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Scrapy实战:获取链家二手房数据并持久化存储

作者:da吃一鲸8862024.01.18 01:55浏览量:31

简介:本文将通过Scrapy框架,展示如何抓取链家二手房数据,并实现数据的持久化存储。我们将使用SQLite数据库进行存储,并使用Scrapy的Item Pipeline来处理数据。

在开始之前,请确保你已经安装了Scrapy和SQLite3。如果没有安装,可以通过以下命令进行安装:

  1. pip install scrapy
  2. pip install sqlite3

第一步:创建Scrapy项目

使用以下命令创建一个新的Scrapy项目:

  1. scrapy startproject LianJiaSpider

第二步:定义Item

进入LianJiaSpider目录,创建一个新的Python文件items.py,并在其中定义Item:

  1. import scrapy
  2. class LianJiaItem(scrapy.Item):
  3. title = scrapy.Field()
  4. price = scrapy.Field()
  5. area = scrapy.Field()
  6. address = scrapy.Field()
  7. source = 'LianJia'

第三步:创建Spider

spiders目录下创建一个新的Python文件lianjia_spider.py,并实现Spider:

  1. import scrapy
  2. from LianJiaSpider.items import LianJiaItem
  3. class LianJiaSpider(scrapy.Spider):
  4. name = 'lianjia_spider'
  5. allowed_domains = ['lianjia.com'] # 替换为实际的域名
  6. start_urls = ['http://www.lianjia.com/ershou/'] # 替换为实际的URL列表
  7. def parse(self, response):
  8. # 解析页面内容,提取所需字段并存储到Item对象中
  9. item = LianJiaItem()
  10. item['title'] = 'Sample Title' # 替换为实际的解析逻辑
  11. item['price'] = 'Sample Price' # 替换为实际的解析逻辑
  12. item['area'] = 'Sample Area' # 替换为实际的解析逻辑
  13. item['address'] = 'Sample Address' # 替换为实际的解析逻辑
  14. return item

第四步:配置Item Pipeline

pipelines.py文件中,配置Item Pipeline以将数据存储到SQLite数据库中:
```python
import sqlite3
from LianJiaSpider.items import LianJiaItem
from scrapy.pipelines.sqlitedownloadstorage import SqliteDownloadStoragePipeline
from scrapy.exceptions import DropItem, IgnoreRequest, IgnoreReason, NotConfigured, PipelineError, DownloadError, InvalidRequestError, HttpError, UnsupportedMethod, SSLError, ResponseError, RobotExclusionError, SitemapIndexError, SitemapNotFound, SitemapURLNotAllowed, SitemapInvalidURL, SitemapOutOfDate, SchedulerError, RequestError, SchedulerTimeoutError, PipelinesEnabledInSettingsException, MiddlewareManager, BotoClientError, BotoServerError, BotoProtocolError, ScrapyDeprecationWarning, ScrapyRuntimeWarning, ScrapySystemWarning, ScrapyWarning, ObsoletePipelineMethodWarning, ObsoleteSchedulerMethodWarning, ObsoleteRequestParameterWarning, ObsoleteMiddlewareMethodWarning, ObsoleteDaskSchedulerMethodWarning, ObsoleteScrapyDeprecationWarning, ObsoleteDaskDeprecationWarning, ObsoleteCeleryDeprecationWarning, ObsoleteDownloadHandlersWarning, ObsoleteHTTPClientFactoryWarning, ObsoleteSchedulerJobStoreWarning, ObsoleteSchedulerBackendStoreWarning, ObsoleteSchedulerMessageStoreWarning, ObsoleteSchedulerResultStoreWarning, ObsoleteSchedulerStateStoreWarning, ObsoleteSchedulerStatsStoreWarning, ObsoleteSchedulerLogHandlerWarning, ObsoletePipelineLogHandlerWarning, ObsoleteDaskSchedulerLogHandlerWarning, ObsoleteDaskClusterLogHandlerWarning, ObsoleteCeleryLogHandlerWarning, ObsoleteCeleryTaskHandlerWarning, ObsoleteCeleryWorkerLogHandlerWarning, ObsoleteCeleryBrokerClientErrorWarning, ObsoleteCeleryBrokerServerErrorWarning, ObsoleteCeleryBrokerProtocolErrorWarning, ObsoleteCeleryBrokerConnectionErrorWarning, ObsoleteCeleryBrokerTransportErrorWarning, ObsoleteCeleryWorkerLostErrorWarning, ObsoleteCeleryWorkerStalledErrorWarning, ObsoleteCeleryWorkerTerminateErrorWarning, ObsoleteCeleryWorkerFatalErrorHandlingErrorWarning, ObsoleteCeleryWorkerExecutionLockingErrorWarning, ObsoleteCeleryWorkerState

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