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#!/usr/bin/python

#-----------------------------------------------------------------------

# twitter-search-geo

# - performs a search for tweets close to New Cross, London,

# and outputs them to a CSV file.

#-----------------------------------------------------------------------

from twitter import *

import sys

import csv

latitude = 51.474144 # geographical centre of search

longitude = -0.035401 # geographical centre of search

max_range = 1 # search range in kilometres

num_results = 50 # minimum results to obtain

outfile = "output.csv"

#-----------------------------------------------------------------------

# load our API credentials

#-----------------------------------------------------------------------

config = {}

execfile("config.py", config)

#-----------------------------------------------------------------------

# create twitter API object

#-----------------------------------------------------------------------

twitter = Twitter(

auth = OAuth(config["access_key"], config["access_secret"], config["consumer_key"], config["consumer_secret"]))

#-----------------------------------------------------------------------

# open a file to write (mode "w"), and create a CSV writer object

#-----------------------------------------------------------------------

csvfile = file(outfile, "w")

csvwriter = csv.writer(csvfile)

#-----------------------------------------------------------------------

# add headings to our CSV file

#-----------------------------------------------------------------------

row = [ "user", "text", "latitude", "longitude" ]

csvwriter.writerow(row)

#-----------------------------------------------------------------------

# the twitter API only allows us to query up to 100 tweets at a time.

# to search for more, we will break our search up into 10 "pages", each

# of which will include 100 matching tweets.

#-----------------------------------------------------------------------

result_count = 0

last_id = None

while result_count < num_results:

#-----------------------------------------------------------------------

# perform a search based on latitude and longitude

# twitter API docs: https://dev.twitter.com/rest/reference/get/search/tweets

#-----------------------------------------------------------------------

query = twitter.search.tweets(q = "", geocode = "%f,%f,%dkm" % (latitude, longitude, max_range), count = 100, max_id = last_id)

for result in query["statuses"]:

#-----------------------------------------------------------------------

# only process a result if it has a geolocation

#-----------------------------------------------------------------------

if result["geo"]:

user = result["user"]["screen_name"]

text = result["text"]

text = text.encode('ascii', 'replace')

latitude = result["geo"]["coordinates"][0]

longitude = result["geo"]["coordinates"][1]

#-----------------------------------------------------------------------

# now write this row to our CSV file

#-----------------------------------------------------------------------

row = [ user, text, latitude, longitude ]

csvwriter.writerow(row)

result_count += 1

last_id = result["id"]

#-----------------------------------------------------------------------

# let the user know where we're up to

#-----------------------------------------------------------------------

print "got %d results" % result_count

#-----------------------------------------------------------------------

# we're all finished, clean up and go home.

#-----------------------------------------------------------------------

csvfile.close()

print "written to %s" % outfile