semvec/pypi-packages huggingface dataset:
scrapperSv 1.0.6
Scrapping altnews|Google images|Instagram|facebook|Twitter|Tradingview chartImage
License: MIT
Requires Python: >=3.6

# Scrapping

1 Altnews.com scrapping
2 Google Image Scrapping 
3 Instagram user profile scrapping based on username
4 Instagram single post scrapping based on link
5 Facebook post scrapping based on postlink
6 Twitter post scrapping based on link
7 Tradingview chart image scrapping
8 Whatsapp messaging using whatsappweb 

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 1 ALTNEWS

 This is a Indian fact news checking site. this package is helpful to scrape all data and create a dataframe 
 of every article which is available on site .
  data includes:
	Text
	Author name
	Date
	Title
	Link
***************************************************************
2 Google Image Downloader

 In this module you can scrape all images based on given image name . Basically it takes a few minutes to scrape all imaes . it iterates 
  over all image sub categories and scrape them . This is very useful for making dataset of difficult images dataset .
	Required only name of image 

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3 Instagram user profile scrapping

  Scrape a whole user profile images based on instagram userid just need userid .

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4 Scrapping instagram posts

This is helpful to scrape data related to a instagram post . shared link of post.

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5 Scrapping Facebook post

This is related to scrape post of the faceebook based on shared link of facebook post .

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6 Scrapping Twitter post

 Just get the shareable link of twitter post . Use that as a url to the function and it will return data related to posts .

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7 Scrapping trading view image chart

  This is to save image of the tradingview chart based on symbol,timeinterval . THis is helpful to make dataset for trading projects .

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8 Whatsapp messaging

  Here we can send messages to existing friends in the user accout . This is based on whatsapp web . Just need to scan whatsapp QR code and start to message to the friends . You can send a messages n no. of times .
 Ex:
     target='varsha'
     message='Hi'
     n=10
 Then it will send message Hi 10 times to varsha .
mimesis-factory 1.2.0
Mimesis integration with factory_boy
License: MIT
Requires Python: >=3.6,<4.0
Keywords: mimesis,factory_boy,testing,fixtures,fake data,fabric,factory

## mimesis_factory

[![Build Status](https://travis-ci.com/mimesis-lab/mimesis-factory.svg?branch=master)](https://travis-ci.com/mimesis-lab/mimesis-factory)
[![Coverage](https://coveralls.io/repos/github/mimesis-lab/mimesis-factory/badge.svg?branch=master)](https://coveralls.io/github/mimesis-lab/mimesis-factory?branch=master)
[![PyPI version](https://badge.fury.io/py/mimesis-factory.svg)](https://badge.fury.io/py/mimesis-factory) [![wemake-python-styleguide](https://img.shields.io/badge/style-wemake-000000.svg)](https://github.com/wemake-services/wemake-python-styleguide)


<a href="https://github.com/mimesis-lab/mimesis-factory">
    <p align="center">
        <img src="https://raw.githubusercontent.com/mimesis-lab/mimesis-factory/master/media/logo.png?raw=true">
    </p>
</a>


## Description

[Mimesis](https://github.com/lk-geimfari/mimesis) integration for [`factory_boy`](https://github.com/FactoryBoy/factory_boy).

## Installation

```python
➜  pip install mimesis_factory
```


## Usage

Look at the example below and you’ll understand how it works:

```python
class Account(object):
    def __init__(self, username, email, name, surname, age):
        self.username = username
        self.email = email
        self.name = name
        self.surname = surname
        self.age = age
```

Now, use the `MimesisField` class from `mimesis_factory`
to define how fake data is generated:

```python
import factory
from mimesis_factory import MimesisField

from account import Account


class AccountFactory(factory.Factory):
    class Meta(object):
        model = Account

    username = MimesisField('username', template='l_d')
    name = MimesisField('name', gender='female')
    surname = MimesisField('surname', gender='female')
    age = MimesisField('age', minimum=18, maximum=90)
    email = factory.LazyAttribute(
        lambda instance: '{0}@example.org'.format(instance.username)
    )
    access_token = MimesisField('token', entropy=32)
```


## pytest

We also recommend to use [`pytest-factoryboy`](https://github.com/pytest-dev/pytest-factoryboy).
This way it will be possible to integrate your factories into `pytest` fixtures.


## License

`mimesis_factory` is released under the MIT License.