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
A simple flask application to scrape gogoanime website.

gogoanime-api-flask A simple flask application to scrape gogoanime website. Used for demo and learning purposes only. How to use the API The base api

1 Oct 29, 2021
Using Selenium with Python to Web Scrap Popular Youtube Tech Channels.

Web Scrapping Popular Youtube Tech Channels with Selenium Data Mining, Data Wrangling, and Exploratory Data Analysis About the Data Web scrapi

David Rusho 0 Aug 18, 2021
Scrape all the media from an OnlyFans account - Updated regularly

Scrape all the media from an OnlyFans account - Updated regularly

CRIMINAL 3.2k Dec 29, 2022
Telegram group scraper tool

Telegram Group Scrapper

Wahyusaputra 2 Jan 11, 2022
A package that provides you Latest Cyber/Hacker News from website using Web-Scraping.

cybernews A package that provides you Latest Cyber/Hacker News from website using Web-Scraping. Latest Cyber/Hacker News Using Webscraping Developed b

Hitesh Rana 4 Jun 02, 2022
SearchifyX, predecessor to Searchify, is a fast Quizlet, Quizizz, and Brainly webscraper with various stealth features.

SearchifyX SearchifyX, predecessor to Searchify, is a fast Quizlet, Quizizz, and Brainly webscraper with various stealth features. SearchifyX lets you

28 Dec 20, 2022
Find thumbnails and original images from URL or HTML file.

Haul Find thumbnails and original images from URL or HTML file. Demo Hauler on Heroku Installation on Ubuntu $ sudo apt-get install build-essential py

Vinta Chen 150 Oct 15, 2022
Scraping news from Ucsal portal with Scrapy.

NewsScraping Esse é um projeto de raspagem das últimas noticias, de 2021, do portal da universidade Ucsal http://noosfero.ucsal.br/institucional Tecno

Crissiano Pires 0 Sep 30, 2021
OSTA web scraper, for checking the status of school buses in Ottawa

OSTA-La-Vista OSTA web scraper, for checking the status of school buses in Ottawa. Getting Started Using a Raspberry Pi, download Python 3, and option

1 Jan 28, 2022
茅台抢购最新优化版本,茅台秒杀,优化了抢购协程队列

茅台抢购最新优化版本,茅台秒杀,优化了抢购协程队列

MaoTai 33 Sep 03, 2022
A list of Python Bots used to extract data from several websites

A list of Python Bots used to extract data from several websites. Data extraction is for products on e-commerce (ecommerce) websites. Data fetched i

Sahil Ladhani 1 Jan 14, 2022
Web Scraping Practica With Python

Web-Scraping-Practica Integrants: Guillem Vidal Pallarols. Lídia Bandrés Solé Fitxers: Aquest document és el primer que trobem. A continuació trobem u

2 Nov 08, 2021
Google Developer Profile Badge Scraper

Google Developer Profile Badge Scraper GDev Profile Badge Scraper is a Google Developer Profile Web Scraper which scrapes for specific badges in a use

Siddhant Lad 7 Jan 10, 2022
原神爬虫 抓取原神界面圣遗物信息

原神圣遗物半自动爬虫 说明 直接抓取原神界面中的圣遗物数据 目前只适配了背包页面的抓取 准确率:97.5%(普通通用接口,对 40 件随机圣遗物识别,统计完全正确的数量为 39) 准确率:100%(4k 屏幕,普通通用接口,对 110 件圣遗物识别,统计完全正确的数量为 110) 不排除还有小错误的

hwa 28 Oct 10, 2022
A simple python web scraper.

Dissec A simple python web scraper. It gets a website and its contents and parses them with the help of bs4. Installation To install the requirements,

11 May 06, 2022
Scrapping the data from each page of biocides listed on the BAUA website into a csv file

Scrapping the data from each page of biocides listed on the BAUA website into a csv file

Eric DE MARIA 1 Nov 30, 2021
Simple library for exploring/scraping the web or testing a website you’re developing

Robox is a simple library with a clean interface for exploring/scraping the web or testing a website you’re developing. Robox can fetch a page, click on links and buttons, and fill out and submit for

Dan Claudiu Pop 79 Nov 27, 2022
爬取各大SRC当日公告 | 通过微信通知的小工具 | 赏金工具

OnTimeHacker V1.0 OnTimeHacker 是一个爬取各大SRC当日公告,并通过微信通知的小工具 OnTimeHacker目前版本为1.0,已支持24家SRC,列表如下 360、爱奇艺、阿里、百度、哔哩哔哩、贝壳、Boss、58、菜鸟、滴滴、斗鱼、 饿了么、瓜子、合合、享道、京东、

Bywalks 95 Jan 07, 2023
This tool crawls a list of websites and download all PDF and office documents

This tool crawls a list of websites and download all PDF and office documents. Then it analyses the PDF documents and tries to detect accessibility issues.

AccessibilityLU 7 Sep 30, 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