ErinClark / sp_E5032_BLBC_gov

Scrapes www.bexley.gov.uk

London Borough of Bexley - Home


This is a scraper that runs on Morph. To get started see the documentation

Contributors woodbine

Last run completed successfully .

Console output of last run

Injecting configuration and compiling... Injecting scraper and running... E5032_BLBC_gov_2015_09 E5032_BLBC_gov_2015_08 E5032_BLBC_gov_2015_07 E5032_BLBC_gov_2015_06 E5032_BLBC_gov_2015_05 E5032_BLBC_gov_2015_04 E5032_BLBC_gov_2015_03 E5032_BLBC_gov_2015_02 E5032_BLBC_gov_2015_01 E5032_BLBC_gov_2014_12 E5032_BLBC_gov_2014_11 E5032_BLBC_gov_2014_10 E5032_BLBC_gov_2014_Q0 E5032_BLBC_gov_2013_Q0 E5032_BLBC_gov_2013_Q0 E5032_BLBC_gov_2012_Q0 E5032_BLBC_gov_2012_Q0 E5032_BLBC_gov_2011_Y1 E5032_BLBC_gov_2010_Q0

Data

Downloaded 2 times by MikeRalphson

To download data sign in with GitHub

Download table (as CSV) Download SQLite database (8 KB) Use the API

rows 10 / 19

d l f
2015-11-18 13:44:51.761754
E5032_BLBC_gov_2015_09
2015-11-18 13:44:54.050416
E5032_BLBC_gov_2015_08
2015-11-18 13:44:56.648772
E5032_BLBC_gov_2015_07
2015-11-18 13:44:58.908946
E5032_BLBC_gov_2015_06
2015-11-18 13:45:01.046266
E5032_BLBC_gov_2015_05
2015-11-18 13:45:03.306210
E5032_BLBC_gov_2015_04
2015-11-18 13:45:05.567763
E5032_BLBC_gov_2015_03
2015-11-18 13:45:08.308828
E5032_BLBC_gov_2015_02
2015-11-18 13:45:10.746903
E5032_BLBC_gov_2015_01
2015-11-18 13:45:13.599685
E5032_BLBC_gov_2014_12

Statistics

Average successful run time: 1 minute

Total run time: 4 minutes

Total cpu time used: less than 5 seconds

Total disk space used: 39.7 KB

History

  • Manually ran revision db2dea85 and completed successfully .
    19 records added, 19 records removed in the database
    20 pages scraped
  • Manually ran revision 5340d436 and completed successfully .
    19 records added, 12 records removed in the database
    20 pages scraped
  • Manually ran revision 935c6686 and completed successfully .
    12 records added in the database
    1 page scraped
  • Created on morph.io

Scraper code

Python

sp_E5032_BLBC_gov / scraper.py