Skip to main content

Parse PDF-to-XML converted lobby list of German Bundestag

Project description

Use pdftohtml to get an XML file from the pdf.

pdftohtml -xml input.pdf output.xml

Then use the extractor with first and last relevant page number to convert to parsed JSON:

python extract_lobby.py 4 690 < lobbylist.xml > lobbylist.json

Here is [extracted JSON (15th of June 2012)](http://stefanwehrmeyer.com/projects/verbaendeliste/20120615.json).

License: MIT-License

Project details


Download files

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

Source Distribution

verbaendeliste-bundestag-0.1.0.tar.gz (5.6 kB view details)

Uploaded Source

Built Distribution

verbaendeliste_bundestag-0.1.0-py2.py3-none-any.whl (6.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file verbaendeliste-bundestag-0.1.0.tar.gz.

File metadata

File hashes

Hashes for verbaendeliste-bundestag-0.1.0.tar.gz
Algorithm Hash digest
SHA256 8be6cd3c9afe8a097e2ec9f42b45163b257cdb01a129fe84efbe7d5642989f3d
MD5 c5a8f33a6de4b4718094a42cea20c97e
BLAKE2b-256 933b30c36f7c73c7e8e7a6ae9c36fbe771b0f7192173de1323f2faa1fd1a86da

See more details on using hashes here.

File details

Details for the file verbaendeliste_bundestag-0.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for verbaendeliste_bundestag-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7f03ba7d810b2f70759afb85168045a5458814f740b6876bf554af9c4f2570f2
MD5 c4cbfbb7be7f58a195a726f64d9e4a50
BLAKE2b-256 d06539a2d87598578f6be3c62af800dd0ae97c606ab9a7787632f51f123741d1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page