dwillis / Fech
A Ruby parser for electronic candidate, PAC and party campaign filings from the Federal Election Commission.
☆14Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for Fech
- Code for extracting data from a large number of PDFs, particularly FCC political ad documents☆15Updated 7 years ago
- Archive of political ad data from the Federal Communications Commission☆20Updated 7 years ago
- Investigative tool for extracting relevant areas from many documents☆14Updated 9 years ago
- Alpha-quality parser for Office of Government ethics form 278 public financial disclosure PDFs☆24Updated 2 years ago
- ☆25Updated 11 years ago
- Data and scripts relating to the publishing of the House expenditure reports, and hopefully the Senate's in future.☆24Updated 3 years ago
- Parser and standardizer for politician, individual and organization names.☆128Updated 7 years ago
- DEFUNCT. Process legal documents into integration-friendly HTML.☆21Updated 10 years ago
- POLITICO's system for managing civic data☆20Updated last year
- a python parser for the .fec file format☆44Updated last year
- legacy backend for Open States☆87Updated 4 years ago
- A Node module to parse raw FEC electronic filings, inspired by Fech.☆17Updated last year
- A Ruby gem that extracts press releases and statements by members of Congress.☆70Updated 8 years ago
- Loads raw FEC filings into a database☆21Updated last year
- how I FOIA (and maybe how you can too!)☆21Updated 6 years ago
- NICAR 2016 talk about PDFs!☆62Updated 8 years ago
- Tools for working with Optical Character Recognition output☆16Updated 10 years ago
- Materials to reproduce findings in our story, "Google’s Top Search Result? Surprise! It’s Google"☆34Updated 4 years ago
- An interactive visualization of incarceration spending in Chicago☆43Updated 6 years ago
- A how-to do a mass collection of FEC data using the command-line and regular expressions☆29Updated 8 years ago
- Load Illinois political contribute and spending data efficiently☆57Updated 3 years ago
- transform a datapoint from a website into a CSV time-series dataset using the wayback machine☆12Updated last year
- ☆23Updated 8 years ago