{"id":11728,"date":"2022-09-28T09:36:27","date_gmt":"2022-09-28T04:06:27","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/"},"modified":"2022-09-28T09:36:27","modified_gmt":"2022-09-28T04:06:27","slug":"solved-web-scraping-beautifulsoup-next-page-parsing","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/","title":{"rendered":"[Solved] Web Scraping & BeautifulSoup – Next Page parsing"},"content":{"rendered":"

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Try this:
\nIf you want cvs file<\/code> then you finish the line print(df)<\/code> and use df.to_csv(\"prod.csv\")<\/code> I have written in code to get csv file<\/p>\n

import requests\nfrom bs4 import BeautifulSoup\nimport pandas as pd\nheaders = {'User-Agent': 'Mozilla\/5.0'}\ntemp=[]\nfor page in range(1, 20):\n    response = requests.get(\"https:\/\/www.avbuyer.com\/aircraft\/private-jets\/page-{page}\".format(page=page),headers=headers,)\n    soup = BeautifulSoup(response.content, 'html.parser')\n    postings = soup.find_all('div', class_='grid-x list-content')\n    for post in postings:\n        plane = post.find('h2', class_='item-title').text\n        try:\n            price = post.find('div', class_='price').text\n        except:\n            price=\" \"\n        location = post.find('div', class_='list-item-location').text\n        t=post.find_all('div',class_='list-other-dtl')\n        for i in t:\n            data=[tup.text for tup in i.find_all('li')]\n            years=data[0]\n            s=data[1]\n            total_time=data[2]\n            temp.append([plane,price,location,years,s,total_time])\n\ndf=pd.DataFrame(temp,columns=[\"plane\",\"price\",\"location\",\"Years\",\"S\/N\",\"Totaltime\"])\nprint(df)\n<\/code><\/pre>\n
output:<\/p>\n
                      plane         price  ...             S\/N         Totaltime\n0            Gulfstream G280     Make offer  ...        S\/N 2007   Total Time 2528\n1    Dassault Falcon 2000LXS     Make offer  ...         S\/N 377     Total Time 33\n2       Cirrus Vision SF50 G1  Please call   ...        S\/N 0080    Total Time 615\n3              Gulfstream IV     Make offer  ...        S\/N 1148   Total Time 6425\n4            Gulfstream G280     Make offer  ...        S\/N 2072   Total Time 1918\n..                        ...           ...  ...             ...               ...\n342       Embraer Phenom 100       Now Sold  ...    S\/N 50000035   Total Time 3417\n343          Gulfstream G200       Now Sold  ...         S\/N 152   Total Time 7209\n344     Cessna Citation XLS+       Now Sold  ...           S\/N -      Total Time -\n345    Cessna Citation Ultra       Now Sold  ...    S\/N 560-0393  Total Time 12947\n346    Cessna Citation Excel       Now Sold  ...  S\/N 560XL-5253   Total Time 4850\n<\/code><\/pre>\n<\/p><\/div>\n
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            10<\/span> <\/p><\/div>\n<\/div>\n
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solved Web Scraping & BeautifulSoup – Next Page parsing <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] Try this: If you want cvs file then you finish the line print(df) and use df.to_csv(“prod.csv”) I have written in code to get csv file import requests from bs4 import BeautifulSoup import pandas as pd headers = {‘User-Agent’: ‘Mozilla\/5.0’} temp=[] for page in range(1, 20): response = requests.get(“https:\/\/www.avbuyer.com\/aircraft\/private-jets\/page-{page}”.format(page=page),headers=headers,) soup = BeautifulSoup(response.content, ‘html.parser’) postings = … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[622,349,760],"class_list":["post-11728","post","type-post","status-publish","format-standard","hentry","category-solved","tag-beautifulsoup","tag-python","tag-web-scraping"],"yoast_head":"\n[Solved] Web Scraping & BeautifulSoup - Next Page parsing - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Web Scraping & BeautifulSoup - Next Page parsing - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] Try this: If you want cvs file then you finish the line print(df) and use df.to_csv("prod.csv") I have written in code to get csv file import requests from bs4 import BeautifulSoup import pandas as pd headers = {'User-Agent': 'Mozilla\/5.0'} temp=[] for page in range(1, 20): response = requests.get("https:\/\/www.avbuyer.com\/aircraft\/private-jets\/page-{page}".format(page=page),headers=headers,) soup = BeautifulSoup(response.content, 'html.parser') postings = ... Read more\" \/>\n<meta property=\"og:url\" content=\"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/\" \/>\n<meta property=\"og:site_name\" content=\"JassWeb\" \/>\n<meta property=\"article:published_time\" content=\"2022-09-28T04:06:27+00:00\" \/>\n<meta name=\"author\" content=\"Kirat\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kirat\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/\"},\"author\":{\"name\":\"Kirat\",\"@id\":\"https:\/\/jassweb.com\/solved\/#\/schema\/person\/65c9c7b7958150c0dc8371fa35dd7c31\"},\"headline\":\"[Solved] Web Scraping & BeautifulSoup – Next Page parsing\",\"datePublished\":\"2022-09-28T04:06:27+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/\"},\"wordCount\":40,\"publisher\":{\"@id\":\"https:\/\/jassweb.com\/solved\/#organization\"},\"keywords\":[\"beautifulsoup\",\"python\",\"web-scraping\"],\"articleSection\":[\"Solved\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/\",\"url\":\"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/\",\"name\":\"[Solved] Web Scraping & BeautifulSoup - 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Next Page parsing - JassWeb","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/jassweb.com\/solved\/solved-web-scraping-beautifulsoup-next-page-parsing\/","og_locale":"en_US","og_type":"article","og_title":"[Solved] Web Scraping & BeautifulSoup - Next Page parsing - JassWeb","og_description":"[ad_1] Try this: If you want cvs file then you finish the line print(df) and use df.to_csv(\"prod.csv\") I have written in code to get csv file import requests from bs4 import BeautifulSoup import pandas as pd headers = {'User-Agent': 'Mozilla\/5.0'} temp=[] for page in range(1, 20): response = requests.get(\"https:\/\/www.avbuyer.com\/aircraft\/private-jets\/page-{page}\".format(page=page),headers=headers,) soup = BeautifulSoup(response.content, 'html.parser') postings = ... 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