Try and dissolve the text. video and add the element to the parent of the element iframe (Neter of properties OuterHtml He's doing the same thing, but somehow he's got it. ParseFragment context itself iframeNot his parent, so... video It's not. IHtmlElement♪ IText with screened symbols - it's probably angleSharp bang:private static void SubstituteVideo(IHtmlDocument doc, List<string> videoPaths) { var selector = @"iframe[allowfullscreen]"; var elements = doc.QuerySelectorAll(selector); var parser = new HtmlParser(); for (int i = 0; i &lt; elements.Length &amp;&amp; i &lt; videoPaths.Count; i++) { IElement element = elements[i]; var videoText = @" <video height=""405"" width=""720"" style=""display: block; margin: 0 auto;"" preload controls> <source src=""" + videoPaths[i] + @""" type=""video/mp4""> </video>"; var videoElement = parser .ParseFragment(videoText, element.ParentElement) .OfType&lt;IHtmlElement&gt;() .First(); element.Parent.InsertBefore(videoElement, element); element.Remove(); } }

Good copy of this reference: https://passport.yandex.ru/auth With your reference there was a timeout error, the reference is correct?

<?php $link = do_shortcode("[wpws url="http://site.com/video.html" selector=""]"); echo(do_shortcode("[videojs mp4=$link]"); ?> That's what I needed, that code works, but now we need to figure out how to put it in the Post.

Key to answer in the last line of exception:requests.exceptions.InvalidSchema: No connection adapters were found for "['https://dl3s2.muzofond.fm/aHR0cDovL2YubXAzcG9pc2submV0L21wMy8wMDQvNjUyLzM5OS80NjUyMzk5Lm1wMw==', 'https://dl3s2.muzofond.fm/aHR0cDovL <<<snip>>> requests.exceptions.InvalidSchema It's usually generated with the wrong shaped url.Looking at the code:Function get_music_href returns tuple of the two lists:(<список all_music_href>, <список all_music_name>) This value is transferred to function get_music♪ In cycle:for url in all_music_href: url receives the value of the first element tuplei.e. list of references instead of reference.Try it. for url in all_music_href[0]: for url in all_music_href[0]: print(f"Начал скачивать {i+1} из {len(all_music_href)}") req = requests.get(url,headers=headers) src = req.text

I think it would be convenient to find the code element in the post office to use the BeautifulSoup, for example, this code will find all the elements of the Voypvers in the mail code:from bs4 import BeautifulSoup soup = BeautifulSoup(page, "lxml") # вместо lxml можно выбрать другой парсер raws = soup.findAll("p") for raw in raws: your code here

Based on the comments, if you get a number, you can experiment with these transformations.const buffer = await blob.arrayBuffer(); // ArrayBuffer const numbers = Array.from(new Uint8Array(buffer)); // number[] const file = new File([new Uint8Array(numbers).buffer], 'fileName'); // File

Type conversion with checks:if hasattr(maxdep, "text") and maxdep.text: num = float(maxdep.text.replace(",", ".")) PS may be wrapped if necessary num = float(maxdep.text.replace(",", ".")) try: ... except ValueError:

If the use of BeautifulSoup is not in principle, pandas can be used, which is what is meant for (and not only). And the code is straight in two lines.>>> import pandas >>> ds = pandas.read_html("https://coronavirus-graph.ru/rossiya/moskva") >>> ds [ Дата Заражений всего Умерло всего Летальность Выздоровело всего Болеющих 0 4 ноября 18433626305 3172897 0.05% 16186246633 ➜193 010-425 1 3 ноября 18370576827 3163195 0.05% 16119916628 ➜193 435+104 2 2 ноября 18302305736 3153698 0.05% 16053636359 ➜193 331-721 3 1 ноября 18244947103 3143896 0.05% 15990045257 ➜194 052+1750 4 31 октября 18173917603 3134294 0.05% 15937475050 ➜192 302+2459 .. ... ... ... ... ... ... 594 20 марта 13133 — — 1 ➜130+33 595 19 марта 9812 — — 1 ➜97+12 596 18 марта 8631 — — 1 ➜85+31 597 17 марта 551 — — 1 ➜54+1 598 16 марта 5420 — — 1 ➜53+20 [599 rows x 6 columns]] And now all these data are in a convenient structure and can do anything with them. And if you read https://pandas.pydata.org/docs/user_guide/10min.html#min It'll be wonderful.

Problem solved! The media_info2 method works perfectly (as opposed to media_info).

from bs4 import BeautifulSoup import requests def parce(): URL = 'https://www.olx.kz/elektronika/kompyutery-i-komplektuyuschie/q-Компьютеры/' HEADERS = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.82 YaBrowser/21.9.0.1044 Yowser/2.5 Safari/537.36' } respons = requests.get(URL, headers = HEADERS) soup = BeautifulSoup(respons.content, 'html.parser') items = soup.find_all('td', {"class": "offer promoted"}) comps = [] for item in items: title = item.find('h3', {"class":"lheight22 margintop5"}).text.replace('\n', '') comps.append(title) for i in comps: print(i) parce() It's because it doesn't work. items = soup.findAll('div', class_ = 'offer promoted') and your list of items empty

I found one mistake when I created the dishes.task = asyncio.create_task(getData(item , session))

Use your methods https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.str.split.html and https://pandas.pydata.org/docs/reference/api/pandas.Series.explode.html#pandas.Series.explode Example:In [63]: df Out[63]: val 1 2,3 2 3,5 3 8,9 In [64]: res = df["val"].str.split(",").explode() In [65]: res Out[65]: 1 2 1 3 2 3 2 5 3 8 3 9 Name: val, dtype: object

Yeah, you can emulate any device in your request, changing only the hedder. user-agent Something like that. Mozilla/5.0 (iPhone; CPU iPhone OS 9_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13B137 Safari/601.1:import requests r = requests.get("http://www.example.com/", headers={"user-agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 9_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13B137 Safari/601.1"}) далее - парсинг ...

Look how this works. https://github.com/msesjrl/BombPartyBotJKLM/blob/main/main.py I think using selenium in your case would be the best.

As you wish to pass this page, you need to work. JavaScript, the classes are like him. You need to use it. Selenium♪But since there are tabular data on the website, I see it, you can use the module for the password. Pandashe'll get all the data from the plate in a convenient way:import pandas as pd url = 'https://www.economicdata.ru/stocks.php?menu=stocks-by-exchange&exchange=NYSE&tname=New+York+Stock+Exchange&page=' data = [] for i in range(1,10000): print(i, end=',') df = pd.read_html(url+str(i))[0] if not df.shape[0]: break data.append(df) print() all_df = pd.concat(data, ignore_index=True) print(all_df['Название компании'].values) Conclusion:['Agilent Technologies, Inc.' 'Alcoa Corporation' 'AAC Holdings, Inc.' ... 'Zoetis Inc.' 'Zuora, Inc.' 'Zymeworks Inc.']

from bs4 import BeautifulSoup import requests import fake_useragent user = fake_useragent.UserAgent().random HOST = "https://directlot.ru" URL1 = "https://directlot.ru/lot.php?id=801626" HEADERS2 = {'User_Agent': user} response1 = requests.get(URL1, headers = HEADERS2, ).text soup1 = BeautifulSoup(response1.encode('ISO-8859-1'), 'html.parser') block = soup1.find('div', class_ = 'goodsInOpisanie').get_text(strip = True), print (block) Here's the work code.

find back none when you didn't find the object. index-content-3tIYy is it automatic?

Use the method. https://pandas.pydata.org/docs/reference/api/pandas.Series.str.extractall.html :data2[["Широта", "Долгота"]] = ( data2["Общие данные"] .str.extractall(r"\b(\d+\.\d+),\s*(\d+\.\d+)\b").reset_index(level=1, drop=True) .astype("float") ) result:In [192]: data2 Out[192]: Имя Координаты Общие данные Широта Долгота 0 Москва, 1п. 53.2555095749943, 83.6533059729708 Москва, 1п., 53.2555095749943, 83.6533059729708 53.255510 83.653306 1 Питер, 2п 53.2555095749943, 83.6533059729708 Питер, 2п, 53.2555095749943, 83.6533059729708 53.255510 83.653306 2 Владик 3пп 53.25932749912, 83.6534465959292 Владик 3пп, 53.25932749912, 83.6534465959292 53.259327 83.653447 3 Калининград 53.25932749912, 83.6534465959292 Калининград, 53.25932749912, 83.6534465959292 53.259327 83.653447 In [193]: data2.dtypes Out[193]: Имя object Координаты object Общие данные object Широта float64 Долгота float64 dtype: object

Here.@bot.message_handler(commands=["start"]) def main(message): bot.send_message(message.chat.id, f"Ваш баланс: {summa}")

https://github.com/Mottl/ru_punkt Russian language support for NLTK's PunktSentenceTokenizerru_punkt is a part of nltk_data since 2019-07-04Example:import nltk nltk.download('punkt') text = """Л.Н. Толстой "Война и мир" и т.д. и т.п. и другие сокращения. Следующее предложение.""" sentences = nltk.sent_tokenize(text, language="russian") result:In [27]: sentences Out[27]: ['Л.Н. Толстой "Война и мир" и т.д. и т.п. и другие сокращения.', 'Следующее предложение.']