parallelhtmlscraper 0.1.0
This project helps you to web scrape html file.
Requires Python: >=3.7
Keywords: parallel HTML web scraping scrape aiohttp beautifulsoup beautifulsoup4

# Parallel HTML Scraper

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Helps you to web scrape html file in parallel without async / await syntax.

## Feature

This project helps you to web scrape html file in parallel without async / await syntax.

## Installation

```console
pip install parallelhtmlscraper
```

## Usage

Minimum example:

```python
from bs4 import BeautifulSoup

from parallelhtmlscraper.html_analyzer import HtmlAnalyzer
from parallelhtmlscraper.parallel_html_scraper import ParallelHtmlScraper

class AnalyzerExample(HtmlAnalyzer):
    async def execute(self, soup: BeautifulSoup) -> str:
        return soup.find('title').text

host_google = 'https://www.google.com'
path_and_content = [
    '',                                                           # Google Search
    '/imghp?hl=EN',                                               # Google Images
    '/shopping?hl=en',                                            # Google Shopping
    '/save',                                                      # Collection
    'https://www.google.com/maps?hl=en',                          # Google Maps
    'https://www.google.com/drive/apps.html',                     # Google drive
    'https://www.google.com/mail/help/intl/en/about.html?vm=r',   # GMail
]

list_response = ParallelHtmlScraper.execute(host_google, path_and_content, AnalyzerExample())
print(list_response)
```

```console
$ pipenv run python test.py
['\n      Gmail - Email from Google\n    ', 'Google Images', '  Google Maps  ', 'Using Google Drive - New Features, Benefits & Advantages of Google Cloud Storage', 'Google Shopping', 'Google', 'Collections']
```

## API

### ParallelMediaDownloader.execute

```python
class ParallelHtmlScraper:
    """API of parallel HTML scraping."""

    @staticmethod
    def execute(
        base_url: str,
        list_url: Iterable[str],
        analyzer: HtmlAnalyzer[_T],
        *,
        limit: int = 5
        interval: int = 1
    ) -> List[_T]:
```

#### base_url: str

Common part of request URL.
This will be help to download URLs got from HTML.

#### list_url: Iterable[str]

List of URL. Method will download them in parallel.
Absolute URL having same base URL as `base_url` also can be specified.

#### analyzer: HtmlAnalyzer[_T]

The instance extends `HtmlAnalyzer` to analyze HTML by using [BeautifulSoup](https://pypi.org/project/beautifulsoup4/).
Following example will be help to understand its roll:

```python
class AnalyzerExample(HtmlAnalyzer):
    async def execute(self, soup: BeautifulSoup) -> str:
        return soup.find('title').text
```

#### limit: int = 5

Limit number of parallel processes.

#### interval: int = 1

Interval between each request(second).