hodorlive 1.2.16

xpath/css based scraper with pagination

Hodor

A simple html scraper with xpath or css.

Install

pip install hodorlive

Usage

As python package

WARNING: This package by default doesn't verify ssl connections. Please check the arguments to enable them.

Sample code

from hodor import Hodor
from dateutil.parser import parse


def date_convert(data):
    return parse(data)

url = 'http://www.nasdaq.com/markets/stocks/symbol-change-history.aspx'

CONFIG = {
    'old_symbol': {
        'css': '#SymbolChangeList_table tr td:nth-child(1)',
        'many': True
    },
    'new_symbol': {
        'css': '#SymbolChangeList_table tr td:nth-child(2)',
        'many': True
    },
    'effective_date': {
        'css': '#SymbolChangeList_table tr td:nth-child(3)',
        'many': True,
        'transform': date_convert
    },
    '_groups': {
        'data': '__all__',
        'ticker_changes': ['old_symbol', 'new_symbol']
    },
    '_paginate_by': {
        'xpath': '//*[@id="two_column_main_content_lb_NextPage"]/@href',
        'many': False
    }
}

h = Hodor(url=url, config=CONFIG, pagination_max_limit=5)

h.data

Sample output

{'data': [{'effective_date': datetime.datetime(2016, 11, 1, 0, 0),
           'new_symbol': 'ARNC',
           'old_symbol': 'AA'},
          {'effective_date': datetime.datetime(2016, 11, 1, 0, 0),
           'new_symbol': 'ARNC$',
           'old_symbol': 'AA$'},
          {'effective_date': datetime.datetime(2016, 8, 16, 0, 0),
           'new_symbol': 'MALN8',
           'old_symbol': 'AHUSDN2018'},
          {'effective_date': datetime.datetime(2016, 8, 16, 0, 0),
           'new_symbol': 'MALN9',
           'old_symbol': 'AHUSDN2019'},
          {'effective_date': datetime.datetime(2016, 8, 16, 0, 0),
           'new_symbol': 'MALQ6',
           'old_symbol': 'AHUSDQ2016'},
          {'effective_date': datetime.datetime(2016, 8, 16, 0, 0),
           'new_symbol': 'MALQ7',
           'old_symbol': 'AHUSDQ2017'},
          {'effective_date': datetime.datetime(2016, 8, 16, 0, 0),
           'new_symbol': 'MALQ8',
           'old_symbol': 'AHUSDQ2018'}]}

Arguments

• ua (User-Agent)
• proxies (check requesocks)
• auth
• crawl_delay (crawl delay in seconds across pagination - default: 3 seconds)
• pagination_max_limit (max number of pages to crawl - default: 100)
• ssl_verify (default: False)
• robots (if set respects robots.txt - default: True)
• reppy_capacity (robots cache LRU capacity - default: 100)
• trim_values (if set trims output for leading and trailing whitespace - default: True)

Config parameters:

• By default any key in the config is a rule to parse.
  • Each rule can be either a xpath or a css
  • Each rule can extract many values by default unless explicity set to False
  • Each rule can allow to transform the result with a function if provided
• Extra parameters include grouping (_groups) and pagination (_paginate_by) which is also of the rule format.

Building & Publishing

Prerequisites

• Install uv.
• Review the uvx execution model for running tools without global installs.
• Hatch documentation: https://hatch.pypa.io/latest/.

Build workflow

Run the release helper to build and publish wheels and source archives via Hatch:

./upload.sh

The script shells out to uvx hatch build followed by uvx hatch publish so that Hatch is executed in an ephemeral environment.

Publishing requirements

1. Configure credentials in ~/.pypirc as described in the PyPI configuration specification.
2. Use the shared PyPI/TestPyPI credentials stored in 1Password.