{"id":3277,"date":"2022-03-19T19:54:31","date_gmt":"2022-03-19T14:24:31","guid":{"rendered":"http:\/\/myprojectideas.com\/?p=3277"},"modified":"2025-11-01T11:56:47","modified_gmt":"2025-11-01T11:56:47","slug":"xml-document-parsing-and-extraction-in-python","status":"publish","type":"post","link":"https:\/\/rudelabs.ai\/blogs\/xml-document-parsing-and-extraction-in-python\/","title":{"rendered":"XML Document Parsing And Extraction In Python | Python Project"},"content":{"rendered":"<h2><strong>Introduction of the Project<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Today, we will convert an XML file into a CSV file! Sounds interesting, right? So let us have a step-by-step look at how the code for XML Document Parsing and Extraction in Python is implemented.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>XML <\/strong><em>stands for<\/em><strong><em> Extensible Markup Language<\/em><\/strong>, which is a markup language and file format for storing, transmitting, and reconstructing arbitrary data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Parsing is a process in which a string is parsed into more easily processed components.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A <strong>CSV <em>(comma-separated values)<\/em><\/strong> file is a text file that has a specific format that allows data to be saved in a table structured format.<\/span><\/p>\n<iframe loading=\"lazy\"  id=\"_ytid_19529\"  width=\"1080\" height=\"607\"  data-origwidth=\"1080\" data-origheight=\"607\" src=\"https:\/\/www.youtube.com\/embed\/SD_CJFl5Yro?enablejsapi=1&autoplay=0&cc_load_policy=0&cc_lang_pref=&iv_load_policy=1&loop=0&rel=1&fs=1&playsinline=0&autohide=2&theme=dark&color=red&controls=1&\" class=\"__youtube_prefs__  no-lazyload\" title=\"YouTube player\"  allow=\"fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe>\n<p>&nbsp;<\/p>\n<h2><strong>Requirements<\/strong><\/h2>\n<p>1. <a href=\"https:\/\/www.online-python.com\/\">Python IDE<\/a> or <a href=\"https:\/\/code.visualstudio.com\/\">VScode<\/a>. To run the code<\/p>\n<p><span style=\"font-weight: 400;\">2. An XML file to parse it and extract its data into a CSV file.<\/span><\/p>\n<h2><strong>Steps For XML Document Parsing And Extraction In Python<\/strong><\/h2>\n<p><b>Step 1: <\/b><span style=\"font-weight: 400;\">Download the XML file and change its path in code according to your path.<\/span><\/p>\n<p><b>Step 2: <\/b><span style=\"font-weight: 400;\">Paste the below code in your IDE\/code editor;<\/span><\/p>\n<h2><b>Source Code<\/b><\/h2>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Import the required modules\r\n\r\nimport csv\r\n\r\nimport xml.etree.ElementTree as ET\r\n\r\n# Function 1 - To parse the XML file\r\n\r\ndef parseXML(xmlfile):\r\n\r\n\r\n\r\n\r\n# To parse XML document into element tree\r\n\r\ntree = ET.parse(xmlfile)\r\n\r\n\r\n\r\n\r\n# To get the root element of this tree\r\n\r\nroot = tree.getroot()\r\n\r\n\r\n\r\n\r\n# Empty list for content\r\n\r\ncontent = []\r\n\r\n\r\n\r\n\r\n\u00a0\u00a0\u00a0\u00a0# Returns list containing all matching elements in document order\r\n\r\nfor c in root.findall('.\/channel\/item'):\r\n\r\n\r\n\r\n\r\n# An empty dictionary\r\n\r\nproject = {}\r\n\r\n\r\n\r\n\r\n# To iterate the child elements of the content\r\n\r\nfor child in c:\r\n\r\n\r\n\r\n\r\n# A special checking for namespace object content : media\r\n\r\nif child.tag == '{http:\/\/myprojectideas.com\/}content':\r\n\r\nproject['Media'] = child.attrib['url']\r\n\r\nelse:\r\n\r\nproject[child.tag] = child.text.encode('utf8')\r\n\r\n\r\n\r\n\r\n# To append the dictionary to content list\r\n\r\ncontent.append(project)\r\n\r\n# To return the content list\r\n\r\nreturn content\r\n\r\n\r\n\r\n\r\n# Function 2 - To convert the XML file to CSV file\r\n\r\ndef savetoCSV(content, filename):\r\n\r\n\r\n\r\n\r\n# Specify the fields for the csv file\r\n\r\nfields = ['Domain', 'ProjectName', 'Description', 'WebsiteLink', 'YoutubeLink' , 'Media']\r\n\r\n\r\n\r\n\r\n# Writing to the csv file using character 'w'\r\n\r\nwith open(filename, 'w') as csvfile:\r\n\r\n\r\n\r\n\r\n# Create a csv dictionary writer object\r\n\r\nwriter = csv.DictWriter(csvfile, fieldnames = fields)\r\n\r\n\r\n\r\n\r\n# To write the headers\r\n\r\nwriter.writeheader()\r\n\r\n\r\n\r\n\r\n# To write the rows\r\n\r\nwriter.writerows(content)\r\n\r\n\r\n\r\n\r\n# Main function to call the sub functions\r\n\r\ndef main():\r\n\r\n# To parse the XML file\r\n\r\ncontent = parseXML('videos\/SampleXML.xml')\r\n\r\n\r\n\r\n\r\n# To convert the XML file to CSV file\r\n\r\nsavetoCSV(content, 'videos\/CSVFile.csv')\r\n\r\nif __name__ == \"__main__\":\r\n\r\n\r\n\r\n\r\n# To call the main function\r\n\r\nmain()<\/pre>\n<h2><b>Explanation Of The Code<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">We initially imported CSV and XML ElementTree modules for CSV conversion and parsing purposes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">1. In the first function, we are performing parsing.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">2. We use the parse function to parse an XML document into an element tree.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">3. To get the root element of this tree, we are using the getroot() function.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">4. After this, we have created an empty list to store the content of the XML file.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">5. For loop returns a list containing all matching elements in document order.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">6. We are creating a dictionary and appending it to the content list inside the for loop.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">7. In the second function, we convert the XML file into a CSV file.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">8. Here, we need to specify the fields for the CSV file.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">9. Using open function &amp; character &#8216;w&#8217;, we are writing into the CSV file.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">10. Create a CSV dictionary writer object, and write the headers and rows using the writeheader() and writerows() function.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">11. In the main function, we are calling both subfunctions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">12. At last, we call the main function to run the program.<\/span><\/p>\n<h2><b>Output<\/b><\/h2>\n<p>The following input XML file was used for this project.<\/p>\n<p><a href=\"https:\/\/drive.google.com\/drive\/folders\/14-WQrsU6o-mxb_kambI6cuxT5IROzG1S?usp=sharing\">https:\/\/drive.google.com\/drive\/folders\/14-WQrsU6o-mxb_kambI6cuxT5IROzG1S?usp=sharing<\/a><\/p>\n<p><span style=\"font-weight: 400;\">The XML file will be parsed and extracted in CSV format, and when you try to edit the file, it will look clear, just like the below image.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18428 size-full\" src=\"https:\/\/rudelabs.ai\/blogs\/wp-content\/uploads\/2022\/03\/XML-Document-Parsing-And-Extraction-In-Python.webp\" alt=\"XML Document Parsing And Extraction In Python\" width=\"1299\" height=\"525\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Things to Remember\u00a0<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Before running the code, check the XML and CSV file path to view the output.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">If you are using your own XML file, then don\u2019t forget to change the fields name; else, it will give errors. In that case, first, use the given XML file and then edit the code accordingly.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today, we will convert an XML file into a CSV file. Now let us see how the code for XML Document Parsing and Extraction in Python works.<\/p>\n","protected":false},"author":1,"featured_media":8584,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[7,5],"tags":[18,14,21,22],"class_list":["post-3277","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coding-projects","category-python","tag-computer-science","tag-how-to","tag-opencv","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>XML Document Parsing And Extraction In Python | Python Project - RUDE LABS<\/title>\n<meta name=\"description\" content=\"Today, we will convert an XML file into a CSV file. 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