requests+pyquery+multiprocessing爬虫

import requests
import logging
import re
import pymongo
from pyquery import PyQuery as pq
from urllib.parse import urljoin
import multiprocessing
 
logging.basicConfig(level=logging.INFO,
                    format='%(asctime)s - %(levelname)s: %(message)s')
 
BASE_URL = 'https://static1.scrape.cuiqingcai.com'
TOTAL_PAGE = 10
MONGO_CONNECTION_STRING = 'mongodb://localhost:27017'
MONGO_DB_NAME = 'movies'
MONGO_COLLECTION_NAME = 'movies'
 
client = pymongo.MongoClient(MONGO_CONNECTION_STRING)
db = client['movies']
collection = db['movies']
 
def scrape_page(url):
    """
    scrape page by url and return its html
    :param url: page url
    :return: html of page
    """
    logging.info('scraping %s...', url)
    try:
        response = requests.get(url)
        if response.status_code == 200:
            return response.text
        logging.error('get invalid status code %s while scraping %s', response.status_code, url)
    except requests.RequestException:
        logging.error('error occurred while scraping %s', url, exc_info=True)
 
def scrape_index(page):
    """
    scrape index page and return its html
    :param page: page of index page
    :return: html of index page
    """
    index_url = f'{BASE_URL}/page/{page}'
    return scrape_page(index_url)
 
def parse_index(html):
    """
    parse index page
    :param html: html of index page
    :return: generator of detail page url
    """
    doc = pq(html)
    links = doc('.el-card .name')
    for link in links.items():
        href = link.attr('href')
        detail_url = urljoin(BASE_URL, href)
        logging.info('get detail url %s', detail_url)
        yield detail_url
 
def scrape_detail(url):
    """
    scrape detail page and return its html
    :param page: page of detail page
    :return: html of detail page
    """
    return scrape_page(url)
 
def parse_detail(html):
    """
    parse detail page
    :param html: html of detail page
    :return: data
    """
    doc = pq(html)
    cover = doc('img.cover').attr('src')
    name = doc('a > h2').text()
    categories = [item.text() for item in doc('.categories button span').items()]
    published_at = doc('.info:contains(上映)').text()
    published_at = re.search('(\d{4}-\d{2}-\d{2})', published_at).group(1) \
        if published_at and re.search('\d{4}-\d{2}-\d{2}', published_at) else None
    drama = doc('.drama p').text()
    score = doc('p.score').text()
    score = float(score) if score else None
    return {
        'cover': cover,
        'name': name,
        'categories': categories,
        'published_at': published_at,
        'drama': drama,
        'score': score
    }
 
def save_data(data):
    """
    save to mongodb
    :param data:
    :return:
    """
    collection.update_one({
        'name': data.get('name')
    }, {
        '$set': data
    }, upsert=True)
 
def main(page):
    """
    main process
    :return:
    """
    index_html = scrape_index(page)
    detail_urls = parse_index(index_html)
    for detail_url in detail_urls:
        detail_html = scrape_detail(detail_url)
        data = parse_detail(detail_html)
        logging.info('get detail data %s', data)
        logging.info('saving data to mongodb')
        save_data(data)
        logging.info('data saved successfully')
 
if __name__ == '__main__':
    pool = multiprocessing.Pool()
    pages = range(1, TOTAL_PAGE + 1)
    pool.map(main, pages)
    pool.close()