Last active
July 29, 2023 19:21
-
-
Save hmason/9005679 to your computer and use it in GitHub Desktop.
A quick script to fetch data from the locu api by query and zip code.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import sys | |
import os | |
import json | |
import csv | |
import time | |
import pickle | |
import requests | |
API_KEY = [YOUR API KEY GOES HERE] | |
class Locu(object): | |
def __init__(self): | |
pass | |
def menu_search(self, menu_item, postal_code): | |
params = {'api_key': API_KEY, 'postal_code': postal_code, 'name': menu_item } | |
url = "https://api.locu.com/v1_0/menu_item/search/?" | |
result = requests.get(url, params=params) | |
return json.loads(result.text) | |
if __name__ == '__main__': | |
l = Locu() | |
query = "cheeseburger" # add your term here | |
r = csv.reader(open('us_top_metro_zipcodes.csv', 'rU')) | |
for row in r: | |
zipcode = row[1] | |
print zipcode | |
m = l.menu_search(query, zipcode) | |
pickle.dump(m, open('data/' + zipcode + '.pickle','wb')) | |
time.sleep(.5) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Birmingham | 35203 | |
---|---|---|
Huntsville | 35813 | |
Mobile | 36601 | |
Montgomery | 36119 | |
Anchorage | 99599 | |
Chandler | 85225 | |
Gilbert town | 85296 | |
Glendale | 85302 | |
Mesa | 85201 | |
Peoria | 85381 | |
Phoenix | 85026 | |
Scottsdale | 85251 | |
Tempe | 85282 | |
Tucson | 85726 | |
Little Rock | 72202 | |
Anaheim | 92803 | |
Antioch | 94509 | |
Bakersfield | 93380 | |
Berkeley | 94704 | |
Burbank | 91505 | |
Chula Vista | 91910 | |
Concord | 94520 | |
Corona | 91718 | |
Costa Mesa | 92628 | |
Daly City | 94015 | |
Downey | 90241 | |
El Monte | 91734 | |
Elk Grove | 95624 | |
Escondido | 92025 | |
Fairfield | 94533 | |
Fontana | 92335 | |
Fremont | 94537 | |
Fresno | 93706 | |
Fullerton | 92834 | |
Garden Grove | 92842 | |
Glendale | 91205 | |
Hayward | 94544 | |
Huntington Beach | 92647 | |
Inglewood | 90301 | |
Irvine | 92619 | |
Lancaster | 93534 | |
Long Beach | 90802 | |
Los Angeles | 90052 | |
Modesto | 95350 | |
Moreno Valley | 92553 | |
Norwalk | 90650 | |
Oakland | 94612 | |
Oceanside | 92054 | |
Ontario | 91761 | |
Orange | 92863 | |
Oxnard | 93030 | |
Palmdale | 93550 | |
Pasadena | 91103 | |
Pomona | 91769 | |
Rancho Cucamonga | 91729 | |
Richmond | 94801 | |
Riverside | 92507 | |
Roseville | 95661 | |
Sacramento | 95813 | |
Salinas | 93907 | |
San Bernardino | 92401 | |
San Buenaventura (Ventura) | 93001 | |
San Diego | 92199 | |
San Francisco | 94188 | |
San Jose | 95101 | |
Santa Ana | 92711 | |
Santa Clara | 95050 | |
Santa Clarita | 91355 | |
Santa Rosa | 95402 | |
Simi Valley | 93065 | |
Stockton | 95208 | |
Sunnyvale | 94086 | |
Thousand Oaks | 91362 | |
Torrance | 90503 | |
Vallejo | 94590 | |
Visalia | 93277 | |
West Covina | 91793 | |
Arvada | 80004 | |
Aurora | 80017 | |
Colorado Springs | 80903 | |
Denver | 80202 | |
Fort Collins | 80525 | |
Lakewood | 80202 | |
Pueblo | 81003 | |
Thornton | 80221 | |
Westminster | 80030 | |
Bridgeport | 06602 | |
Hartford | 06101 | |
New Haven | 06511 | |
Stamford | 06904 | |
Waterbury | 06702 | |
Washington1 | 20090 | |
Cape Coral | 33909 | |
Clearwater | 33990 | |
Coral Springs | 33075 | |
Fort Lauderdale | 33310 | |
Gainesville | 32601 | |
Hialeah | 33010 | |
Hollywood | 33022 | |
Jacksonville | 32203 | |
Miami | 33152 | |
Miramar | 33023 | |
Orlando | 32802 | |
Pembroke Pines | 33024 | |
Pompano Beach | 33060 | |
Port St. Lucie | 34952 | |
St. Petersburg | 33730 | |
Tallahassee | 32301 | |
Tampa | 33630 | |
Athens-Clarke County2 | 30608 | |
Atlanta | 30304 | |
Augusta-Richmond County3 | 30901 | |
Columbus | 31908 | |
Savannah | 31402 | |
Honolulu CDP4 | 96820 | |
Boise City | 83708 | |
Aurora | 60505 | |
Chicago | 60607 | |
Joliet | 60436 | |
Naperville | 60540 | |
Peoria | 61601 | |
Rockford | 61125 | |
Springfield | 62703 | |
Evansville | 47708 | |
Fort Wayne | 46802 | |
Indianapolis | 46206 | |
South Bend | 46624 | |
Cedar Rapids | 52401 | |
Des Moines | 50318 | |
Kansas City | 66106 | |
Olathe | 66051 | |
Overland Park | 66204 | |
Topeka | 66603 | |
Wichita | 67276 | |
Lexington-Fayette | 40511 | |
Louisville-Jefferson County5 | 40231 | |
Baton Rouge | 70826 | |
Lafayette | 70509 | |
New Orleans | 70113 | |
Shreveport | 71102 | |
Baltimore | 21202 | |
Boston | 02205 | |
Cambridge | 02139 | |
Lowell | 01853 | |
Springfield | 01101 | |
Worcester | 01613 | |
Ann Arbor | 48104 | |
Detroit | 48233 | |
Flint | 48502 | |
Grand Rapids | 49501 | |
Lansing | 48924 | |
Sterling Heights | 48311 | |
Warren | 48090 | |
Minneapolis | 55401 | |
St. Paul | 55109 | |
Jackson | 39205 | |
Independence | 64052 | |
Kansas City | 64108 | |
Springfield | 65801 | |
St. Louis | 63155 | |
Lincoln | 68501 | |
Omaha | 68108 | |
Henderson | 89015 | |
Las Vegas | 89199 | |
North Las Vegas | 89030 | |
Reno | 89510 | |
Manchester | 03103 | |
Elizabeth | 07208 | |
Jersey City | 07302 | |
Newark | 07102 | |
Paterson | 07510 | |
Albuquerque | 87101 | |
Buffalo | 14240 | |
New York | 10199 | |
Rochester | 14692 | |
Syracuse | 13220 | |
Yonkers | 10701 | |
Cary | 27511 | |
Charlotte | 28228 | |
Durham | 27701 | |
Fayetteville | 28302 | |
Greensboro | 27420 | |
Raleigh | 27613 | |
Winston-Salem | 27102 | |
Akron | 44309 | |
Cincinnati | 45225 | |
Cleveland | 44101 | |
Columbus | 43216 | |
Dayton | 45401 | |
Toledo | 43601 | |
Norman | 73019 | |
Oklahoma City | 73125 | |
Tulsa | 74107 | |
Eugene | 97401 | |
Portland | 97208 | |
Salem | 97309 | |
Allentown | 18101 | |
Erie | 16515 | |
Philadelphia | 19104 | |
Pittsburgh | 15290 | |
Providence | 02904 | |
Charleston | 29401 | |
Columbia | 29201 | |
Sioux Falls | 57104 | |
Chattanooga | 37421 | |
Clarksville | 37043 | |
Knoxville | 37950 | |
Memphis | 38101 | |
Nashville-Davidson6 | 37230 | |
Abilene | 79604 | |
Amarillo | 79120 | |
Arlington | 76004 | |
Austin | 78710 | |
Beaumont | 77707 | |
Brownsville | 78520 | |
Carrollton | 75006 | |
Corpus Christi | 78469 | |
Dallas | 75260 | |
Denton | 76201 | |
El Paso | 79910 | |
Fort Worth | 76161 | |
Garland | 75040 | |
Grand Prairie | 75051 | |
Houston | 77201 | |
Irving | 75061 | |
Killeen | 76541 | |
Laredo | 78041 | |
Lubbock | 79402 | |
McAllen | 78501 | |
Mesquite | 75149 | |
Pasadena | 77501 | |
Plano | 75074 | |
San Antonio | 78284 | |
Waco | 76702 | |
Salt Lake City | 84199 | |
West Valley City | 84199 | |
Alexandria | 22314 | |
Amarillo | 79120 | |
Arlington | 76004 | |
Austin | 78710 | |
Beaumont | 77707 | |
Brownsville | 78520 | |
Carrollton | 75006 | |
Corpus Christi | 78469 | |
Dallas | 75260 | |
Denton | 76201 | |
El Paso | 79910 | |
Fort Worth | 76161 | |
Garland | 75040 | |
Grand Prairie | 75051 | |
Houston | 77201 | |
Irving | 75061 | |
Killeen | 76541 | |
Laredo | 78041 | |
Lubbock | 79402 | |
McAllen | 78501 | |
Mesquite | 75149 | |
Pasadena | 77501 | |
Plano | 75074 | |
San Antonio | 78284 | |
Waco | 76702 | |
Utah | ||
Salt Lake City | 84199 | |
West Valley City | 84199 | |
Virginia | ||
Alexandria | 22314 | |
Arlington CDP | 23320 | |
Chesapeake | 23670 | |
Hampton | 23607 | |
Newport News | 23501 | |
Norfolk | 23707 | |
Portsmouth | 23702 | |
Richmond | 23232 | |
Virginia Beach | 23450 | |
Washington | ||
Bellevue | 98009 | |
Seattle | 98108 | |
Spokane | 99201 | |
Tacoma | 98413 | |
Vancouver | 98668 | |
Wisconsin | ||
Green Bay | 54303 | |
Madison | 53714 | |
Milwaukee | 53203 |
should work with any version python 2.6+
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi Hillary, I really enjoyed your piece on SciFri. I'm new to programming, learning as I go, interested in spatial data mostly. Simple question, since it doesn't seem evident here; what version of Python was this written for? Trying my hand at some debugging, getting stuck on pickle. Thanks in advance.