Scrapy脚本条件匹配失效及无详细报错问题求助
问题:Scrapy脚本无预期输出,无法定位问题
预期逻辑
读取Excel文件→提取车牌号码存入plate_num_xlsx变量(先赋默认值避免空值),通过Pandas逐个读取Excel A列的车牌值,发起请求并调用parse函数;在parse函数中执行以下逻辑:
plate = row.css('a::text').get() price = row.css('p::text').get() if plate_num_xlsx==plate.replace(" ","")
当Excel中的车牌值与网站解析的车牌值(去除空格后)匹配时,输出结果。
完整脚本代码
import scrapy from scrapy.crawler import CrawlerProcess import pandas as pd plate_num_xlsx = 'LA55ERR' class plateScraper(scrapy.Spider): name = 'scrapePlate' allowed_domains = ['dvlaregistrations.direct.gov.uk'] start_urls = [f"https://dvlaregistrations.dvla.gov.uk/search/results.html?search={plate_num_xlsx}&action=index&pricefrom=0&priceto=&prefixmatches=¤tmatches=&limitprefix=&limitcurrent=&limitauction=&searched=true&openoption=&language=en&prefix2=Search&super=&super_pricefrom=&super_priceto="] def read_xlsx(self): df=pd.read_excel('data.xlsx') columnA_values=df['PLATES'] for row in columnA_values: plate_num_xlsx=row yield scrapy.Request(start_urls.format(row)) def parse(self, response): for row in response.css('div.resultsstrip'): plate = row.css('a::text').get() price = row.css('p::text').get() if plate_num_xlsx==plate.replace(" ",""): print(plate.replace(" ", "")) yield {"plate": plate.strip(), "price": price.strip()} process = CrawlerProcess() process.crawl(plateScraper) process.start()
运行日志
C:\Users\Admin\AppData\Local\Programs\Python\Python310\python.exe C:/pythonPro/w_crawl/SimonDarak/scrpy_00.py 2023-01-15 18:07:45 [scrapy.utils.log] INFO: Scrapy 2.7.1 started (bot: scrapybot) 2023-01-15 18:07:45 [scrapy.utils.log] INFO: Versions: lxml 4.9.1.0, libxml2 2.9.12, cssselect 1.2.0, parsel 1.7.0, w3lib 2.1.1, Twisted 22.10.0, Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)], pyOpenSSL 23.0.0 (OpenSSL 3.0.7 1 Nov 2022), cryptography 39.0.0, Platform Windows-10-10.0.19044-SP0 2023-01-15 18:07:45 [scrapy.crawler] INFO: Overridden settings: {} 2023-01-15 18:07:45 [py.warnings] WARNING: C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\scrapy\utils\request.py:231: ScrapyDeprecationWarning: '2.6' is a deprecated value for the 'REQUEST_FINGERPRINTER_IMPLEMENTATION' setting. It is also the default value. In other words, it is normal to get this warning if you have not defined a value for the 'REQUEST_FINGERPRINTER_IMPLEMENTATION' setting. This is so for backward compatibility reasons, but it will change in a future version of Scrapy. See the documentation of the 'REQUEST_FINGERPRINTER_IMPLEMENTATION' setting for information on how to handle this deprecation. return cls(crawler) 2023-01-15 18:07:45 [scrapy.utils.log] DEBUG: Using reactor: twisted.internet.selectreactor.SelectReactor 2023-01-15 18:07:45 [scrapy.extensions.telnet] INFO: Telnet Password: adce4fc71429f9ef 2023-01-15 18:07:45 [scrapy.middleware] INFO: Enabled extensions: ['scrapy.extensions.corestats.CoreStats', 'scrapy.extensions.telnet.TelnetConsole', 'scrapy.extensions.logstats.LogStats'] 2023-01-15 18:07:46 [scrapy.middleware] INFO: Enabled downloader middlewares: ['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware', 'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware', 'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware', 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware', 'scrapy.downloadermiddlewares.retry.RetryMiddleware', 'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware', 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware', 'scrapy.downloadermiddlewares.redirect.RedirectMiddleware', 'scrapy.downloadermiddlewares.cookies.CookiesMiddleware', 'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware', 'scrapy.downloadermiddlewares.stats.DownloaderStats'] 2023-01-15 18:07:46 [scrapy.middleware] INFO: Enabled spider middlewares: ['scrapy.spidermiddlewares.httperror.HttpErrorMiddleware', 'scrapy.spidermiddlewares.offsite.OffsiteMiddleware', 'scrapy.spidermiddlewares.referer.RefererMiddleware', 'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware', 'scrapy.spidermiddlewares.depth.DepthMiddleware'] 2023-01-15 18:07:46 [scrapy.middleware] INFO: Enabled item pipelines: [] 2023-01-15 18:07:46 [scrapy.core.engine] INFO: Spider opened 2023-01-15 18:07:46 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min) 2023-01-15 18:07:46 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6023 2023-01-15 18:07:47 [filelock] DEBUG: Attempting to acquire lock 2802896714000 on C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\tldextract\.suffix_cache/publicsuffix.org-tlds\de84b5ca2167d4c83e38fb162f2e8738.tldextract.json.lock 2023-01-15 18:07:47 [filelock] DEBUG: Lock 2802896714000 acquired on C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\tldextract\.suffix_cache/publicsuffix.org-tlds\de84b5ca2167d4c83e38fb162f2e8738.tldextract.json.lock 2023-01-15 18:07:47 [filelock] DEBUG: Attempting to release lock 2802896714000 on C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\tldextract\.suffix_cache/publicsuffix.org-tlds\de84b5ca2167d4c83e38fb162f2e8738.tldextract.json.lock 2023-01-15 18:07:47 [filelock] DEBUG: Lock 2802896714000 released on C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\tldextract\.suffix_cache/publicsuffix.org-tlds\de84b5ca2167d4c83e38fb162f2e8738.tldextract.json.lock 2023-01-15 18:07:47 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://dvlaregistrations.dvla.gov.uk/search/results.html?search=LA55ERR&action=index&pricefrom=0&priceto=&prefixmatches=¤tmatches=&limitprefix=&limitcurrent=&limitauction=&searched=true&openoption=&language=en&prefix2=Search&super=&super_pricefrom=&super_priceto=> (referer: None) 2023-01-15 18:07:47 [scrapy.core.engine] INFO: Closing spider (finished) 2023-01-15 18:07:47 [scrapy.statscollectors] INFO: Dumping Scrapy stats: {'downloader/request_bytes': 461, 'downloader/request_count': 1, 'downloader/request_method_count/GET': 1, 'downloader/response_bytes': 11458, 'downloader/response_count': 1, 'downloader/response_status_count/200': 1, 'elapsed_time_seconds': 0.709073, 'finish_reason': 'finished', 'finish_time': datetime.datetime(2023, 1, 15, 14, 7, 47, 140805), 'httpcompression/response_bytes': 75657, 'httpcompression/response_count': 1, 'log_count/DEBUG': 6, 'log_count/INFO': 10, 'log_count/WARNING': 1, 'response_received_count': 1, 'scheduler/dequeued': 1, 'scheduler/dequeued/memory': 1, 'scheduler/enqueued': 1, 'scheduler/enqueued/memory': 1, 'start_time': datetime.datetime(2023, 1, 15, 14, 7, 46, 431732)} 2023-01-15 18:07:47 [scrapy.core.engine] INFO: Spider closed (finished) Process finished with exit code 0
问题诊断与修复
脚本无输出的核心问题及对应修复方案如下:
1. 自定义读取Excel方法未触发
Scrapy默认只会执行start_urls中的请求,自定义的read_xlsx方法不会自动调用。需将Excel读取逻辑移至start_requests方法(Scrapy生成初始请求的标准入口):
def start_requests(self): df = pd.read_excel('data.xlsx') columnA_values = df['PLATES'] for row in columnA_values: # 跳过空值避免无效请求 if pd.isna(row): continue url = f"https://dvlaregistrations.dvla.gov.uk/search/results.html?search={row}&action=index&pricefrom=0&priceto=&prefixmatches=¤tmatches=&limitprefix=&limitcurrent=&limitauction=&searched=true&openoption=&language=en&prefix2=Search&super=&super_pricefrom=&super_priceto=" # 通过meta传递当前请求的车牌值 yield scrapy.Request(url, meta={'plate_num_xlsx': row})
2. 车牌值无法正确传递到parse方法
原代码中read_xlsx里的plate_num_xlsx是局部变量,parse方法无法获取当前请求对应的车牌。需通过meta参数传递,在parse中取出使用:
def parse(self, response): plate_num_xlsx = response.meta['plate_num_xlsx'] for row in response.css('div.resultsstrip'): plate = row.css('a::text').get() price = row.css('p::text').get() # 增加非空判断,避免AttributeError if plate and plate_num_xlsx == plate.replace(" ", ""): print(plate.replace(" ", "")) yield {"plate": plate.strip(), "price": price.strip()}
3. URL拼接错误
原代码中start_urls.format(row)会报错,因为start_urls是列表而非字符串。直接构造完整URL即可,如上述start_requests中的写法。
修复后的完整代码
import scrapy from scrapy.crawler import CrawlerProcess import pandas as pd class plateScraper(scrapy.Spider): name = 'scrapePlate' allowed_domains = ['dvlaregistrations.direct.gov.uk'] def start_requests(self): df = pd.read_excel('data.xlsx') columnA_values = df['PLATES'] for row in columnA_values: if pd.isna(row): continue url = f"https://dvlaregistrations.dvla.gov.uk/search/results.html?search={row}&action=index&pricefrom=0&priceto=&prefixmatches=¤tmatches=&limitprefix=&limitcurrent=&limitauction=&searched=true&openoption=&language=en&prefix2=Search&super=&super_pricefrom=&super_priceto=" yield scrapy.Request(url, meta={'plate_num_xlsx': row}) def parse(self, response): plate_num_xlsx = response.meta['plate_num_xlsx'] for row in response.css('div.resultsstrip'): plate = row.css('a::text').get() price = row.css('p::text').get() if plate and plate_num_xlsx == plate.replace(" ", ""): print(plate.replace(" ", "")) yield {"plate": plate.strip(), "price": price.strip()} process = CrawlerProcess() process.crawl(plateScraper) process.start()
内容的提问来源于stack exchange,提问作者xlmaster
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