rcp

Python client for RealClearPolitics.

Install

pip install realclearpolitics

Usage

usage: rcp [-h] [--output [OUTPUT]] [--generate-table] url [url ...]

positional arguments:
  url                The url of the polling data.

optional arguments:
  -h, --help         show this help message and exit
  --output [OUTPUT]  The output file name.
  --generate-table   Pass this argument to generate a table.

Examples

Get the US general election results.

rcp http://www.realclearpolitics.com/epolls/2016/president/us/general_election_trump_vs_clinton-5491.html --output general.csv

Download multiple polls.

rcp http://www.realclearpolitics.com/epolls/2016/president/us/general_election_trump_vs_clinton-5491.html \
> https://www.realclearpolitics.com/epolls/other/president_trump_job_approval_economy-6182.html \
> https://www.realclearpolitics.com/epolls/other/president_trump_job_approval_foreign_policy-6183.html

API Usage

Search for Fox News poll numbers for Trump:

from rcp import get_polls, get_poll_data
from pprint import pprint

polls = get_polls(candidate="Trump", pollster="Fox")

for poll in polls:
    td = get_poll_data(poll['url'])
    pprint(td)

The will return a dictionary structured like this:

[
    {
        'data': [{'Biden (D)': '49.6',
                'Date': '3/27 - 7/9',
                'MoE': '--',
                'Poll': 'RCP Average',
                'Sample': '--',
                'Spread': 'Biden +8.5',
                'Trump (R)': '41.1'},
        ...
        }],
    'poll': 'https://www.realclearpolitics.com/epolls/2020/president/us/general_election_trump_vs_biden-6247.html'

]

Write a poll to CSV:

from rcp import get_polls, get_poll_data, to_csv

polls = get_polls(candidate="Biden")[0]
data = get_poll_data(polls['url'], csv_output=True)
to_csv('output.csv', data)

Create table:

from rcp import get_poll_data
from prettytable import PrettyTable

x = PrettyTable()

td = get_poll_data(
    "https://www.realclearpolitics.com/epolls/other/president_trump_job_approval-6179.html"
)

x.field_names = list(td[0]["data"][0].keys())
x.align = "l"

for row in td[0]["data"]:
    x.add_row(row.values())

print(x)