47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
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#!/usr/bin/env python3
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import requests
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import json
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print("Searching for Raising Cane's locations")
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response = requests.get('https://raisingcanes.com/page-data/sq/d/3976656178.json').json()
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stores = []
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for s in response['data']['allPrismicStoreLocation']['nodes']:
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if s['uid'] == 'ara2': # Not sure what's up with this one: https://raisingcanes.com/locations/ara2/
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continue
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elif s['uid'] == 'c524': # Null island? https://raisingcanes.com/locations/c524/
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s['data']['coordinates'] = {
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"longitude": -111.9811399,
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"latitude": 40.5447361,
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}
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stores.append({
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"type": "Feature",
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"geometry": {
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"type": "Point",
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"coordinates": [float(s['data']['coordinates']['longitude']), float(s['data']['coordinates']['latitude'])], # yes, [lon, lat] since it's [x, y]
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},
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"properties": {
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'name': s['data']['external_location_data']['displayName'],
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'nickname': s['data']['external_location_data']['nickname'],
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'address': s['data']['external_location_data']['address1'],
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'city': s['data']['external_location_data']['city'],
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'state': s['data']['external_location_data']['state'],
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'zip': s['data']['external_location_data']['postal_code'],
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'website': f"https://raisingcanes.com/locations/{s['uid']}",
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'opened': s['data']['external_location_data']['birthdate'],
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'hours': s['data']['external_location_data']['hours'],
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},
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})
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print(f"""{len(stores)} locations found""")
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geojson = {
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"type": "FeatureCollection",
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"features": stores,
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}
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with open("data.geojson", "w") as f:
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f.write(json.dumps(geojson))
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