def crawler():
data_date = tool.file.load_as_json(env.PATH["WanPlus"]["Date File"]) # 载入日期比赛表
data_race = tool.file.load_as_json(env.PATH["WanPlus"]["Race File"]) # 载入比赛包含场次表
# 统计需要抓取的比赛ID列表
need_race_id_list = list()
for date_name, date_race_list in data_date.items():
for race_item in date_race_list:
if race_item["race_id"] not in data_race:
need_race_id_list.append(race_item["race_id"])
print("需要抓取的比赛数量:", len(need_race_id_list))
# 抓取需要的比赛数据
for i in range(len(need_race_id_list)):
need_race_id = str(need_race_id_list[i])
print("正在抓取比赛:", i + 1, "/", len(need_race_id_list), "(", need_race_id, ")")
match_id_list = list() # 场次ID列表
response = requests.get(race_list_url % need_race_id, headers=race_list_headers)
bs = BeautifulSoup(response.content.decode(), 'lxml')
game_labels = bs.select("body > div > div.content > div.left > div:nth-child(1) > div > a")
for game_label in game_labels:
if game_label.has_attr("data-matchid"):
match_id_list.append(game_label["data-matchid"])
data_race[need_race_id] = match_id_list
tool.file.write_json(env.PATH["WanPlus"]["Race File"], data_race) # 存储日期比赛表
time.sleep(tool.get_scope_random(5))
def crawler():
data_race = tool.file.load_as_json(
env.PATH["WanPlus"]["Race File"]) # 载入比赛包含场次表
data_list_match = os.listdir(
env.PATH["WanPlus"]["Match Path"]) # 载入游戏信息文件列表
# 统计需要抓取的场次ID列表
need_match_id_list = dict()
for race_id, match_id_list in data_race.items():
for match_id in match_id_list:
match_file_name = str(match_id) + ".json"
if match_file_name not in data_list_match:
need_match_id_list[match_id] = race_id
print("需要抓取的场次数量:", len(need_match_id_list))
num = 1
for match_id, race_id in need_match_id_list.items():
print("正在抓取场次:", num, "/", len(need_match_id_list), "(", match_id, "-",
race_id, ")")
num += 1
# 执行场次请求
actual_url = match_list_url % match_id
match_list_headers["referer"] = match_list_referer % race_id
response = requests.get(actual_url, headers=match_list_headers)
response_json = json.loads(response.content.decode())
tool.file.write_json(
os.path.join(env.PATH["WanPlus"]["Match Path"],
str(match_id) + ".json"), response_json)
time.sleep(tool.get_scope_random(5))
def crawler(driver, user_name: str, template):
"""
抓取Twitter用户信息
填写数据模板中的name、username、birthday、biography、website、profile_photo、likes_count、tweets_count、followers_count、following_count属性
:param driver: <selenium.webdriver.chrome.webdriver.WebDriver> Chrome浏览器对象
:param user_name: <str> Twitter用户名
:param template: <dict> 返回值数据模板
:return: <dict> 填写抓取数据的数据模板
"""
# 使用twitter-scraper包抓取账户信息(关注数+正在关注数可能错误)
try:
profile = Profile(user_name).to_dict()
except:
print("账号不存在!")
return
print(profile)
for key, value in profile.items():
template[key] = value
# 抓取账户粉丝数和正在关注数(Selenium爬虫)
driver.get("https://twitter.com/" + user_name)
time.sleep(tool.get_scope_random(12))
try:
following_count = tool.fetch.number(
driver.find_element_by_xpath(XPATH_FOLLOWING_COUNT[0]).text)
followers_count = tool.fetch.number(
driver.find_element_by_xpath(XPATH_FOLLOWERS_COUNT[0]).text)
except:
try:
following_count = tool.fetch.number(
driver.find_element_by_xpath(XPATH_FOLLOWING_COUNT[1]).text)
followers_count = tool.fetch.number(
driver.find_element_by_xpath(XPATH_FOLLOWERS_COUNT[1]).text)
except:
print("Selenium抓取关注数+正在关注失败!")
return template
# 依据Selenium爬虫结果修正抓取结果
if abs(template["following_count"] - following_count) > 1000:
print("修正正在关注数量:", template["following_count"], "→", following_count)
template["following_count"] = following_count
if abs(template["followers_count"] - followers_count) > 1000:
print("修正关注者数量:", template["followers_count"], "→", followers_count)
template["followers_count"] = followers_count
return template
if __name__ == "__main__":
selenium = tool.open_chrome() # 打开Selenium控制的Chrome浏览器
mySQL = tool.mysql_connect("Huabang") # 构造MySQL数据库连接对象
if "Huabang" in env.DATA and "Media List" in env.DATA["Huabang"]:
for media_item in env.DATA["Huabang"]["Media List"]:
# if media_item[0] < 440:
# continue
print("开始抓取媒体:", media_item[1], "(", media_item[0], ")", "-", media_item[3], "(", media_item[2], ")")
tweet_template = {
"media_id": media_item[0],
"media_name": media_item[1],
"tweet_id": None,
"is_retweet": 0,
"time": None,
"text": None,
"replies": None,
"retweets": None,
"likes": None
}
tweets = crawler(selenium, media_item[2], tweet_template,
since=dt.date(2020, 8, 6), until=dt.date(2020, 8, 8))
print("共抓取推文:", len(tweets))
record_num = mySQL.insert("twitter_tweet_2008", tweets)
print("写入记录数:", record_num)
time.sleep(tool.get_scope_random(1))
else:
print("榜单媒体名录不存在")
