Files
twitter_scraper/scraper.py
T

88 lines
2.9 KiB
Python

from selenium.webdriver.common.action_chains import ActionChains
from dateutil.parser import parse
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.chrome.options import Options
from fake_useragent import UserAgent
def load_topic(topic, headless=True):
# instantiate driver
options = Options()
if headless:
options.headless = True
# fake a user agent to not be denied service
ua = UserAgent()
userAgent = ua.random
options.add_argument(f'user-agent={userAgent}')
driver = webdriver.Chrome(options=options)
# open webpage
url = f'https://twitter.com/search?q=%23{topic}&src=typed_query&f=live'
driver.get(url)
# wait for popup and click it
timeout = 30 # seconds
xpath_str = "//*[text()='Not now']"
element = WebDriverWait(driver, timeout).until(EC.presence_of_element_located((By.XPATH, xpath_str)))
element.click()
return driver
def list_tweets(driver):
timeout = 30 # seconds
_ = WebDriverWait(driver, timeout).until(EC.presence_of_element_located((By.CSS_SELECTOR, '[data-testid="tweet"]')))
return driver.find_elements(By.CSS_SELECTOR, '[data-testid="tweet"]')
def scroll_to(driver, tweet):
action = ActionChains(driver)
action.move_to_element(tweet).perform()
def get_id(tweet):
return tweet.id
def get_timestamp(tweet):
timestamp = tweet.find_element(By.TAG_NAME, "time").get_attribute("datetime")
return parse(timestamp)
def get_content(tweet):
return tweet.find_element(By.CSS_SELECTOR, 'div[lang]').text
def get_username(tweet):
return tweet.find_element(By.XPATH, ".//span[contains(text(), '@')]").text
def extract(driver, limit=100):
id_list = list()
username_list = list()
timestamp_list = list()
content_list = list()
while len(id_list) < limit:
tweet_list = list_tweets(driver)
for tweet in tweet_list:
id = get_id(tweet)
if id in id_list: continue
scroll_to(driver, tweet)
username_list.append(get_username(tweet))
timestamp_list.append(get_timestamp(tweet))
content_list.append(get_content(tweet))
id_list.append(id)
return username_list, timestamp_list, content_list
def scrape(topic, limit=100, headless=True):
try:
# prepare driver
driver = load_topic(topic, headless)
except Exception as e:
print('failed instantiating webdriver')
print(e)
return [], [], []
try:
# extract information
username_list, timestamp_list, content_list = extract(driver, limit)
except Exception as e:
print('error when extracting tweets')
print(e)
finally:
# close driver
driver.close()
driver.quit()
return username_list, timestamp_list, content_list