohu_scraper(link)
```

### How it works?
* It takes URL of Sohu page with a search keyword to scrape the data.
* It generates the json data which contains the information of the sohu search result.


### Examples
Below are some of the examples of URLs using which you can scrape:

* [Example 1](http://history.sohu.com/?spm=smpc.home.history-nav.1.1633101794696TEciRMP)

* [Example2](http://cul.sohu.com/?spm=smpc.home.cul-nav.1.1633101794696TEciRMP)


### Queries/ Feedback
If you have some queries or feedback please contact us at following    
[Telegram](https://t.me/datakund)  
[Email](abhishek@datakund.com)