import config
import json
from py_ms_cognitive import PyMsCognitiveNewsSearch
from time import sleep
topic = input("Enter in the topic: ")
print("\nGathering news articles about "+topic)
#Search for articles using Bing's News Search API
search_service = PyMsCognitiveNewsSearch(config.bing_search_api_key, topic)
articles = search_service.search(limit=50,format='json') #first 50 articles
try:
with open(topic.title().replace(' ', '')+'.json', 'a') as f:
for article in articles:
f.write(json.dumps(article.json, indent=4, sort_keys=True)+'\n')
print("Saving article with title: " + article.name)
sleep(0.2) # add a little delay for saucy complexity ;)
except BaseException as e:
print("Error on_data: %s\n" % str(e))
def get_search(search_term, k):
search_service = PyMsCognitiveNewsSearch(API_KEY, search_term)
result = search_service.search(limit=k, format='json')
return result
def test_can_search(self):
web_bing = PyMsCognitiveNewsSearch(SECRET_KEY, "Python")
result_one = web_bing.search(limit=50)
self.assertTrue(len(result_one) > 0)
self.assertTrue("python" in result_one[0].name.lower())
from py_ms_cognitive import PyMsCognitiveNewsSearch
import pandas as pd
import numpy as np
import csv
with open('/Users/kunalsingh/Documents/ML@Berkeley/Investarget/bing_data.csv',
'a') as data:
writer = csv.writer(data)
df = pd.read_csv(
'/Users/kunalsingh/Documents/ML@Berkeley/Investarget/CrunchbaseMattermarkMerge.csv',
usecols=[1])
names = df['Name'].values.tolist()
for name in names:
search_service = PyMsCognitiveNewsSearch(
'7831cba4b4104e7b9d45ab6666ad3514', name)
first_fifty_result = search_service.search(limit=10, format='json')
descriptions = []
for item in first_fifty_result:
descriptions.append(item.description)
writer.writerow(descriptions)