semvec/pypi-packages huggingface dataset:
linkedin-auto-follow-company 1.0.0
A python library to follow company on linkedin automatically.
License: Apache License 2.0
Keywords: linkedin python bot_studio automation follow company login

Linkedin-Auto-Follow-Company is a python library to follow a company on linkedin using browser automation. 
It currently runs only on windows.

### Example
In this example we first import library, then we login with cookies and then follow company.
```sh
from linkedin_auto_follow_company import *
true=True;false=False
list_of_cookies=[
{
    "domain": ".linkedin.com",
    "expirationDate": 1676463230,
    "hostOnly": false,
    "httpOnly": false,
    "name": "_ga",
    "path": "/",
    "sameSite": "unspecified",
    "secure": false,
    "session": false,
    "storeId": "0",
    "value": "GA1.2.1029585723.1610264105",
    "id": 1
}]
#please replace the above sample cookies with your cookies, can see below link of how to fetch cookies
linkedin.login_cookie(cookies=list_of_cookies)
linkedin.follow_company(company_link='https://www.linkedin.com/company/microsoft/')
```

This module depends on the following python modules
* [requests](https://pypi.org/project/requests/)
* [bot_studio](https://pypi.org/project/bot_studio/)

#### BotStudio
[bot_studio](https://pypi.org/project/bot_studio/) is needed for browser automation. As soon as this library is imported in code, automated browser will open up. Complete documentation for Linkedin Automation available [here](https://linkedin-api.datakund.com/en/latest/)

### Installation

```sh
pip install linkedin-auto-follow-company
```

### Import
```sh
from linkedin_auto_follow_company import *
```

### Login with credentials
```sh
linkedin.login(username="linkedin username",password="linkedin password")
```

### Login with cookies
```sh
linkedin.login_cookie(cookies=list_of_cookies)
```

### Follow Company
```sh
linkedin.follow_company(company_link='company_link')
```

### Send Feedback to Developers
```sh
bot_studio.send_feedback(feedback="Need help with this ......")
```

### Cookies
To login with cookies [Edit this Cookie Extension](https://chrome.google.com/webstore/detail/editthiscookie/fngmhnnpilhplaeedifhccceomclgfbg?hl=en) can be added to browser. Please check [this](https://abhishek-chaudhary.medium.com/how-to-get-cookies-of-any-website-from-browser-22b3d6348ed2) link how to get cookies to login to your linkedin.

### Contact Us
* [Telegram](https://t.me/datakund)
* [Website](https://datakund.com)
linkedin-auto-post 1.0.0
A python library to upload or post content on linkedin automatically.
License: Apache License 2.0
Keywords: linkedin python bot_studio automation content upload login post

Linkedin-Auto-Post is a python library to post content on linkedin using browser automation. 
It currently runs only on windows.

### Example
In this example we first import library, then we login with cookies and then post content on linkedin.
```sh
from linkedin_auto_post import *
true=True;false=False
list_of_cookies=[
{
    "domain": ".linkedin.com",
    "expirationDate": 1676463230,
    "hostOnly": false,
    "httpOnly": false,
    "name": "_ga",
    "path": "/",
    "sameSite": "unspecified",
    "secure": false,
    "session": false,
    "storeId": "0",
    "value": "GA1.2.1029585723.1610264105",
    "id": 1
}]
#please replace the above sample cookies with your cookies, can see below link of how to fetch cookies
linkedin.login_cookie(cookies=list_of_cookies)
linkedin.upload_content(content='Hi everyone, i am looking for following profiles...')
```

This module depends on the following python modules
* [requests](https://pypi.org/project/requests/)
* [bot_studio](https://pypi.org/project/bot_studio/)

#### BotStudio
[bot_studio](https://pypi.org/project/bot_studio/) is needed for browser automation. As soon as this library is imported in code, automated browser will open up. Complete documentation for Linkedin Automation available [here](https://linkedin-api.datakund.com/en/latest/)

### Installation

```sh
pip install linkedin-auto-post
```

### Import
```sh
from linkedin_auto_post import *
```

### Login with credentials
```sh
linkedin.login(username="linkedin username",password="linkedin password")
```

### Login with cookies
```sh
linkedin.login_cookie(cookies=list_of_cookies)
```

### Upload content 
```sh
linkedin.upload_content(content='content')
```

### Send Feedback to Developers
```sh
bot_studio.send_feedback(feedback="Need help with this ......")
```

### Cookies
To login with cookies [Edit this Cookie Extension](https://chrome.google.com/webstore/detail/editthiscookie/fngmhnnpilhplaeedifhccceomclgfbg?hl=en) can be added to browser. Please check [this](https://abhishek-chaudhary.medium.com/how-to-get-cookies-of-any-website-from-browser-22b3d6348ed2) link how to get cookies to login to your linkedin.

### Contact Us
* [Telegram](https://t.me/datakund)
* [Website](https://datakund.com)
linkedin-company-scraper-python 1.0.0
A python library to scrape company profile data from linkedin automatically.
License: Apache License 2.0
Keywords: linkedin python bot_studio scraper company profile data web-scraping

Linkedin-Company-Scraper-Python is a python library to scrape company profile data on linkedin using browser automation. 
It currently runs only on windows.

### Example
In this example we first import library, then we login with cookies and then scraped profile data of company.
```sh
from linkedin_company_scraper_python import *
true=True;false=False
list_of_cookies=[
{
    "domain": ".linkedin.com",
    "expirationDate": 1676463230,
    "hostOnly": false,
    "httpOnly": false,
    "name": "_ga",
    "path": "/",
    "sameSite": "unspecified",
    "secure": false,
    "session": false,
    "storeId": "0",
    "value": "GA1.2.1029585723.1610264105",
    "id": 1
}]
#please replace the above sample cookies with your cookies, can see below link of how to fetch cookies
linkedin.login_cookie(cookies=list_of_cookies)
response=linkedin.get_company_profile(company_link='https://www.linkedin.com/company/microsoft/about/')
data=response["body"]
```

This module depends on the following python modules
* [requests](https://pypi.org/project/requests/)
* [bot_studio](https://pypi.org/project/bot_studio/)

#### BotStudio
[bot_studio](https://pypi.org/project/bot_studio/) is needed for browser automation. As soon as this library is imported in code, automated browser will open up. Complete documentation for Linkedin Automation available [here](https://linkedin-api.datakund.com/en/latest/)

### Installation

```sh
pip install linkedin-company-scraper-python
```

### Import
```sh
from linkedin_company_scraper_python import *
```

### Login with credentials
```sh
linkedin.login(username="linkedin username",password="linkedin password")
```

### Login with cookies
```sh
linkedin.login_cookie(cookies=list_of_cookies)
```

### Get company profile data
```sh
response=linkedin.get_company_profile(company_link='company link')
```

### Send Feedback to Developers
```sh
bot_studio.send_feedback(feedback="Need help with this ......")
```

### Cookies
To login with cookies [Edit this Cookie Extension](https://chrome.google.com/webstore/detail/editthiscookie/fngmhnnpilhplaeedifhccceomclgfbg?hl=en) can be added to browser. Please check [this](https://abhishek-chaudhary.medium.com/how-to-get-cookies-of-any-website-from-browser-22b3d6348ed2) link how to get cookies to login to your linkedin.
### Contact Us
* [Telegram](https://t.me/datakund)
* [Website](https://datakund.com)
linkedin-auto-comment 1.0.0
A python library to auto comment on post on linkedin.
License: Apache License 2.0
Keywords: linkedin python bot_studio automation comment post login

Linkedin-Auto-Comment is a python library to comment on linkedin post using browser automation. 
It currently runs only on windows.

### Example
In this example we first import library, then we login with cookies and then posted a comment on linkedin.
```sh
from linkedin_auto_comment import *
true=True;false=False
list_of_cookies=[
{
    "domain": ".linkedin.com",
    "expirationDate": 1676463230,
    "hostOnly": false,
    "httpOnly": false,
    "name": "_ga",
    "path": "/",
    "sameSite": "unspecified",
    "secure": false,
    "session": false,
    "storeId": "0",
    "value": "GA1.2.1029585723.1610264105",
    "id": 1
}]
#please replace the above sample cookies with your cookies, can see below link of how to fetch cookies
linkedin.login_cookie(cookies=list_of_cookies)
post_link="https://www.linkedin.com/posts/er-chirag-grover-290918101_help-androiddevelopment-flutterappdevelopment-activity-6766960247794937856-2jh3"
linkedin.comment_on_post(post_link=post_link, comment='Please share your resume here abc@gmail.com')
```

This module depends on the following python modules
* [requests](https://pypi.org/project/requests/)
* [bot_studio](https://pypi.org/project/bot_studio/)

#### BotStudio
[bot_studio](https://pypi.org/project/bot_studio/) is needed for browser automation. As soon as this library is imported in code, automated browser will open up. Complete documentation for Linkedin Automation available [here](https://linkedin-api.datakund.com/en/latest/)

### Installation

```sh
pip install linkedin-auto-comment
```

### Import
```sh
from linkedin_auto_comment import *
```

### Login with credentials
```sh
linkedin.login(username="linkedin username",password="linkedin password")
```

### Login with cookies
```sh
linkedin.login_cookie(cookies=list_of_cookies)
```

### Post comment
```sh
linkedin.comment_on_post(post_link='post link', comment='comment text')
```

### Send Feedback to Developers
```sh
bot_studio.send_feedback(feedback="Need help with this ......")
```

### Cookies
To login with cookies [Edit this Cookie Extension](https://chrome.google.com/webstore/detail/editthiscookie/fngmhnnpilhplaeedifhccceomclgfbg?hl=en) can be added to browser. Please check [this](https://abhishek-chaudhary.medium.com/how-to-get-cookies-of-any-website-from-browser-22b3d6348ed2) link how to get cookies to login to your linkedin.
### Contact Us
* [Telegram](https://t.me/datakund)
* [Website](https://datakund.com)
amazon-product-reviews-scraper 1.0.1
A python library to scrape product reviews data automatically on amazon.
License: Apache License 2.0
Keywords: amazon python bot_studio scraper reviews product data web-scraping

Amazon-Product-Reviews-Scraper is a python library to get product reviews on amazon automatically using browser automation. 
It currently runs only on windows.

### Example
In this example we first import library, then we will open the product reviews and fetch them.
```sh
from amazon_product_reviews_scraper import *
amazon.open("https://www.amazon.in/Intellilens%C2%AE-Spectacles-Anti-glare-Protection-Computer/product-reviews/B07JCKYCJ1/ref=cm_cr_dp_d_show_all_btm?ie=UTF8&reviewerType=all_reviews") # product reviews link

for i in range(0,5):
	response=amazon.get_reviews()
	data=response['body']
	amazon.click_next_reviews() # clicks on next button
#data=[{"Stars": "5", "Review Link": "https://www.amazon.in/gp/customer-reviews/R2X17YCIE6PP8O/ref=cm_cr_arp_d_rvw_ttl?ie=UTF8&ASIN=B07JCKYCJ1", "Review": " Brilliant!! A must buy"},{},...]
```

This module depends on the following python modules
* [requests](https://pypi.org/project/requests/)
* [bot_studio](https://pypi.org/project/bot_studio/)

#### BotStudio
[bot_studio](https://pypi.org/project/bot_studio/) is needed for browser automation. As soon as this library is imported in code, automated browser will open up in which product reviews will be opened.

Complete documentation for Amazon Automation available [here](https://amazon-api.datakund.com/en/latest/)

### Installation

```sh
pip install amazon-product-reviews-scraper
```

### Import
```sh
from amazon_product_reviews_scraper import *
```

### Open reviews
```sh
response=amazon.open("reviews link")
```

### Get reviews
```sh
response=amazon.get_reviews()
```

### Move to next page of reviews
```sh
amazon.click_next_reviews()
```

### Send Feedback to Developers
```sh
bot_studio.send_feedback(feedback="Need help with this ......")
```

### Contact Us
* [Telegram](https://t.me/datakund)
* [Website](https://datakund.com)
google-search-scraper-python 1.0.0
A python library to search keyword on google and scrape search results data.
License: Apache License 2.0
Keywords: google python bot_studio scraper web-scraping search-results search keyword

Google-Search-Scraper-Python is a python library to search keyword on google and fetch search results using browser automation. 
It currently runs only on windows.

### Example 1
In this example we first import library, then we search a keyword and fetched results.
```sh
from google_search_scraper_python import *
google.search(keyword="shoes")
for i in range(0,5):
	response=google.search_results()
	data=response["body"]
	google.click_next() #click on next page to get next page's results
#data=[{"Title": "Buy Shoes for Men, Women & Kids online in India - Myntra", "Link": "https://www.myntra.com/shoes", "Desc": "Shoes Online- Shop shoes online for Men, Women & Kids at 40% Discount .Sh..."}]
```

### Example 2
In this example we first import library, then we search a keyword in images and fetched results.
```sh
from google_search_scraper_python import *
google.search_images(keyword="shoes")
for i in range(0,5):
	response=google.search_image_results()
	data=response["body"]
	google.scroll()
#data=[{"Title": "Buy Black Casual Shoes fo", "Link": "https://www.google.com/imgres?imgurl=https%3A%2F%2Fassets.ajio.com%2Fmedias%2Fsys_master%2Froot%2Fajio%2Fcatalog%2F5ef38fcbf997dd433b43d714%2F-473Wx593H-461205998-black-MODEL.jpg&imgrefurl=https%3A%2F%2Fwww.ajio.com%2Fblacktown-textured-flat-slip-on-shoes%2Fp%2F461205998_black&tbnid=lWWwbMTML4XPQM&vet=12ahUKEwjzjNiH7uvuAhXBnksFHa3WCzUQMygAegUIARDQAg..i&docid=jgk8GUwyM_PM0M&w=473&h=593&q=shoes&ved=2ahUKEwjzjNiH7uvuAhXBnksFHa3WCzUQMygAegUIARDQAg","ImageLink":""}]
```

This module depends on the following python modules
* [requests](https://pypi.org/project/requests/)
* [bot_studio](https://pypi.org/project/bot_studio/)

#### BotStudio
[bot_studio](https://pypi.org/project/bot_studio/) is needed for browser automation. As soon as this library is imported in code, automated browser will open up in which search will be done.

Complete documentation for Google Automation available [here](https://google-api.datakund.com/en/latest/)

### Installation

```sh
pip install google-search-scraper-python
```

### Import
```sh
from google_search_scraper_python import *
```

### Search a keyword
```sh
google.search(keyword="shoes")
```

### Search a keyword on images
```sh
google.search_images(keyword="shoes")
```

### Get search results
```sh
response=google.search_results()
```

### Get search image results
```sh
response=google.search_image_results()
```

### Click on next page
```sh
google.click_next()
```

### Send Feedback to Developers
```sh
bot_studio.send_feedback(feedback="Need help with this ......")
```

### Contact Us
* [Telegram](https://t.me/datakund)
* [Website](https://datakund.com)