Scrapy uses Request and Response objects for crawling web sites.

Overview

Requests and Responses¶

Scrapy uses Request and Response objects for crawling web sites.

Typically, Request objects are generated in the spiders and pass across the system until they reach the Downloader, which executes the request and returns a Response object which travels back to the spider that issued the request.

Both Request and Response classes have subclasses which add functionality not required in the base classes. These are described below in Request subclasses and Response subclasses.

Request objects¶

classscrapy.http.Request(*args, **kwargs)[source]¶ A Request object represents an HTTP request, which is usually generated in the Spider and executed by the Downloader, and thus generating a Response.

Parameters url (str) –

the URL of this request

If the URL is invalid, a ValueError exception is raised.

callback (collections.abc.Callable) – the function that will be called with the response of this request (once it’s downloaded) as its first parameter. For more information see Passing additional data to callback functions below. If a Request doesn’t specify a callback, the spider’s parse() method will be used. Note that if exceptions are raised during processing, errback is called instead.

method (str) – the HTTP method of this request. Defaults to 'GET'.

meta (dict) – the initial values for the Request.meta attribute. If given, the dict passed in this parameter will be shallow copied.

body (bytes or str) – the request body. If a string is passed, then it’s encoded as bytes using the encoding passed (which defaults to utf-8). If body is not given, an empty bytes object is stored. Regardless of the type of this argument, the final value stored will be a bytes object (never a string or None).

headers (dict) –

the headers of this request. The dict values can be strings (for single valued headers) or lists (for multi-valued headers). If None is passed as value, the HTTP header will not be sent at all.

Caution

Cookies set via the Cookie header are not considered by the CookiesMiddleware. If you need to set cookies for a request, use the Request.cookies parameter. This is a known current limitation that is being worked on.

cookies (dict or list) –

the request cookies. These can be sent in two forms.

Using a dict:

request_with_cookies = Request(url="http://www.example.com", cookies={'currency': 'USD', 'country': 'UY'}) Using a list of dicts:

request_with_cookies = Request(url="http://www.example.com", cookies=[{'name': 'currency', 'value': 'USD', 'domain': 'example.com', 'path': '/currency'}])

The latter form allows for customizing the domain and path attributes of the cookie. This is only useful if the cookies are saved for later requests.

When some site returns cookies (in a response) those are stored in the cookies for that domain and will be sent again in future requests. That’s the typical behaviour of any regular web browser.

To create a request that does not send stored cookies and does not store received cookies, set the dont_merge_cookies key to True in request.meta.

Example of a request that sends manually-defined cookies and ignores cookie storage:

Request( url="http://www.example.com", cookies={'currency': 'USD', 'country': 'UY'}, meta={'dont_merge_cookies': True}, ) For more info see CookiesMiddleware.

Caution

Cookies set via the Cookie header are not considered by the CookiesMiddleware. If you need to set cookies for a request, use the Request.cookies parameter. This is a known current limitation that is being worked on.

encoding (str) – the encoding of this request (defaults to 'utf-8'). This encoding will be used to percent-encode the URL and to convert the body to bytes (if given as a string).

priority (int) – the priority of this request (defaults to 0). The priority is used by the scheduler to define the order used to process requests. Requests with a higher priority value will execute earlier. Negative values are allowed in order to indicate relatively low-priority.

dont_filter (bool) – indicates that this request should not be filtered by the scheduler. This is used when you want to perform an identical request multiple times, to ignore the duplicates filter. Use it with care, or you will get into crawling loops. Default to False.

errback (collections.abc.Callable) –

a function that will be called if any exception was raised while processing the request. This includes pages that failed with 404 HTTP errors and such. It receives a Failure as first parameter. For more information, see Using errbacks to catch exceptions in request processing below.

Changed in version 2.0: The callback parameter is no longer required when the errback parameter is specified.

flags (list) – Flags sent to the request, can be used for logging or similar purposes.

cb_kwargs (dict) – A dict with arbitrary data that will be passed as keyword arguments to the Request’s callback.

Owner
Md Rashidul Islam
Md Rashidul Islam
基于Github Action的定时HITsz疫情上报脚本,开箱即用

HITsz Daily Report 基于 GitHub Actions 的「HITsz 疫情系统」访问入口 定时自动上报脚本,开箱即用。 感谢 @JellyBeanXiewh 提供原始脚本和 idea。 感谢 @bugstop 对脚本进行重构并新增 Easy Connect 校内代理访问。

Ter 56 Nov 27, 2022
Jobinja.ir jobs scraper.

Jobinja.ir Dataset Introduction This project is a simple web scraper that scraps pages of jobinja.ir concurrently and writes and update (if file gets

Iman Kermani 3 Apr 15, 2022
Twitter Claimer / Swapper / Turbo - Proxyless - Multithreading

Twitter Turbo / Auto Claimer / Swapper Version: 1.0 Last Update: 01/26/2022 Use this at your own descretion. I've only used this on test accounts and

Underscores 6 May 02, 2022
A simplistic scraper made to download tons of random screenshots made by people.

printStealer 1.1 What is this tool? This tool is developed to show the insecurity of the screenshot utility called prnt sc. It is a site that stores s

appelsiensam 4 Jul 26, 2022
Creating Scrapy scrapers via the Django admin interface

django-dynamic-scraper Django Dynamic Scraper (DDS) is an app for Django which builds on top of the scraping framework Scrapy and lets you create and

Holger Drewes 1.1k Dec 17, 2022
Transistor, a Python web scraping framework for intelligent use cases.

Web data collection and storage for intelligent use cases. transistor About The web is full of data. Transistor is a web scraping framework for collec

BOM Quote Manufacturing 212 Nov 05, 2022
Explore scraping with BeautifulSoup!

beautifulsoup-scrape Explore scraping with BeautifulSoup! Part One: Start from Shakespeare As my professor is a poet (yes, and he teaches me data and

Chuqin 2 Oct 05, 2022
爬虫案例合集。包括但不限于《淘宝、京东、天猫、豆瓣、抖音、快手、微博、微信、阿里、头条、pdd、优酷、爱奇艺、携程、12306、58、搜狐、百度指数、维普万方、Zlibraty、Oalib、小说、招标网、采购网、小红书》

lxSpider 爬虫案例合集。包括但不限于《淘宝、京东、天猫、豆瓣、抖音、快手、微博、微信、阿里、头条、pdd、优酷、爱奇艺、携程、12306、58、搜狐、百度指数、维普万方、Zlibraty、Oalib、小说网站、招标采购网》 简介: 时光荏苒,记不清写了多少案例了。

lx 793 Jan 05, 2023
Crawl the information of a given keyword on Google search engine

Crawl the information of a given keyword on Google search engine

4 Nov 09, 2022
🥫 The simple, fast, and modern web scraping library

About gazpacho is a simple, fast, and modern web scraping library. The library is stable, actively maintained, and installed with zero dependencies. I

Max Humber 692 Dec 22, 2022
Displays market info for the LUNI token on the Terra Blockchain

LuniBot for Discord Displays market info for the LUNI/LUNA token on the Terra Blockchain (Webscrape method currently scraping CoinMarketCap). Will evo

0 Jan 22, 2022
一款利用Python来自动获取QQ音乐上某个歌手所有歌曲歌词的爬虫软件

QQ音乐歌词爬虫 一款利用Python来自动获取QQ音乐上某个歌手所有歌曲歌词的爬虫软件,默认去除了所有演唱会(Live)版本的歌曲。 使用方法 直接运行python run.py即可,然后输入你想获取的歌手名字,然后静静等待片刻。 output目录下保存生成的歌词和歌名文件。以周杰伦为例,会生成两

Yang Wei 11 Jul 27, 2022
Bigdata - This Scrapy project uses Redis and Kafka to create a distributed on demand scraping cluster

Scrapy Cluster This Scrapy project uses Redis and Kafka to create a distributed

Hanh Pham Van 0 Jan 06, 2022
A Smart, Automatic, Fast and Lightweight Web Scraper for Python

AutoScraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python This project is made for automatic web scraping to make scraping easy. It

Mika 4.8k Jan 04, 2023
Crawler do site Fundamentus.com com o uso do framework scrapy, tanto da aba detalhada como a de resumo.

Crawler do site Fundamentus.com com o uso do framework scrapy, tanto da aba detalhada como a de resumo. (Todas as infomações)

Guilherme Silva Uchoa 3 Oct 04, 2022
Collection of code files to scrap different kinds of websites.

STW-Collection Scrap The Web Collection; blog posts. This repo contains Scrapy sample code to scrap the following kind of websites: Do you want to lea

Tapasweni Pathak 15 Jun 08, 2022
A tool to easily scrape youtube data using the Google API

YouTube data scraper To easily scrape any data from the youtube homepage, a youtube channel/user, search results, playlists, and a single video itself

7 Dec 03, 2022
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Pattern Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM par

Computational Linguistics Research Group 8.4k Jan 08, 2023
Scrape plants scientific name information from Agroforestry Species Switchboard 2.0.

Agroforestry Species Switchboard 2.0 Scraper Scrape plants scientific name information from Species Switchboard 2.0. Requirements python = 3.10 (you

Mgs. M. Rizqi Fadhlurrahman 2 Dec 23, 2021
Web and PDF Scraper Refactoring

Web and PDF Scraper Refactoring This repository contains the example code of the Web and PDF scraper code roast. Here are the links to the videos: Par

18 Dec 31, 2022