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pycon-speakers's Introduction

PyCon Speakers Spider

This project will:

  1. scrape speakers' names from archived conference websites,
  2. use SexMachine to infer gender, and
  3. plot gender ratios for different conferences over time.

The Scrapy team have built a spider that scrapes information about speakers at Python conferences since 2011; please see the Scrapy installation guide for installation instructions.

To get started with the sprint:

  1. Pick a currently-active conference that hasn't yet been scraped and write a Scrapy Spider for that conference. You can see conferences that have been scraped already by typing scrapy list.

  2. Create a Scrapy Spider for the conference you wish to scrape, in the pycon_speakers/spiders/ directory. It should crawl as many years of the conference as possible and extract Speaker items.

  3. Test your spider

  4. Submit a pull request

Other tasks:

  1. Improve the gender identification in pycon_speakers/pipelines.py
  2. Review crawled data and fix spiders when the data is incorrect
  3. Chart results

Here what we have for now: Gender Bar Chart

Running the Scrapy Code

List available spiders:

scrapy list

Run a spider:

scrapy crawl us.pycon.org

Run all spiders and generate a data.csv file:

run.sh

Scrapy Cloud Test Project

See https://dash.scrapinghub.com/p/2878/

username: pycon2014
password: pycon2014

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