Zoom meeting recorded video and saved in mp4 format file. But it is not allowed to download. In order to overcome "access denied" error, we have to add hread informations: user agent, cookie, and referer. Here is the source code to download the video using python. import requests url="https://ssrweb.zoom.us/cmr/replay/2020/09/21/2189503564/CD309625-D877-4B35-B99F-34CA4529F0CD/GMT20200920-233653_Tom-Ren-s-_1920x900.mp4?response-content-type=video%2Fmp4&response-cache-control=max-age%3D0%2Cs-maxage%3D86400&data=b87bffbf0d63fc51fb5b53caa6a6e3be04d1fc8b436a138418c4cfce8ff64b49&s001=yes&cid=aw1&fid=eT5a1fFKL6E57JgRK8F681dHTUjCtkgCRQSIhogfoc991lO-o1SPZgBwVzAnFJVok-qWSQ3oTrbpuF_L.01AJKlG7IPx983bD&s002=ly1zSoH_nrGCD_5BpiDHTfumcztfOw0ymT3bgpFePYuEvjANCyhpAsfNHw.bIBlHettrxUuB0Ga&Policy=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__&Signature=J-GEzf4ZyLk~Jlt~05nwpyWnVlw1~KTHasbnBpYaUV5H36d7Vijx~arr0VHNjUvG6jMCqQvjZBht5OnGmKLNKwLCC8sgJsY~dK~~LHyWXtOeSmKCN5OeIftk6YITItvnpyWYujuggXECzcGqis1K~gxa9krlax0J5~OosoKZat33JZISttY3RPAbfO~GeRqfJkDwiTVS1sKIyFdFbc~m-haPN4SlDx1ZDKpDWowYtRIkd4u692cclyp7fgxeIRy9OKyKt3Wfkw-39fTq5TcDJ5u1Yq~o4u0qbeLzASSFDgw7DRpZVnMqODupnhXp1QrZ8886s~ij7GU2oY7rXKzRHA__&Key-Pair-Id=APKAJFHNSLHYCGFYQGIA" content = requests.get(url, headers={ "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36", "Cookie": "_zm_ssid=aw1_c_rWPCvlX3Tcmc8iikrsu0Bg; _zm_mtk_guid=b2c4961722954e1890f35c83dc55fc01; zm_oauth_cluster=aw1; zm_general_guid=""5Rog1fA9Dxwqucr9rINhlQzwlU/sFl0FdC6GZtoSZp4=""; _zm_lang=en-US; zm_gnl_guid=ab1cGxWMcSkw4h2H6yO/DOPyREzINR14Ppkyl7FBOlG1eU5nI2Qnwdltx4ESb0I1odSd; zm_gnl_ruid=udw1HTAmShCudkTwo4ToCA; _zm_csp_script_nonce=JG_kdyI9T-CxO2Y4shUwHA; _zm_launcher=1597953850725; zm_gnl_guid_v2=dffcVktj7guFTpRscXSNCeINKl8xSIlozAf16PavwVWL29lhYi78Ym1sSg3l9Js/VWHPWMBeaBr7Ap6D0q0Z00gLsZb2SrCjP5C8Y=; _zm_page_auth=aw1_c_wCHnZvcWSvuMw-h46T8FIg; _zm_ctaid=51pkTNQpTz-uUZmjm4Rulw.1600739087485.c798cb33478fb73a92bac81a5f6662e2; _zm_chtaid=811; _zm_currency=CAD", "referer": "https://zoom.us/rec/play/P4ZLJUcpCuFLJBpjP7wRiBRHquR8PNIK91C3FRHSPGJ0XX39e6e88ZYmzRLhXq9djw90IHTTTKv0cxfI.QAryZuRQmCV5viBv?continueMode=true&_x_zm_rtaid=51pkTNQpTz-uUZmjm4Rulw.1600739087485.c798cb33478fb73a92bac81a5f6662e2&_x_zm_rhtaid=811" }).content # print(content) counter = 0 with open('./video/第二讲 加拿大房屋保险.mp4', 'wb') as f: # f.write(content) # f.close() for buffer in content.iter_content(chunk_size=4096): f.write(buffer) counter += len(buffer) print(counter) 1,262 total views, 15 views today
install Flask pip install flask Get Template Writing code Idea: Based on the proper visualization template, feed data from python program to the template, then render the result in the template. 1. Passing data from python to template through javascript. In Python file: from flask import Flask, render_template app = Flask(__name__) @app.route('/') def root(): divdata = '草莓,乌梅,蓝莓,红莓,白梅,话梅,绿莓'; areadata = '555,666,777'; return render_template('bigdata.html', divdata=divdata, areadata=areadata, ... ) if __name__ == '__main__': app.run(debug=True) 2. In template html file Render data as an html element, using js to convert it into js varaibles. <div id='divdata' style="display:none">{{ divdata }}</div> <div id='areadata' style="display:none">{{ areadata }}</div> <script> var divdata = document.getElementById('divdata').innerText; var datadiv = divdata.split(','); var areadata = document.getElementById('areadata').innerText; var dataarea = areadata.split(','); </script> 3. In chart js configuration file: //initialize echarts, and configure the chart var myChart = echarts.init(document.getElementById('echart1')); option = { ... xAxis: [{ type: 'category', data: datadiv, axisLine: { var data = [ { name: '海门', value: dataarea[0]}, { name: '鄂尔多斯', value: dataarea[1]}, { name: '招远', value: dataarea[2]}, { name: '舟山', value: dataarea[3]}, Result 670 total views
Analysis url: https://www.luscious.net/albums/cassie-laine_348936/ load images with ajax. It returns json file url: https://api.luscious.net/graphql/nobatch/?operationName=AlbumListOwnPictures&query=+query+AlbumListOwnPictures%28%24input%3A+PictureListInput%21%29+%7B+picture+%7B+list%28input%3A+%24input%29+%7B+info+%7B+...FacetCollectionInfo+%7D+items+%7B+...PictureStandardWithoutAlbum+%7D+%7D+%7D+%7D+fragment+FacetCollectionInfo+on+FacetCollectionInfo+%7B+page+has_next_page+has_previous_page+total_items+total_pages+items_per_page+url_complete+%7D+fragment+PictureStandardWithoutAlbum+on+Picture+%7B+__typename+id+title+description+created+like_status+number_of_comments+number_of_favorites+moderation_status+width+height+resolution+aspect_ratio+url_to_original+url_to_video+is_animated+position+tags+%7B+category+text+url+%7D+permissions+url+thumbnails+%7B+width+height+size+url+%7D+%7D+&variables=%7B%22input%22%3A%7B%22filters%22%3A%5B%7B%22name%22%3A%22album_id%22%2C%22value%22%3A%22348936%22%7D%5D%2C%22display%22%3A%22rating_all_time%22%2C%22page%22%3A1%7D%7D Coding json structure below. We need the highest resolution images. import requests import json from urllib.request import urlretrieve def download(url): header = { "User_Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36" } html = requests.get(url, headers=header).text #return json file jobj = json.loads(html) items = jobj['data']['picture']['list']['items'] for item in items: img = th['url_to_original'] filename = img[img.rfind("/") + 1:] filepath = 'd:/img/'+filename print(filepath) urlretrieve(img, filepath) url = "https://api.luscious.net/graphql/nobatch/?operationName=AlbumListOwnPictures&query=+query+AlbumListOwnPictures%28%24input%3A+PictureListInput%21%29+%7B+picture+%7B+list%28input%3A+%24input%29+%7B+info+%7B+...FacetCollectionInfo+%7D+items+%7B+...PictureStandardWithoutAlbum+%7D+%7D+%7D+%7D+fragment+FacetCollectionInfo+on+FacetCollectionInfo+%7B+page+has_next_page+has_previous_page+total_items+total_pages+items_per_page+url_complete+%7D+fragment+PictureStandardWithoutAlbum+on+Picture+%7B+__typename+id+title+description+created+like_status+number_of_comments+number_of_favorites+moderation_status+width+height+resolution+aspect_ratio+url_to_original+url_to_video+is_animated+position+tags+%7B+category+text+url+%7D+permissions+url+thumbnails+%7B+width+height+size+url+%7D+%7D+&variables=%7B%22input%22%3A%7B%22filters%22%3A%5B%7B%22name%22%3A%22album_id%22%2C%22value%22%3A%22348936%22%7D%5D%2C%22display%22%3A%22rating_all_time%22%2C%22page%22%3A1%7D%7D" download(url) print('done!') Result 855 total views
