Alt \u00d6\u011fe<\/span><\/li>\n <\/ul>\n Alt paragraf<\/p>\n<\/div>\n\"\"\"\nsoup_complex = BeautifulSoup(html_complex, 'lxml')\n\ncontainer = soup_complex.find('div', class_='container')\nif container:\n # T\u00fcm \u00e7ocuk elemanlara eri\u015fim (do\u011frudan \u00e7ocuklar)\n for child in container.children:\n if child.name: # Sadece etiketleri dikkate al\n print(f\"Container'\u0131n \u00e7ocu\u011fu: {child.name}\")\n\n # T\u00fcm alt elemanlara eri\u015fim (t\u00fcm nesiller)\n for descendant in container.descendants:\n if descendant.name:\n print(f\"Container'\u0131n alt eleman\u0131: {descendant.name}\")\n\n # Ebeveyn elemana eri\u015fim\n list_item = soup_complex.find('span')\n if list_item:\n print(f\"Span'\u0131n ebeveyni: {list_item.parent.name}\")\n print(f\"Span'\u0131n b\u00fcy\u00fck ebeveyni (grandparent): {list_item.parent.parent.name}\")\n\n # Karde\u015f elemanlara eri\u015fim\n first_li = soup_complex.find('li')\n if first_li:\n print(f\"\u0130lk li'nin sonraki karde\u015fi: {first_li.next_sibling.next_sibling.name}\") # Metin d\u00fc\u011f\u00fcmlerini atlamak i\u00e7in iki kez .next_sibling kullan\u0131ld\u0131\n print(f\"\u0130lk li'nin \u00f6nceki karde\u015fi: {first_li.previous_sibling.previous_sibling.name}\")<\/code><\/pre>\n
Requests ve Beautiful Soup’u Birlikte Kullanma<\/h2>\n
\u015eimdiye kadar \u00f6\u011frendi\u011fimiz Requests<\/code> ve Beautiful Soup<\/code> k\u00fct\u00fcphanelerini birle\u015ftirerek ger\u00e7ek bir web scraping g\u00f6revi ger\u00e7ekle\u015ftirelim.<\/p>\nGenel \u0130\u015f Ak\u0131\u015f\u0131<\/h3>\n
1. URL Belirle:<\/strong> Veri \u00e7ekmek istedi\u011finiz web sayfas\u0131n\u0131n URL’sini belirleyin.
\n2. HTTP \u0130ste\u011fi Yap:<\/strong> requests.get()<\/code> kullanarak bu URL’ye bir GET iste\u011fi g\u00f6nderin.
\n3. Yan\u0131t\u0131 Kontrol Et:<\/strong> response.status_code<\/code> ile iste\u011fin ba\u015far\u0131l\u0131 olup olmad\u0131\u011f\u0131n\u0131 kontrol edin.
\n4. HTML \u0130\u00e7eri\u011fini Al:<\/strong> response.text<\/code> ile sayfan\u0131n HTML i\u00e7eri\u011fini al\u0131n.
\n5. Beautiful Soup Nesnesi Olu\u015ftur:<\/strong> Al\u0131nan HTML i\u00e7eri\u011fini BeautifulSoup<\/code>‘a ileterek bir ayr\u0131\u015ft\u0131rma nesnesi olu\u015fturun.
\n6. Verileri Se\u00e7 ve \u00c7\u0131kar:<\/strong> find()<\/code>, find_all()<\/code>, select()<\/code> gibi metodlar\u0131 kullanarak istedi\u011finiz HTML elemanlar\u0131n\u0131 bulun ve bunlardan veriyi (metin, nitelikler vb.) \u00e7\u0131kar\u0131n.
\n7. Verileri \u0130\u015fle\/Kaydet:<\/strong> \u00c7ekti\u011finiz verileri bir listeye, s\u00f6zl\u00fc\u011fe ekleyin veya do\u011frudan bir dosyaya (CSV, JSON) kaydedin.<\/p>\nPratik Bir \u00d6rnek: Bir Blog Sayfas\u0131ndan Ba\u015fl\u0131k ve Linkleri \u00c7ekme<\/h3>\n
\u00d6rnek olarak, bir blog sayfas\u0131ndaki t\u00fcm makale ba\u015fl\u0131klar\u0131n\u0131 ve bunlara ait linkleri \u00e7ekelim. Ger\u00e7ek bir site yerine, bu ama\u00e7 i\u00e7in basit bir HTML yap\u0131s\u0131 kullanaca\u011f\u0131z.<\/p>\n
import requests\nfrom bs4 import BeautifulSoup\nimport time # \u0130stekler aras\u0131nda gecikme i\u00e7in\n\n\u00d6rnek bir URL (ger\u00e7ek bir siteye istek g\u00f6ndermek yerine basit bir \u00f6rnek)<\/h2>\nGer\u00e7ek bir web sitesi i\u00e7in 'https:\/\/www.example-blog.com\/articles' gibi bir URL kullanabilirsiniz.<\/h2>\nBu \u00f6rnekte, HTML i\u00e7eri\u011fini do\u011frudan kodda tan\u0131mlayaca\u011f\u0131z.<\/h2>\nsample_html = \"\"\"\n\n\n\n \u00d6rnek Blog Yaz\u0131lar\u0131<\/title>\n<\/head>\n<body>\n <div id=\"main-content\">\n \n <div class=\"article-list\">\n <div class=\"article-item\">\n <h2><a href=\"\/yazi\/ilk-yazi\">Python ile Web Scraping'e Giri\u015f<\/a><\/h2>\n <p class=\"summary\">Requests ve Beautiful Soup kullanarak veri \u00e7ekmenin temelleri.<\/p>\n <span class=\"date\">2023-10-26<\/span>\n <\/div>\n <div class=\"article-item\">\n <h2><a href=\"\/yazi\/ikinci-yazi\">Makine \u00d6\u011frenimi Temelleri<\/a><\/h2>\n <p class=\"summary\">Veri bilimine ilk ad\u0131m: Algoritmalar ve uygulamalar.<\/p>\n <span class=\"date\">2023-10-20<\/span>\n <\/div>\n <div class=\"article-item\">\n <h2><a href=\"\/yazi\/ucuncu-yazi\">Veritaban\u0131 Y\u00f6netimi<\/a><\/h2>\n <p class=\"summary\">SQL ve NoSQL veritabanlar\u0131na genel bak\u0131\u015f.<\/p>\n <span class=\"date\">2023-10-15<\/span>\n <\/div>\n <\/div>\n <div class=\"pagination\">\n <a href=\"\/page\/2\">Sonraki Sayfa<\/a>\n <\/div>\n <\/div>\n<\/body>\n<\/html>\n\"\"\"\n\ndef get_blog_articles(html_content):\n \"\"\"\n Verilen HTML i\u00e7eri\u011finden blog makalesi ba\u015fl\u0131klar\u0131n\u0131 ve linklerini \u00e7eker.\n \"\"\"\n soup = BeautifulSoup(html_content, 'lxml')\n articles = []\n\n # T\u00fcm 'article-item' div'lerini bul\n article_items = soup.find_all('div', class_='article-item')\n\n for item in article_items:\n title_tag = item.find('h2').find('a') # h2 i\u00e7indeki a etiketini bul\n summary_tag = item.find('p', class_='summary')\n date_tag = item.find('span', class_='date')\n\n if title_tag and summary_tag and date_tag:\n title = title_tag.get_text(strip=True)\n link = title_tag.get('href')\n summary = summary_tag.get_text(strip=True)\n date = date_tag.get_text(strip=True)\n\n articles.append({\n 'title': title,\n 'link': link,\n 'summary': summary,\n 'date': date\n })\n return articles\n\ndef scrape_blog_page(url):\n \"\"\"\n Belirtilen URL'den blog makalelerini \u00e7eker.\n \"\"\"\n headers = {\n \"User-Agent\": \"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/109.0.0.0 Safari\/537.36\"\n }\n try:\n response = requests.get(url, headers=headers, timeout=10)\n response.raise_for_status() # HTTP hatalar\u0131 i\u00e7in istisna f\u0131rlat\u0131r\n print(f\"'{url}' adresinden veri ba\u015far\u0131yla al\u0131nd\u0131.\")\n return get_blog_articles(response.text)\n except requests.exceptions.RequestException as e:\n print(f\"Hata olu\u015ftu: {e}\")\n return []\n\n<h2>Ger\u00e7ek bir URL ile kullan\u0131m \u00f6rne\u011fi (bu k\u0131sm\u0131 yorum sat\u0131r\u0131ndan \u00e7\u0131kar\u0131p deneyebilirsiniz)<\/h2>\n<h2>target_url = \"https:\/\/medium.com\/tag\/python\" # Veya ba\u015fka bir blog sayfas\u0131<\/h2>\n<h2>scraped_articles = scrape_blog_page(target_url)<\/h2>\n\n<h2>\u00d6rnek HTML i\u00e7eri\u011fi ile kullan\u0131m<\/h2>\nprint(\"\u00d6rnek HTML i\u00e7eri\u011finden veri \u00e7ekiliyor...\")\nscraped_articles = get_blog_articles(sample_html)\n\nif scraped_articles:\n print(\"\\n\u00c7ekilen Makaleler:\")\n for article in scraped_articles:\n print(f\" Ba\u015fl\u0131k: {article['title']}\")\n print(f\" Link: {article['link']}\")\n print(f\" \u00d6zet: {article['summary']}\")\n print(f\" Tarih: {article['date']}\")\n print(\"-\" * 20)\nelse:\n print(\"Makale bulunamad\u0131 veya bir hata olu\u015ftu.\")\n\n<h2>Not: Ger\u00e7ek bir web sitesinden veri \u00e7ekerken, sunucuya y\u00fck bindirmemek i\u00e7in<\/h2>\n<h2>istekler aras\u0131na gecikmeler (\u00f6rn. time.sleep(2)) eklemeyi unutmay\u0131n.<\/h2>\n<h2>time.sleep(2)<\/code><\/pre>\n<\/h2>\n<p>Bu \u00f6rnek, <code>Requests<\/code> ile HTML i\u00e7eri\u011fini almay\u0131 ve <code>Beautiful Soup<\/code> ile bu i\u00e7erikten belirli verileri \u00e7ekmeyi birle\u015ftiriyor. <code>find_all()<\/code> ve <code>find()<\/code> metodlar\u0131, class isimleri kullan\u0131larak hedeflenen elemanlar\u0131 bulmak i\u00e7in kullan\u0131ld\u0131. <code>.get_text(strip=True)<\/code> metodu, elemanlar\u0131n metin i\u00e7eri\u011fini al\u0131rken ba\u015ftaki ve sondaki bo\u015fluklar\u0131 temizler.<\/p>\n<h2>Veri Saklama ve \u0130leri Konular<\/h2>\n<p>Verileri \u00e7ektikten sonra, bunlar\u0131 genellikle kal\u0131c\u0131 olarak saklamak istersiniz. Ayr\u0131ca, web scraping yaparken kar\u015f\u0131la\u015fabilece\u011finiz baz\u0131 zorluklar ve bunlar\u0131n \u00e7\u00f6z\u00fcmleri de vard\u0131r.<\/p>\n<h3>Veri Saklama<\/h3>\n<p>\u00c7ekilen verileri saklamak i\u00e7in yayg\u0131n y\u00f6ntemler \u015funlard\u0131r:<\/p>\n<h4>CSV Dosyas\u0131na Kaydetme<\/h4>\n<p>Tablosal veriler i\u00e7in en basit ve yayg\u0131n formatlardan biridir. <code>csv<\/code> mod\u00fcl\u00fc Python’da yerle\u015fik olarak bulunur.<\/p>\n<pre><code class=\"language-python\">import csv\n\ndef save_to_csv(data, filename=\"articles.csv\"):\n if not data:\n print(\"Kaydedilecek veri yok.\")\n return\n\n # S\u00fctun ba\u015fl\u0131klar\u0131n\u0131 belirle\n fieldnames = data[0].keys()\n\n with open(filename, 'w', newline='', encoding='utf-8') as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader() # Ba\u015fl\u0131k sat\u0131r\u0131n\u0131 yaz\n writer.writerows(data) # Veri sat\u0131rlar\u0131n\u0131 yaz\n print(f\"Veriler '{filename}' dosyas\u0131na kaydedildi.\")\n\n<h2>Yukar\u0131daki \u00f6rnekten \u00e7ekilen verileri kaydetme<\/h2>\n<h2>save_to_csv(scraped_articles)<\/code><\/pre>\n<\/h2>\n<h4>JSON Dosyas\u0131na Kaydetme<\/h4>\n<p>Yap\u0131land\u0131r\u0131lm\u0131\u015f veriler i\u00e7in idealdir. <code>json<\/code> mod\u00fcl\u00fc de Python’da yerle\u015fik olarak bulunur.<\/p>\n<pre><code class=\"language-python\">import json\n\ndef save_to_json(data, filename=\"articles.json\"):\n with open(filename, 'w', encoding='utf-8') as jsonfile:\n json.dump(data, jsonfile, ensure_ascii=False, indent=4)\n print(f\"Veriler '{filename}' dosyas\u0131na kaydedildi.\")\n\n<h2>Yukar\u0131daki \u00f6rnekten \u00e7ekilen verileri kaydetme<\/h2>\n<h2>save_to_json(scraped_articles)<\/code><\/pre>\n<\/h2>\n<h4>Veritaban\u0131na Kaydetme<\/h4>\n<p>Daha b\u00fcy\u00fck veya daha karma\u015f\u0131k veri setleri i\u00e7in veritabanlar\u0131 (SQLite, PostgreSQL, MySQL, MongoDB vb.) tercih edilir. Python’da her veritaban\u0131 t\u00fcr\u00fc i\u00e7in uygun k\u00fct\u00fcphaneler bulunur (\u00f6rn. <code>sqlite3<\/code> yerle\u015fik, <code>psycopg2<\/code> PostgreSQL i\u00e7in, <code>pymongo<\/code> MongoDB i\u00e7in).<\/p>\n<h3>Web Scraping’de Kar\u015f\u0131la\u015f\u0131labilecek Zorluklar<\/h3>\n<p>1. <strong>Dinamik \u0130\u00e7erik (JavaScript ile Y\u00fcklenen Veriler):<\/strong> Bir\u00e7ok modern web sitesi, i\u00e7eri\u011fin \u00f6nemli bir k\u0131sm\u0131n\u0131 sayfa y\u00fcklendikten sonra JavaScript arac\u0131l\u0131\u011f\u0131yla dinamik olarak y\u00fckler. <code>Requests<\/code> ve <code>Beautiful Soup<\/code> do\u011frudan JavaScript’i \u00e7al\u0131\u015ft\u0131rmaz. Bu t\u00fcr durumlar i\u00e7in <code>Selenium<\/code> veya <code>Playwright<\/code> gibi “headless browser” otomasyon k\u00fct\u00fcphaneleri kullan\u0131l\u0131r. Bu k\u00fct\u00fcphaneler, ger\u00e7ek bir taray\u0131c\u0131y\u0131 programatik olarak kontrol ederek JavaScript’i \u00e7al\u0131\u015ft\u0131r\u0131r ve dinamik i\u00e7eri\u011fe eri\u015fmenizi sa\u011flar.<\/p>\n<p>2. <strong>Anti-Scraping Mekanizmalar\u0131:<\/strong><br \/>\n * <strong>CAPTCHA’lar:<\/strong> Botlar\u0131 engellemek i\u00e7in kullan\u0131l\u0131r. \u00c7\u00f6z\u00fcm\u00fc genellikle manuel m\u00fcdahale veya \u00f6zel CAPTCHA \u00e7\u00f6zme hizmetleridir.<br \/>\n * <strong>IP Engelleme:<\/strong> Ayn\u0131 IP adresinden gelen \u00e7ok say\u0131da iste\u011fi alg\u0131lay\u0131p engelleyebilirler. \u00c7\u00f6z\u00fcm olarak proxy sunucular\u0131 veya VPN kullanmak d\u00fc\u015f\u00fcn\u00fclebilir.<br \/>\n * <strong>User-Agent Kontrol\u00fc:<\/strong> Botlar\u0131n yayg\u0131n User-Agent’lar\u0131n\u0131 engelleyebilirler. <code>Requests<\/code> ile ge\u00e7erli bir taray\u0131c\u0131 User-Agent’\u0131 g\u00f6ndermek bu sorunu \u00e7\u00f6zebilir.<br \/>\n * <strong>Honeypot Tuzaklar\u0131:<\/strong> \u0130nsan kullan\u0131c\u0131lar i\u00e7in g\u00f6r\u00fcnmez olan, ancak botlar taraf\u0131ndan takip edilen gizli ba\u011flant\u0131lar veya form alanlar\u0131d\u0131r. Bu tuzaklara d\u00fc\u015fmek IP adresinizin engellenmesine neden olabilir.<\/p>\n<p>3. <strong>Oturum Y\u00f6netimi ve Kimlik Do\u011frulama:<\/strong> Oturum a\u00e7ma gerektiren sitelerden veri \u00e7ekerken, <code>Requests<\/code>‘in <code>Session<\/code> nesnesini kullanarak \u00e7erezleri ve oturum bilgilerini y\u00f6netmek gerekir.<\/p>\n<p>4. <strong>Sayfalama (Pagination):<\/strong> Bir\u00e7ok site verileri birden fazla sayfaya yayar. T\u00fcm verileri \u00e7ekmek i\u00e7in, sonraki sayfalara giden ba\u011flant\u0131lar\u0131 bulup bu sayfalar i\u00e7in de scraping i\u015flemini tekrarlamak gerekir.<\/p>\n<p>5. <strong>H\u0131z S\u0131n\u0131rlamalar\u0131 (Rate Limiting):<\/strong> Sunucular, belirli bir zaman diliminde belirli bir IP adresinden gelen istek say\u0131s\u0131n\u0131 s\u0131n\u0131rlayabilir. <code>time.sleep()<\/code> kullanarak istekler aras\u0131nda gecikme eklemek bu s\u0131n\u0131rlamalar\u0131 a\u015fmaya yard\u0131mc\u0131 olur.<\/p>\n<h3>Etik Yakla\u015f\u0131m ve Yasal Uyar\u0131lar<\/h3>\n<p>Web scraping, g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r ve sorumlu bir \u015fekilde kullan\u0131lmal\u0131d\u0131r. Her zaman <code>robots.txt<\/code> dosyas\u0131n\u0131 kontrol edin, sitenin kullan\u0131m ko\u015fullar\u0131n\u0131 okuyun ve sunucuyu a\u015f\u0131r\u0131 y\u00fcklemekten ka\u00e7\u0131n\u0131n. Ki\u015fisel veri toplarken yasal d\u00fczenlemelere (GDPR, KVKK vb.) kesinlikle uyun. \u0130zinsiz veya k\u00f6t\u00fc niyetli scraping yasa d\u0131\u015f\u0131 sonu\u00e7lar do\u011furabilir.<\/p>\n<h2>Sonu\u00e7<\/h2>\n<p>Bu makalede, Python 3’\u00fcn <code>Requests<\/code> ve <code>Beautiful Soup<\/code> k\u00fct\u00fcphanelerini kullanarak web verileriyle nas\u0131l \u00e7al\u0131\u015f\u0131laca\u011f\u0131n\u0131 detayl\u0131 bir \u015fekilde \u00f6\u011frendik. <code>Requests<\/code> ile HTTP istekleri g\u00f6ndermenin ve yan\u0131tlar\u0131 alman\u0131n inceliklerini, <code>Beautiful Soup<\/code> ile HTML i\u00e7eri\u011fini ayr\u0131\u015ft\u0131rman\u0131n ve istedi\u011fimiz verileri se\u00e7menin \u00e7e\u015fitli yollar\u0131n\u0131 ke\u015ffettik. Ayr\u0131ca, bu iki k\u00fct\u00fcphaneyi birle\u015ftirerek pratik bir web scraping \u00f6rne\u011fi uygulad\u0131k ve \u00e7ekilen verileri CSV veya JSON format\u0131nda nas\u0131l saklayaca\u011f\u0131m\u0131z\u0131 g\u00f6rd\u00fck.<\/p>\n<p>Web scraping, veri analizinden pazar ara\u015ft\u0131rmas\u0131na, rekabet\u00e7i istihbarattan otomasyona kadar bir\u00e7ok alanda de\u011ferli bilgiler elde etmek i\u00e7in g\u00fc\u00e7l\u00fc bir yetenektir. Ancak, bu g\u00fcc\u00fc kullan\u0131rken etik kurallara, yasal d\u00fczenlemelere ve sunucuya kar\u015f\u0131 sorumlulu\u011fa dikkat etmek b\u00fcy\u00fck \u00f6nem ta\u015f\u0131r.<\/p>\n<p>Requests ve Beautiful Soup, web scraping d\u00fcnyas\u0131na giri\u015f i\u00e7in m\u00fckemmel bir ba\u015flang\u0131\u00e7 noktas\u0131d\u0131r. Daha karma\u015f\u0131k senaryolar (dinamik i\u00e7erik, anti-bot \u00f6nlemleri) i\u00e7in Selenium veya Playwright gibi ara\u00e7lara y\u00f6nelmek gerekebilir. Ancak bu iki k\u00fct\u00fcphane, \u00e7o\u011fu statik web sayfas\u0131 i\u00e7in ihtiya\u00e7 duyaca\u011f\u0131n\u0131z temel ara\u00e7lar\u0131 sa\u011flar ve web’den bilgi toplama yetene\u011finizi b\u00fcy\u00fck \u00f6l\u00e7\u00fcde art\u0131r\u0131r. Bu makaledeki bilgileri kullanarak kendi web scraping projelerinizi geli\u015ftirmeye ba\u015flayabilir ve web’in sundu\u011fu s\u0131n\u0131rs\u0131z veri potansiyelini ke\u015ffedebilirsiniz.<\/p>\n","protected":false},"excerpt":{"rendered":"Python 3 ile Requests ve Beautiful Soup Kullanarak Web Verileriyle \u00c7al\u0131\u015fma\nGiri\u015f\n\u0130nternet, g\u00fcn\u00fcm\u00fcz\u00fcn en b\u00fcy\u00fck bilgi deposudur. Haber site","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1403],"tags":[],"class_list":{"0":"post-37314","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-python","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python 3 ile Requests ve Beautiful Soup Kullanarak Web Verileriyle \u00c7al\u0131\u015fma - Kodlar\u0131n Gizemli D\u00fcnyas\u0131<\/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:\/\/fatihsoysal.com\/blog\/python-3-ile-requests-ve-beautiful-soup-kullanarak-web-verileriyle-calisma\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python 3 ile Requests ve Beautiful Soup Kullanarak Web Verileriyle \u00c7al\u0131\u015fma\" \/>\n<meta property=\"og:description\" content=\"Python 3 ile Requests ve Beautiful Soup Kullanarak Web Verileriyle \u00c7al\u0131\u015fma Giri\u015f \u0130nternet, g\u00fcn\u00fcm\u00fcz\u00fcn en b\u00fcy\u00fck bilgi deposudur. 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