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Alexandre Carette · October 21, 2024

Objectif:
Permettre de récupérer les produits d'un site Prestashop en format CSV en vue d'une importation future

Autre article sur le même thème : Scraping d'un site Prestashop avec puppetter

Disclaimer:

https://fr.wikipedia.org/wiki/Web_scraping

OS utilisé: Ubuntu 17.04
Version de scrapy 1.3.3

Version de prestashop 1.6.13

Theme: default

Instalation de scrapy (framework de web crawling en python)

dans un terminal:

sudo apt install python-pip

sudo pip install Scrapy

1) Création du projet:

scrapy startproject prestashop16

2) On édite item.py

# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html

from scrapy.item import Item, Field


class Prestashop16Item(Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    url = Field()
    balise_title = Field()
    balise_meta_description = Field()
    h1 = Field()
    reference = Field()
    quantity = Field()
    description_courte = Field()
    description_longue = Field()
    prix_ttc = Field()
    images = Field()
    main_image = Field()
    pass

3) On édite settings.py

# -*- coding: utf-8 -*-

# Scrapy settings for prestashop16 project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
#     http://doc.scrapy.org/en/latest/topics/settings.html
#     http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#     http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html

BOT_NAME = 'prestashop16'

SPIDER_MODULES = ['prestashop16.spiders']
NEWSPIDER_MODULE = 'prestashop16.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
# Ou on utilise google bot
# USER_AGENT = 'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)'
USER_AGENT = 'prestashop16 (+http://www.yourdomain.com)'

# Obey robots.txt rules
ROBOTSTXT_OBEY = True

# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32

# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs

# On crawl une page par seconde
DOWNLOAD_DELAY = 1

# On enregistre les données dans un fichier CSV
FEED_URI = '/home/nom_utilisateur/desktop/liste_produits_prestashop.csv'
# On veut un CSV
FEED_FORMAT ='csv'
FEED_EXPORTERS_BASE = {
	'csv':'scrapy.exporters.CsvItemExporter',
}

# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16

# Disable cookies (enabled by default)
#COOKIES_ENABLED = False

# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False

# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
#   'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
#   'Accept-Language': 'en',
#}

# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'prestashop16.middlewares.Prestashop16SpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
#    'prestashop16.middlewares.MyCustomDownloaderMiddleware': 543,
#}

# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
#    'scrapy.extensions.telnet.TelnetConsole': None,
#}

# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
#    'prestashop16.pipelines.Prestashop16Pipeline': 300,
#}

# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False

# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

4) On crée dans le dossiers spiders -> le fichier presta_bot.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from scrapy.spiders import CrawlSpider
from scrapy.linkextractors import LinkExtractor
from prestashop16.items import Prestashop16Item
from scrapy.selector import Selector
from scrapy.http import Request


class prestashop16(CrawlSpider):
    name="presta_bot"
    #on autorise seulement le crawl du site indiqué dans allowed_domains
    allowed_domains = ['demo-prestashop-16.terracode.de']
    # on definit l'id du produit de départ
    start_id_product = 1
    # on definit l'id du produit de fin
    end_id_product = 5

    #on boucle la requete sur la rangée d'id
    def start_requests(self):
        for i in range(self.start_id_product,self.end_id_product):
            yield Request('https://demo-prestashop-16.terracode.de/index.php?controller=product&id_product=%d' % i,
                    callback=self.parse_items)
    
    def parse_items(self,response):
        #récupération des datas récoltées (contenu de la page produit)
        sel = Selector(response)
 
        #on prépare item
        item = Prestashop16Item()

        item['url'] = response.url
        item['balise_title'] = sel.xpath('//title/text()').extract()
        item['balise_meta_description'] = sel.xpath('/html/head/meta[@name="description"]/@content').extract()
        item['h1'] = sel.xpath('//h1/text()').extract()
        item['reference'] = sel.xpath('//span[contains(@itemprop, "sku")]/@content').extract()
       	item['quantity'] = sel.xpath('//span[@id="quantityAvailable"]/text()').extract()
       	item['description_courte'] = sel.xpath('//div[@id="short_description_content"]//p/text()').extract()
        item['description_longue'] = sel.xpath('//section[@class="page-product-box"]//div[@class="rte"]//p/text()').extract()
        item['prix_ttc'] = sel.xpath('//span[contains(@itemprop, "price")]/@content').extract()
        item['images'] = sel.xpath('//ul[@id="thumbs_list_frame"]/li/a/@href').extract()
        item['main_image'] = sel.xpath('//div[@id="image-block"]//span[@id="view_full_size"]//img/@src').extract()

 
        # on fait passer item à la suite du processus
        yield item

5) on lance le bot

alexandre@ordi-alexandre:~/prestashop16$  scrapy crawl presta_bot

6) on recupere le csv sur le bureau

Alexandre Carette · May 16, 2017