pa-scraper 0.2.0

Python wrapper for Prompt API's Scraper API

Prompt API - Scraper API - Python Package

pa-scraper is a python wrapper for scraper api with few more extra cream and sugar.

Requirements

1. You need to signup for Prompt API
2. You need to subscribe scraper api, test drive is free!!!
3. You need to set PROMPTAPI_TOKEN environment variable after subscription.

then;

$ pip install pa-scraper

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Example Usage

Examples can be found here.

# examples/fetch.py

from scraper import Scraper

url = 'https://pypi.org/classifiers/'
scraper = Scraper(url)
response = scraper.get()

if response.get('error', None):
    # response['error']  returns error message
    # response['status'] returns http status code

    # Example: {'error': 'Not Found', 'status': 404}
    print(response)  # noqa: T001
else:
    data = response['result']['data']
    headers = response['result']['headers']
    url = response['result']['url']
    status = response['status']

    # print(data) # print fetched html, will be long :)

    print(headers)  # noqa: T001
    # {'Content-Length': '321322', 'Content-Type': 'text/html; charset=UTF-8', ... }

    print(status)  # noqa: T001
    # 200

    save_result = scraper.save('/tmp/my-data.html')  # noqa: S108

    if save_result.get('error', None):
        # save error occured...
        # add you code here...
        pass

    print(save_result)  # noqa: T001
    # {'file': '/tmp/my-data.html', 'size': 321322}

You can add url parameters for extra operations. Valid parameters are:

• auth_password: for HTTP Realm auth password
• auth_username: for HTTP Realm auth username
• cookie: URL Encoded cookie header.
• country: 2 character country code. If you wish to scrape from an IP address of a specific country.
• referer: HTTP referer header
• selector: CSS style XPath selector such as a.btn div li. If selector is enabled, returning result will be collection of data and saved file will be in .json format.

Here is an example with using url parameters and selector:

# examples/fetch_with_params.py

from scraper import Scraper

url = 'https://pypi.org/classifiers/'
scraper = Scraper(url)

fetch_params = dict(country='EE', selector='ul li button[data-clipboard-text]')
response = scraper.get(params=fetch_params)

if response.get('error', None):
    # response['error']  returns error message
    # response['status'] returns http status code

    # Example: {'error': 'Not Found', 'status': 404}
    print(response)  # noqa: T001
else:
    data = response['result']['data']
    headers = response['result']['headers']
    url = response['result']['url']
    status = response['status']

    # print(data)  # noqa: T001
    # ['<button class="button button--small margin-top margin-bottom copy-tooltip copy-tooltip-w" ...\n', ]

    print(len(data))  # noqa: T001
    # 734
    # we have an array...

    print(headers)  # noqa: T001
    # {'Content-Length': '321322', 'Content-Type': 'text/html; charset=UTF-8', ... }

    print(status)  # noqa: T001
    # 200

    save_result = scraper.save('/tmp/my-data.json')  # noqa: S108
    if save_result.get('error', None):
        # save error occured...
        # add you code here...
        pass
    print(save_result)  # noqa: T001
    # {'file': '/tmp/my-data.json', 'size': 174449}

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License

This project is licensed under MIT

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Contributer(s)

• Prompt API - Creator, maintainer

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Contribute

All PR’s are welcome!

1. fork (https://github.com/promptapi/scraper-py/fork)
2. Create your branch (git checkout -b my-feature)
3. commit yours (git commit -am 'Add awesome features...')
4. push your branch (git push origin my-feature)
5. Than create a new Pull Request!

This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the code of conduct.

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