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ayesshaquraishi · 3 years
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Bodies of light Clip no.1 . #bodiesoflight #movingimageart #videoclips #ayesshaquraishi #ayesshaquraishistudio #waters #sea #ocean #fluidimages #waterseries #squareformatfilm #waterparts #sparklingwater #fluidpoetry #watersofearth #waterbodies #videoclip #clipvideo #closeupphotography #shortvideos #movementrecords #movementmeditation (at Bosphorus İstanbul) https://www.instagram.com/p/CS3bSc7pBjk/?utm_medium=tumblr
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t00muchcaffeine · 5 years
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Repost @revoff with @get_repost ・・・ Oh Dino you look so good in blue . Follow us: @revoff . . Photo: @grotamirah . . #ferrari #ferraridino #classicmercedes #drivetastefully #carsofinstagram #fluidimages #monterey #mclaren #porsche #stanceworks #rollhard #motorsportphotography #car #motorsport #cars #drivetastefully #classiccars #automotivedaily #classicsportscar #racing #carvintage #drivevintage #driveclassics #lovecars #classicdriver #petrolicious #vintagecar #carvintage #joyofmachine #racingdriver https://www.instagram.com/p/Bo45gMshISW/?utm_source=ig_tumblr_share&igshid=16pl3eyojb3gu
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dynosaru · 7 years
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904 Carrera GTS @roadrunner333 #porsche #904
#carreragts #classicporsche #vintageporsche #rgruppe #fluidimages #drivetastefully #classicdriver #carsofinstagram #Porscheclub #racecar #porschegram #porsche904 #porschegram #vintagecar #vintagecars #classic #classiccar #grey #car #cars #lovecars #carinstagram #instacar #dreamcar #amazing #carsofinstagram #carlifestyle #watchanish
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retailgators · 3 years
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Introduction In this blog, we will show you how we Extract Wayfair product utilizing BeautifulSoup and Python in an elegant and simple manner. This blog targets your needs to start on a practical problem resolving while possession it very modest, so you need to get practical and familiar outcomes fast as likely. So the main thing you need to check that we have installed Python 3. If don’t, you need to install Python 3 before you get started. pip3 install beautifulsoup4 We also require the library's lxml, soupsieve, and requests to collect information, fail to XML, and utilize CSS selectors. Mount them utilizing. pip3 install requests soupsieve lxml When installed, you need to open the type in and editor. # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests Now go to Wayfair page inspect and listing page the details we can need. It will look like this. wayfair-screenshot Let’s get back to the code. Let's attempt and need data by imagining we are a browser like this. # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'} url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html' response=requests.get(url,headers=headers) soup=BeautifulSoup(response.content,'lxml') Save scraper as scrapeWayfais.py If you route it python3 scrapeWayfair.py The entire HTML page will display. Now, let's utilize CSS selectors to acquire the data you need. To peruse that, you need to get back to Chrome and review the tool. wayfair-code We observe all the separate product details are checked with the period ProductCard-container. We scrape this through the CSS selector '.ProductCard-container' effortlessly. So here you can see how the code will appear like. # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'} url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html' response=requests.get(url,headers=headers) soup=BeautifulSoup(response.content,'lxml') for item in soup.select('.ProductCard-container'):  try:    print('----------------------------------------')    print(item)  except Exception as e:    #raise e    print('') This will print out all the substance in all the fundamentals that contain the product information. code-1 We can prefer out periods inside these file that comprise the information we require. We observe that the heading is inside a # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'} url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html' response=requests.get(url,headers=headers) soup=BeautifulSoup(response.content,'lxml') for item in soup.select('.ProductCard-container'):  try:    print('----------------------------------------')    #print(item)    print(item.select('.ProductCard-name')[0].get_text().strip())    print(item.select('.ProductCard-price--listPrice')[0].get_text().strip())    print(item.select('.ProductCard-price')[0].get_text().strip())    print(item.select('.pl-ReviewStars-reviews')[0].get_text().strip())    print(item.select('.pl-VisuallyHidden')[2].get_text().strip())    print(item.select('.pl-FluidImage-image')[0]['src'])  except Exception as e:    #raise e    print('') If you route it, it will publish all the information. code-2 Yeah!! We got everything. If you need to utilize this in creation and need to scale millions of links, after that you need to find out that you will need IP blocked effortlessly by Wayfair. In such case, utilizing a revolving service proxy to replace IPs is required. You can utilize advantages like API Proxies to mount your calls via pool of thousands of inhabited proxies. If you need to measure the scraping speed and don’t need to fix up infrastructure, you will be able to utilize our Cloud-base scraper RetailGators.com to effortlessly crawl millions of URLs quickly from our system. If you are looking for the best Scraping Wayfair Products with Python and Beautiful Soup, then you can contact RetailGators for all your queries.
source code: https://www.retailgators.com/scraping-wayfair-products-with-python-and-beautiful-soup.php
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3idatascraping · 3 years
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Here, we will see how to scrape Wayfair products with Python & BeautifulSoup easily and stylishly.
This blog helps you get started on real problem solving whereas keeping that very easy so that you become familiar as well as get real results as quickly as possible.
The initial thing we want is to ensure that we have installed Python 3 and if not just install it before proceeding any further.
After that, you may install BeautifulSoup using
install BeautifulSoup
pip3 install beautifulsoup4
We would also require LXML, library’s requests, as well as soupsieve for fetching data, break that down to the XML, as well as utilize CSS selectors. Then install them with:
pip3 install requests soupsieve lxml
When you install it, open the editor as well as type in.
s# -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests
Now go to the listing page of Wayfair products to inspect data we could get.
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That is how it will look:
Now, coming back to our code, let’s get the data through pretending that we are the browser like that.
# -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'} url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html' response=requests.get(url,headers=headers) soup=BeautifulSoup(response.content,'lxml')
Then save it as a scrapeWayfair.py.
In case, you run that.
python3 scrapeWayfair.py
You will get the entire HTML page.
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Now, it’s time to utilize CSS selectors for getting the required data. To do it, let’s use Chrome as well as open an inspect tool.
We observe that all individual products data are controlled within a class ‘ProductCard-container.’ We could scrape this using CSS selector ‘.ProductCard-container’ very easily. Therefore, let’s see how the code will look like:
# -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'} url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html' response=requests.get(url,headers=headers) soup=BeautifulSoup(response.content,'lxml') for item in soup.select('.ProductCard-container'):   try:      print('----------------------------------------')      print(item)   except Exception as e:      #raise e      print('')
It will print the content of all the elements, which hold the product’s data.
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Now, we can choose classes within these rows, which have the required data. We observe that a title is within the
                       # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'} url = 'https://www.wayfair.com/rugs/sb0/area-rugs-c215386.html' response=requests.get(url,headers=headers) soup=BeautifulSoup(response.content,'lxml') for item in soup.select('.ProductCard-container'):   try:      print('----------------------------------------')      #print(item)      print(item.select('.ProductCard-name')[0].get_text().strip())      print(item.select('.ProductCard-price--listPrice')[0].get_text().strip())      print(item.select('.ProductCard-price')[0].get_text().strip())      print(item.select('.pl-ReviewStars-reviews')[0].get_text().strip())      print(item.select('.pl-VisuallyHidden')[2].get_text().strip())      print(item.select('.pl-FluidImage-image')[0]['src'])   except Exception as e:      #raise e      print('')
In case, you run that, it would print all the information.
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And that’s it!! We have done that!
If you wish to utilize this in the production as well as wish to scale it to thousand links, you will discover that you would get the IP blocked very easily with Wayfair. With this scenario, utilizing rotating proxy services for rotating IPs is nearly a must. You may utilize the services including Proxies API for routing your calls using the pool of millions of domestic proxies.
In case, you wish to scale crawling speed as well as don’t wish to set the infrastructure, then you can utilize our Wayfair data crawler to easily scrape thousands of URLs with higher speed from the network of different crawlers. For more information, contact us!
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takanomasahiro · 7 years
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「セミナーのアンケートは手書きに限る」と考える理由
セミナー運営10年以上、700回以上をまわしていますが、「セミナーのアンケートは手書きに限る」と考えています。
そのプロコン(いい点・悪い点)をまとめてみました。
私が主催するセミナーイベントでは、セミナー終了後、その日のうちに、手書きのアンケートをスキャンし、講演者に共有しています。 これによって「講演者がその日のうちにレビューできる」ことが実現できます。
継続していくセミナーでは、講師の成長がキーです。そこで重要なのが講師の自己レビュー。記憶が新しいうちに、アンケートを読み、ビデオを見ながら、「ここはこうしたらよかったな」と振り返る時間が不可欠です。「ここがわからなかった」「この理解で正しいの?」など、アンケートに記入された質問にもいち早く回答することができます。
唯一の難点は、集計が面倒なこと。でも、これは手分けして頑張ればいいのでは? これはと思うコメント以外、文字拾いする必要はないし。
 オンライン手書き記入するタイミングセミナー終了の数日後セミナー中講演者が読めるのは〆切りのさらに後その晩(スキャンしたタイミング)集計楽勝面倒傾向辛辣になりがち手書きによる人柄や、ムードが出るその他そもそも後日、いくつものセッションについて覚えて���るのか、疑問が残る現場で記入することで、参加者が自分のまとめとして用いることができる回収率アンケート回答者のみにスライドを提供するなど、「ニンジン」方式で回収率を上げることができるセッションごとに記入の時間を設けることで回収率が上がる(「せっかくここまで記入したし、置いて行こう」という心理が働く)
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digitalflarelondon · 7 years
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The #Porsche #904 #GTS #083 featuring in next weeks #Classic&SportsCar magazine. Great photo by Tim Scott #fluidimages - The car was upgraded in 1964 to series 2 specification (as per 6 cylinder 904s) with a strengthened chassis, short doors, windup windows, a central fuel filler and a Kamm tail. From that point forwards the car led a successful and active life of competition until it was retired in 1968. Left in original time warp condition until the 90’s this example was very correctly and sympathetically restored following its discovery. Today the car represents an opportunity to acquire one of the finest examples extant that not only retains its original matching numbers motor but also gearbox (extremely rare for a 904). The original motor accompanies the car but a period correct 6 cylinder motor is fitted making it ideal for tours, racing or road use. # http://ift.tt/2npV8bf
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t00muchcaffeine · 5 years
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Repost @revoff with @get_repost ・・・ Sunday drives can never be better than this Ockelbo-Ferrari . Follow us: @revoff . Photo: @mauricevolmeyer . Erik Lundgren built and sold tuning items and in the mid-1950s he heard about a burned-out Alfa Romeo Giulietta Sprint and got the idea to make his own bodywork for it. He made a fibreglass mould using Uffe Norinder's Ferrari 500 Mondial and then started making his own bodies. They were considered very good and could take many different power plants. The Ockelbo-Ferrari is still made, under the Pagano brand . . #ockelbo #drivetastefully #ferrari #carsofinstagram #fluidimages #monterey #mclaren #porsche #stanceworks #rollhard #motorsportphotography #car #motorsport #cars #classiccars #automotivedaily #classicsportscar #racing #carvintage #drivevintage #driveclassics #lovecars #classicdriver #petrolicious #vintagecar #joyofmachine #racingdriver https://www.instagram.com/p/Bpt2b8qAi_2/?utm_source=ig_tumblr_share&igshid=19f0mr10ikvw8
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t00muchcaffeine · 5 years
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Repost @revoff with @get_repost ・・・ Rare car with rare view. This is the 1954 Fiat 2000CC V8 . Follow us: @revoff . Photo: @fabriziodaloisio . . #fiat #alfa #alfa #ferrari #drivetastefully #carsofinstagram #fluidimages #mclaren #porsche #stanceworks #rollhard #motorsportphotography #car #motorsport #cars #drivetastefully #classiccars #automotivedaily #classicsportscar #racing #carvintage #drivevintage #driveclassics #lovecars #classicdriver #petrolicious #vintagecar #carvintage #joyofmachine #racingdriver https://www.instagram.com/p/BpO3ImWh1pw/?utm_source=ig_tumblr_share&igshid=1n4szdkao1wko
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t00muchcaffeine · 6 years
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Repost @revoff with @get_repost ・・・ Aqua Blue Stingy Corvette Stingray . . Follow us: @revoff . . Photo @dshibarshin . . #drivetastefully #weshipclassics #corvettestingray #corvette #carsofinstagram #fluidimages #monterey #mclaren #porsche #stanceworks #rollhard #motorsportphotography #car #motorsport #cars #drivetastefully #classiccars #automotivedaily #classicsportscar #racing #carvintage #drivevintage #driveclassics #lovecars #classicdriver #petrolicious #vintagecar #carvintage #joyofmachine #racingdriver https://www.instagram.com/p/BoFXsXkB3rl/?utm_source=ig_tumblr_share&igshid=1h80ishf1gdmg
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t00muchcaffeine · 5 years
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Repost @revoff with @get_repost ・・・ There is art and there are masterpieces. This Alfa Romeo Tipo 33 “Periscopica” 1967’ is what we consider to be a masterpiece . . Follow us: @revoff . Photo: @tshaxson . . #alfaromeo #masterpiece #tipo33 #alfa #ferrari #drivetastefully #carsofinstagram #fluidimages #mclaren #porsche #stanceworks #rollhard #motorsportphotography #car #motorsport #cars #drivetastefully #classiccars #automotivedaily #classicsportscar #racing #carvintage #drivevintage #driveclassics #lovecars #classicdriver #petrolicious #vintagecar #carvintage #joyofmachine #racingdriver https://www.instagram.com/p/BpO2-4XhZ84/?utm_source=ig_tumblr_share&igshid=1ejls9qm96fj0
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