Checklists_scrapers is a set of web scrapers for downloading records from
on-line databases of observations of birds. Scrapers are available for:
a database hosted by the Laboratory for Ornithology at Cornell University,
covering the Americas, Oceania and an increasing number of records for
a network of databases hosted by WorldBirds (BirdLife International),
with good coverage of countries around the Mediterranean and Africa.
The eBird API only provides checklist records for up to the past 30 days so
the scrapers must be run on a regular basis. They are intended to provide a
continuous update of records and so are ideal for mirroring subsets of the
records available (for a given region for example) so you don't have to
repeatedly run reports or submit requests for data from the database hosts.
So, what is this for?
Checklists_scrapers was written to aggregate records from different databases
for loading into a
database. However, since the downloaded checklists are in JSON format the file
may be used with any similar database.
The scrapers (and django-checklists) are current used by the
`Birding Lisboa <http://www.birdinglisoa.com/>`_ news service which covers the
area around the Tejo estuary, Portugal. All the downloaded checklists are
loaded into a database which is used to publish the latest news as well as
generate annual reports.
A similar database could be used for any purpose - analysing observations
for conservation, environmental management or education. Aggregating the
observations from multiple databases with the scrapers makes this task a
Installing & Configuring
Checklists_scrapers is available from PyPI. You can install it with pip or
pip install checklists_scrapers
The scrapers are built using the scrapy engine which uses settings, in the same
way as Django, for configuration and runtime values. The settings file is
configured to initialize its values from environment variables. That makes it
easy to configure the scrapers, particularly for the most common use-case,
running them from a scheduler such as cron.
The only required setting is to tell scrapy (the engine used by the scrapers)
the path to the settings module::
The remaining settings have sensible defaults so only those that are
installation dependent, such as the mail server used for sending out status
reports. Here is this script that is used to run the scrapers for Birding
Lisboa from cron::
scrapy crawl ebird -a region=PT-11
scrapy crawl ebird -a region=PT-15
The settings can also be defined when the scrapers are run using the -S
scrapy crawl ebird -a region=PT-15 -s LOG_LEVEL=DEBUG
However this obvious becomes a little cumbersome if more than one or two
settings are involved.
scrapy crawl ebird -a region=PT-15 -s DOWNLOAD_DIR=downloads
NOTE: the environment variables use a prefix "CHECKLISTS" as a namespace
to avoid interfering with any other variables. When the setting is defined
using the -s option when running the scrapers, this prefix must be dropped::
NOTE: REPORT_RECIPIENTS is a comma-separated list of one or more
email addresses. The default value is an empty string so no status reports
will be mailed out. However if the LOG_LEVEL is set to 'DEBUG' the status
report will be written to the file checklists_scrapers_status.txt in the
Everything is now ready to run.
The arguments passed to the scrapers on the command line specify value such as
which region to download observations from and login details for scrapers
that need an account to access the data::
scrapy crawl ebird -a region=PT-11
scrapy crawl worldbirds -a username=<user> -a password=<pass> -a country=uk
See the docs for each spider to get a list of the command line arguments and
If you have defined the settings for a mail server and the setting
REPORT_RECIPIENTS then a status report will be sent out each time
the scrapers are run. If the LOG_LEVEL is set to 'DEBUG' the report is also
written to the directory where the checklists are downloaded to. The report
contains a list of the checklist downloaded along with an errors (complete with
stack traces) and any warnings::
Date: 03 Jan 2014
2013-12-27 09:59, Jardim Botanico da Universidade de Lisboa
2013-12-28 10:20, Baia Cascais
2013-12-28 13:31, PN Sintra-Cascais--Cabo da Roca
2013-12-29 07:45, RN Estuario do Tejo--Vala da Saragossa
Traceback (most recent call last):
File "/home/birdinglisboa/venv/local/lib/python2.7/site-packages/twisted/internet/base.py", line 1201, in mainLoop
File "/home/birdinglisboa/venv/local/lib/python2.7/site-packages/twisted/internet/base.py", line 824, in runUntilCurrent
File "/home/birdinglisboa/venv/local/lib/python2.7/site-packages/twisted/internet/defer.py", line 382, in callback
File "/home/birdinglisboa/venv/local/lib/python2.7/site-packages/twisted/internet/defer.py", line 490, in _startRunCallbacks
--- <exception caught here> ---
File "/home/birdinglisboa/venv/local/lib/python2.7/site-packages/twisted/internet/defer.py", line 577, in _runCallbacks
current.result = callback(current.result, *args, **kw)
File "/home/birdinglisboa/venv/local/lib/python2.7/site-packages/checklists_scrapers/spiders/ebird_spider.py", line 585, in parse_checklist
checklist = self.merge_checklists(original, update)
File "/home/birdinglisboa/venv/local/lib/python2.7/site-packages/checklists_scrapers/spiders/ebird_spider.py", line 602, in merge_checklists
File "/home/birdinglisboa/venv/local/lib/python2.7/site-packages/checklists_scrapers/spiders/ebird_spider.py", line 695, in merge_entries
if count in key[index]:
exceptions.TypeError: string indices must be integers
2014-01-01 11:55, Parque da Paz
Could not update record from API. There are 2 records that match: species=White Wagtail; count=4.
Checklists downloaded also included the name of the observer, which was removed
here for obvious reasons. The stack traces in the Errors section is useful if
there is a bug but it is also a first indication that the format of the
information being scraped has changed. In either case report it as an issue and
it will get fixed.
Warnings are generally informative. Here a warning is generated because the
checklist contained two equal counts for White Wagtail in the API records -
only the species is reported information on subspecies is dropped. However
the subspecies is reported on the checklist web page. That means when the web
page was scraped it was not possible to distinguish between the two records.
The records should be edited to add any useful information such as comments,
which are only available from the web page.
* Documentation: http://checklists_scrapers.readthedocs.org/
* Repository: https://github.com/StuartMacKay/checklists_scrapers/
* Package: https://pypi.python.org/pypi/checklists_scrapers/
* Buildbot: http://travis-ci.org/#!/StuartMacKay/checklists_scrapers/
.. image:: https://secure.travis-ci.org/StuartMacKay/checklists.png?branch=master
Checklists_scrapers is available under the modified BSD licence.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.