83 lines
2.9 KiB
Python
Executable File
83 lines
2.9 KiB
Python
Executable File
#!/usr/bin/python
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# Turns out alltheplaces has done all the hard work here; we can use their
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# (CC0-licensed) data rather than trying to replicate the scraper ourselves.
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#
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# Unfortunately, many of the stores' individual location searches, including the
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# parent TJX's list at https://www.tjx.com/stores, don't provide a list of
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# stores, and only a search result. Some do, e.g. Sierra, with a chunk of
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# javascript containing a list of JS objects, but this isn't consistent across
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# stores, and I'm too lazy to reimplement something for every store. So, instead
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# we take advantage of the hard work of those who have gone before us!
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import requests
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import json
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data = requests.get('https://alltheplaces-data.openaddresses.io/runs/2024-04-20-13-31-46/output/tjx.geojson')
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chains = {}
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for store in data.json()['features']:
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# store = {
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# "type": "Feature",
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# "id": "iaLJnlhrRR8daHXO0SGtTHQ2aYM=",
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# "properties": {
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# "ref": "93743",
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# "@spider": "tjx",
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# "shop": "department_store",
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# "addr:full": "655 Sydney Ave",
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# "addr:city": "Windsor",
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# "addr:state": "ON",
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# "addr:postcode": "N8X 5C4",
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# "addr:country": "CA",
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# "name": "Windsor",
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# "phone": "+1 519-250-0494",
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# "opening_hours": "Mo-Fr 09:30-21:00; Sa 09:00-21:00; Su 10:00-18:00",
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# "brand": "Marshalls",
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# "brand:wikidata": "Q15903261",
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# "nsi_id": "marshalls-53f9e5"
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# },
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# "geometry": {
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# "type": "Point",
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# "coordinates": [
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# -82.9981994628906,
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# 42.2717170715332
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# ]
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# }
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# },
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if not store['properties']['brand'] in chains:
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chains[store['properties']['brand']] = []
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chains[store['properties']['brand']].append({
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"type": "Feature",
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"geometry": store['geometry'],
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"properties": {
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"name": store['properties']['name'],
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"addr": store['properties']['addr:full'],
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"city": store['properties']['addr:city'],
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"state": store['properties']['addr:state'],
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"postcode": store['properties']['addr:postcode'],
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"country": store['properties']['addr:country'],
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},
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})
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safe_name = lambda s: ''.join([c.lower() for c in s if c.isalpha()])
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for chain, features in chains.items():
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geojson = {
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"type": "FeatureCollection",
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"features": features,
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}
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with open(f"data/{safe_name(chain)}.geojson", "w") as f:
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f.write(json.dumps(geojson))
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print(f"{len(features)} {chain} locations found")
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with open('data/chains.js', 'w') as f:
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for chain in chains:
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f.write(f"import {safe_name(chain)} from './{safe_name(chain)}.geojson?url';\n")
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f.write('\nexport default {\n')
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for chain in chains:
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f.write(f" \"{chain}\": {safe_name(chain)},\n")
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f.write("};\n")
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