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import requests
from bs4 import BeautifulSoup
import csv


link_list = []

with open('100_stocks.csv - 100_stocks.csv', newline='') as csvfile:
    spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|')
    for row in spamreader:
        link_list.append(', '.join(row))
        # print(', '.join(row))



# print(link_list)


table_data = []

for link in link_list[1:3]:
    url = "http://www.nasdaq.com/earnings/report/%s"%link.lower()
    print(url)

    # url = "http://www.nasdaq.com/earnings/report/%s"
    result = requests.get(url)
    print(result)
#     c = result.content
#     soup = BeautifulSoup(c, 'html.parser')
#     all_content = soup.find('div', class_="genTable")

#     rows = all_content.find_all('tr')

#     for row in rows[1:]:
#         data = {}
#         tds = row.find_all('td')
#         data['url'] = url
#         data['Fiscal Quarter End'] = tds[0].text
#         data['Date Reported'] = tds[1].text
#         data['Earnings Per Share'] = tds[2].text
#         data['Consensus EPS* Forecast'] = tds[3].text
#         data['%Surprise'] = tds[4].text
#         table_data.append(data)


# print(table_data)



# keys = table_data[0].keys()
# with open('renata.csv', 'w') as output_file:
#     dict_writer = csv.DictWriter(output_file, keys)
#     dict_writer.writeheader()
#     dict_writer.writerows(table_data)




# # import csv

# # with open('mycsvfile.csv', 'w') as f:  # Just use 'w' mode in 3.x
# #     w = csv.DictWriter(f, data.keys())
# #     w.writeheader()
# #     w.writerow(data)