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导入相关包
import timeimport pydashimport base64import requestsfrom lxml import etreefrom aip import AipFacefrom pathlib import Path百度云 人脸检测 申请信息
#唯一必须填的信息就这三行APP_ID = "xxxxxxxx"API_KEY = "xxxxxxxxxxxxxxxx"SECRET_KEY = "xxxxxxxxxxxxxxxx"# 过滤颜值阈值，存储空间大的请随意BEAUTY_THRESHOLD = 55AUTHORIZATION = "oauth c3cef7c66a1843f8b3a9e6a1e3160e20"# 如果权限错误，浏览器中打开知乎，在开发者工具复制一个，无需登录# 建议最好换一个，因为不知道知乎的反爬虫策略，如果太多人用同一个，可能会影响程序运行以下皆无需改动
# 每次请求知乎的讨论列表长度，不建议设定太长，注意节操LIMIT = 5# 这是话题『美女』的 ID，其是『颜值』（20013528）的父话题SOURCE = "19552207"爬虫假装下正常浏览器请求
USER_AGENT = "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/534.55.3 (KHTML, like Gecko) Version/5.1.5 Safari/534.55.3"REFERER = "https://www.zhihu.com/topic/%s/newest" % SOURCE# 某话题下讨论列表请求 urlBASE_URL = "https://www.zhihu.com/api/v4/topics/%s/feeds/timeline_activity"# 初始请求 url 附带的请求参数URL_QUERY = "?include=data%5B%3F%28target.type%3Dtopic_sticky_module%29%5D.target.data%5B%3F%28target.type%3Danswer%29%5D.target.content%2Crelationship.is_authorized%2Cis_author%2Cvoting%2Cis_thanked%2Cis_nothelp%3Bdata%5B%3F%28target.type%3Dtopic_sticky_module%29%5D.target.data%5B%3F%28target.type%3Danswer%29%5D.target.is_normal%2Ccomment_count%2Cvoteup_count%2Ccontent%2Crelevant_info%2Cexcerpt.author.badge%5B%3F%28type%3Dbest_answerer%29%5D.topics%3Bdata%5B%3F%28target.type%3Dtopic_sticky_module%29%5D.target.data%5B%3F%28target.type%3Darticle%29%5D.target.content%2Cvoteup_count%2Ccomment_count%2Cvoting%2Cauthor.badge%5B%3F%28type%3Dbest_answerer%29%5D.topics%3Bdata%5B%3F%28target.type%3Dtopic_sticky_module%29%5D.target.data%5B%3F%28target.type%3Dpeople%29%5D.target.answer_count%2Carticles_count%2Cgender%2Cfollower_count%2Cis_followed%2Cis_following%2Cbadge%5B%3F%28type%3Dbest_answerer%29%5D.topics%3Bdata%5B%3F%28target.type%3Danswer%29%5D.target.content%2Crelationship.is_authorized%2Cis_author%2Cvoting%2Cis_thanked%2Cis_nothelp%3Bdata%5B%3F%28target.type%3Danswer%29%5D.target.author.badge%5B%3F%28type%3Dbest_answerer%29%5D.topics%3Bdata%5B%3F%28target.type%3Darticle%29%5D.target.content%2Cauthor.badge%5B%3F%28type%3Dbest_answerer%29%5D.topics%3Bdata%5B%3F%28target.type%3Dquestion%29%5D.target.comment_count&limit=" + str( LIMIT)
HEADERS = { "User-Agent": USER_AGENT, "Referer": REFERER, "authorization": AUTHORIZATION}指定 url，获取对应原始内容 / 图片
def fetch_image(url): try: response = requests.get(url, headers=HEADERS) except Exception as e: raise e return response.content指定 url，获取对应 JSON 返回 / 话题列表
def fetch_activities(url): try: response = requests.get(url, headers=HEADERS) except Exception as e: raise e return response.json()处理返回的话题列表
def parser_activities(datums, face_detective): for data in datums["data"]: target = data["target"] if "content" not in target or "question" not in target or "author" not in target: continue html = etree.HTML(target["content"]) seq = 0 title = target["question"]["title"] author = target["author"]["name"] images = html.xpath("//img/@src") for image in images: if not image.startswith("http"): continue image_data = fetch_image(image) score = face_detective(image_data) if not score: continue name = "{}--{}--{}--{}.jpg".format(score, author, title, seq) seq = seq + 1 path = Path(__file__).parent.joinpath("image").joinpath(name) try: f = open(path, "wb") f.write(image_data) f.flush() f.close() print(path) time.sleep(2) except Exception as e: continue
if not datums["paging"]["is_end"]: return datums["paging"]["next"] else: return None初始化颜值检测工具
def init_detective(app_id, api_key, secret_key): client = AipFace(app_id, api_key, secret_key) options = {"face_field": "age,gender,beauty,qualities"}
def detective(image): image = str(base64.b64encode(image), "utf-8") response = client.detect(str(image), "BASE64", options) response = response.get("result") if not response: return if (not response) or (response["face_num"] == 0): return face_list = response["face_list"] if pydash.get(face_list, "0.face_probability") < 0.6: return if pydash.get(face_list, "0.beauty") < BEAUTY_THRESHOLD: return if pydash.get(face_list, "0.gender.type") != "female": return score = pydash.get(face_list, "0.beauty") return score
return detective程序入口
def main(): face_detective = init_detective(APP_ID, API_KEY, SECRET_KEY) url = BASE_URL % SOURCE + URL_QUERY while url is not None: datums = fetch_activities(url) url = parser_activities(datums, face_detective) time.sleep(5)
if __name__ == ‘__main__‘: main()更多详情请参考文章出处知乎高颜值图片爬取
原文地址：https://www.cnblogs.com/li1992/p/10599398.html