Skip to main content

Extract data from APD news site

Project description

Extract data from APD news site.

ScrAPD is a small utility designed to help organizations retrieving traffic fatality data in a friendly manner.

Installation

ScrAPD requires Python 3.7+ to work.

pip install scrapd

Quickstart

Collect all the data as CSV:

scrapd retrieve --format csv

By default, scrapd does not display anything until it is done collecting the data. If you want to get some feedback about the process, you can enable logging, by adding the -v BEFORE the command you want to use. Multiple -v options increase the verbosity. The maximum is 3 (-vvv):

scrapd -v retrieve --format csv

To save the results to a file, use the shell redirection:

scrapd -v retrieve --format csv > results.csv

Note

The logs are displayed to stderr and will not appear in the result file generated by the redirection. If you want to include this information add &2>1.

Examples

Retrieve the traffic fatalities that happened between January 15th 2019 and January 18th 2019, and output the results in json:

scrapd retrieve --from "Jan 15 2019" --to "Jan 18 2019" --format json

[
  {
    "Age": 31,
    "Case": "19-0150158",
    "DOB": "07/09/1987",
    "Date": "January 15, 2019",
    "Ethnicity": "White",
    "Fatal crashes this year": "1",
    "First Name": "Hilburn",
    "Gender": "male",
    "Last Name": "Sell",
    "Link": "http://austintexas.gov/news/traffic-fatality-1-4",
    "Location": "10500 block of N IH 35 SB",
    "Time": "6:20 a.m."
  },
  {
    "Age": 58,
    "Case": "19-0161105",
    "DOB": "02/15/1960",
    "Date": "January 16, 2019",
    "Ethnicity": "White",
    "Fatal crashes this year": "2",
    "First Name": "Ann",
    "Gender": "female",
    "Last Name": "Bottenfield-Seago",
    "Link": "http://austintexas.gov/news/traffic-fatality-2-3",
    "Location": "West William Cannon Drive and Ridge Oak Road",
    "Time": "3:42 p.m."
  }
]

Do the same research but output as CSV:

scrapd retrieve --from "Jan 15 2019" --to "Jan 18 2019" --format csv


Fatal crashes this year,Case,Date,Time,Location,First Name,Last Name,Ethnicity,Gender,DOB,Age,Link
1,19-0150158,"January 15, 2019",6:20 a.m.,10500 block of N IH 35 SB,Hilburn,Sell,White,male,07/09/1987,31,http://austintexas.gov/news/traffic-fatality-1-4
2,19-0161105,"January 16, 2019",3:42 p.m.,West William Cannon Drive and Ridge Oak Road,Ann,Bottenfield-Seago,White,female,02/15/1960,58,http://austintexas.gov/news/traffic-fatality-2-3

Retrieve all the traffic fatalities from 2019 (as of Jan 20th 2019) in json, and enabling the logging to follow the progress of the process:

scrapd -v retrieve --from 2019 --format json

Fetching page 1...
Fetching page 2...
Total: 2
[
  {
    "Age": 31,
    "Case": "19-0150158",
    "DOB": "07/09/1987",
    "Date": "January 15, 2019",
    "Ethnicity": "White",
    "Fatal crashes this year": "1",
    "First Name": "Hilburn",
    "Gender": "male",
    "Last Name": "Sell",
    "Link": "http://austintexas.gov/news/traffic-fatality-1-4",
    "Location": "10500 block of N IH 35 SB",
    "Time": "6:20 a.m."
  },
  {
    "Age": 58,
    "Case": "19-0161105",
    "DOB": "02/15/1960",
    "Date": "January 16, 2019",
    "Ethnicity": "White",
    "Fatal crashes this year": "2",
    "First Name": "Ann",
    "Gender": "female",
    "Last Name": "Bottenfield-Seago",
    "Link": "http://austintexas.gov/news/traffic-fatality-2-3",
    "Location": "West William Cannon Drive and Ridge Oak Road",
    "Time": "3:42 p.m."
  }
]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
scrapd-1.1.0-py3-none-any.whl (13.7 kB) Copy SHA256 hash SHA256 Wheel py3

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page