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scrape-open-data's Introduction

scrape-open-data

Scrape latest data

Scrapes every available dataset from Socrata and stores them as newline-delimited JSON in this repository, to track changes over time through Git scraping.

  • socrata/data.delaware.gov.jsonl contains the latest datasets for a specific domain. This is updated twice a day.
  • socrata/data.delaware.gov.stats.jsonl contains information on page views and download numbers. This is updated once a week to avoid every single fetch including updated counts for many different datasets.

The resulting database is deployed to https://open-data.datasette.io/

scrape_socrata.py

Run python scrape_socrata.py socrata/ to scrape the data from Socrata and save it in the socrata/ directory.

Add --stats to include page view and download statistics in separate files.

Add --verbose for verbose output.

build_socrata_db.py`

Run this command to build a SQLite database from the .jsonl files in socrata/:

python build_socrata_db.py socrata.db socrata

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scrape-open-data's Issues

Build and publish SQLite database of open data

I tried this initially using sqlite-utils insert --flatten against the .jsonl files, but ended up with a table with hundreds of columns.

I'm going to be selective about which columns I include in the database instead.

Run scraper with --stats once per week

This is so I don't get lots of tiny diffs because of page view and download counts incrementing all the time.

I built the script with this in mind - it only writes the stats information out - as separate files - if you include --stats:

scrape-open-data/scrape_socrata.py

Lines 28 to 31 in 626c4cb

if save_stats:
if domain not in stats_files:
stats_files[domain] = (root / "{}.stats.json".format(domain)).open("w")
stats_files[domain].write(json.dumps(stats) + "\n")

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