Setup (base) C:\Users\Ashish Jain>conda env list # conda environments: # base * E:\programfiles\Anaconda3 env_py_36 E:\programfiles\Anaconda3\envs\env_py_36 temp E:\programfiles\Anaconda3\envs\temp tf E:\programfiles\Anaconda3\envs\tf (base) C:\Users\Ashish Jain>conda create -n temp202009 python=3.8 Collecting package metadata (repodata.json): done Solving environment: done ## Package Plan ## environment location: E:\programfiles\Anaconda3\envs\temp202009 added / updated specs: - python=3.8 The following packages will be downloaded: package | build ---------------------------|----------------- ca-certificates-2020.7.22 | 0 164 KB python-3.8.5 | h5fd99cc_1 18.7 MB sqlite-3.33.0 | h2a8f88b_0 1.3 MB wheel-0.35.1 | py_0 36 KB ------------------------------------------------------------ Total: 20.2 MB The following NEW packages will be INSTALLED: ca-certificates pkgs/main/win-64::ca-certificates-2020.7.22-0 certifi pkgs/main/win-64::certifi-2020.6.20-py38_0 openssl pkgs/main/win-64::openssl-1.1.1g-he774522_1 pip pkgs/main/win-64::pip-20.2.2-py38_0 python pkgs/main/win-64::python-3.8.5-h5fd99cc_1 setuptools pkgs/main/win-64::setuptools-49.6.0-py38_0 sqlite pkgs/main/win-64::sqlite-3.33.0-h2a8f88b_0 vc pkgs/main/win-64::vc-14.1-h0510ff6_4 vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.16.27012-hf0eaf9b_3 wheel pkgs/main/noarch::wheel-0.35.1-py_0 wincertstore pkgs/main/win-64::wincertstore-0.2-py38_0 zlib pkgs/main/win-64::zlib-1.2.11-h62dcd97_4 Proceed ([y]/n)? y Downloading and Extracting Packages wheel-0.35.1 | 36 KB | ##################################### | 100% sqlite-3.33.0 | 1.3 MB | ##################################### | 100% ca-certificates-2020 | 164 KB | ##################################### | 100% python-3.8.5 | 18.7 MB | ##################################### | 100% Preparing transaction: done Verifying transaction: done Executing transaction: done # # To activate this environment, use # # $ conda activate temp202009 # # To deactivate an active environment, use # # $ conda deactivate (base) C:\Users\Ashish Jain>conda activate temp202009 (temp202009) C:\Users\Ashish Jain>pip install ipykernel jupyter jupyterlab Collecting ipykernel Collecting jupyter Collecting jupyterlab ... Building wheels for collected packages: pandocfilters, pyrsistent Building wheel for pandocfilters (setup.py) ... done Created wheel for pandocfilters: filename=pandocfilters-1.4.2-py3-none-any.whl size=7861 sha256=eaf50b551ad8291621c8a87234dca80f07b0e9b1603ec8ad7179740f988b4dec Stored in directory: c:\users\ashish jain\appdata\local\pip\cache\wheels\f6\08\65\e4636b703d0e870cd62692dafd6b47db27287fe80cea433722 Building wheel for pyrsistent (setup.py) ... done Created wheel for pyrsistent: filename=pyrsistent-0.16.0-cp38-cp38-win_amd64.whl size=71143 sha256=1f0233569beedcff74c358bd0666684c2a0f2d74b56fbdea893711c2f1a761f8 Stored in directory: c:\users\ashish jain\appdata\local\pip\cache\wheels\17\be\0f\727fb20889ada6aaaaba861f5f0eb21663533915429ad43f28 Successfully built pandocfilters pyrsistent Installing collected packages: tornado, ipython-genutils, traitlets, pyzmq, six, python-dateutil, pywin32, jupyter-core, jupyter-client, colorama, parso, jedi, pygments, backcall, wcwidth, prompt-toolkit, decorator, pickleshare, ipython, ipykernel, jupyter-console, qtpy, qtconsole, MarkupSafe, jinja2, attrs, pyrsistent, jsonschema, nbformat, mistune, pyparsing, packaging, webencodings, bleach, pandocfilters, entrypoints, testpath, defusedxml, nbconvert, pywinpty, terminado, prometheus-client, Send2Trash, pycparser, cffi, argon2-cffi, notebook, widgetsnbextension, ipywidgets, jupyter, json5, urllib3, chardet, idna, requests, jupyterlab-server, jupyterlab Successfully installed MarkupSafe-1.1.1 Send2Trash-1.5.0 argon2-cffi-20.1.0 attrs-20.1.0 backcall-0.2.0 bleach-3.1.5 cffi-1.14.2 chardet-3.0.4 colorama-0.4.3 decorator-4.4.2 defusedxml-0.6.0 entrypoints-0.3 idna-2.10 ipykernel-5.3.4 ipython-7.18.1 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 jinja2-2.11.2 json5-0.9.5 jsonschema-3.2.0 jupyter-1.0.0 jupyter-client-6.1.7 jupyter-console-6.2.0 jupyter-core-4.6.3 jupyterlab-2.2.6 jupyterlab-server-1.2.0 mistune-0.8.4 nbconvert-5.6.1 nbformat-5.0.7 notebook-6.1.3 packaging-20.4 pandocfilters-1.4.2 parso-0.7.1 pickleshare-0.7.5 prometheus-client-0.8.0 prompt-toolkit-3.0.7 pycparser-2.20 pygments-2.6.1 pyparsing-2.4.7 pyrsistent-0.16.0 python-dateutil-2.8.1 pywin32-228 pywinpty-0.5.7 pyzmq-19.0.2 qtconsole-4.7.7 qtpy-1.9.0 requests-2.24.0 six-1.15.0 terminado-0.8.3 testpath-0.4.4 tornado-6.0.4 traitlets-5.0.3 urllib3-1.25.10 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 (temp202009) C:\Users\Ashish Jain>python -m ipykernel install --user --name temp202009 Installed kernelspec temp202009 in C:\Users\Ashish Jain\AppData\Roaming\jupyter\kernels\temp202009 === === === === ERROR: ImportError: DLL load failed while importing win32api: The specified module could not be found. (temp202009) E:\>conda install pywin32 === === === === (temp202009) E:\>pip install htmllaundry (temp202009) E:\>pip install html-sanitizer Collecting html-sanitizer Collecting beautifulsoup4 Collecting soupsieve>1.2 Downloading soupsieve-2.0.1-py3-none-any.whl (32 kB) Installing collected packages: soupsieve, beautifulsoup4, html-sanitizer Successfully installed beautifulsoup4-4.9.1 html-sanitizer-1.9.1 soupsieve-2.0.1 Issues faced with pulling an article using "newsapi" and "newspaper" packages. #1 Exception occurred for: [newspaper.article.Article object at 0x00000248F12896D8] and 2020-08-08T16:55:21Z Article `download()` failed with 503 Server Error: Service Unavailable for url: https://www.marketwatch.com/story/profit-up-87-at-buffetts-berkshire-but-coronavirus-slows-businesses-2020-08-08 on URL https://www.marketwatch.com/story/profit-up-87-at-buffetts-berkshire-but-coronavirus-slows-businesses-2020-08-08 #2 Exception occurred for: [newspaper.article.Article object at 0x00000248F1297B70] and 2020-08-11T22:59:42Z Article `download()` failed with 403 Client Error: Forbidden for url: https://seekingalpha.com/article/4367745-greatest-disconnect-stocks-and-economy-continues on URL https://seekingalpha.com/article/4367745-greatest-disconnect-stocks-and-economy-continues #3 Exception occurred for: [newspaper.article.Article object at 0x00000248F12AC550] and 2020-08-11T16:17:55Z Article `download()` failed with HTTPSConnectionPool(host='www.freerepublic.com', port=443): Max retries exceeded with url: /focus/f-news/3873373/posts (Caused by SSLError(SSLError("bad handshake: Error([('SSL routines', 'tls_process_server_certificate', 'certificate verify failed')])"))) on URL https://www.freerepublic.com/focus/f-news/3873373/posts Trying a fix using Python shell (base) C:\Users\Ashish Jain>python Python 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import requests >>> requests.get('https://seekingalpha.com/article/4367745-greatest-disconnect-stocks-and-economy-continues') [Response [200]] >>> requests.get('https://seekingalpha.com/article/4367745-greatest-disconnect-stocks-and-economy-continues').text '<!DOCTYPE html><html itemscope="" itemtype="https://schema.org/WebPage" lang="en">... >>> with open('html.txt', 'w') as f: ... f.write(requests.get('https://seekingalpha.com/article/4367745-greatest-disconnect-stocks-and-economy-continues').text) ... Traceback (most recent call last): File "[stdin]", line 2, in [module] File "E:\programfiles\Anaconda3\lib\encodings\cp1252.py", line 19, in encode return codecs.charmap_encode(input,self.errors,encoding_table)[0] UnicodeEncodeError: 'charmap' codec can't encode character '\ufeff' in position 13665: character maps to [undefined] >>> with open('html.txt', 'w', encoding="utf-8") as f: ... f.write(requests.get('https://seekingalpha.com/article/4367745-greatest-disconnect-stocks-and-economy-continues').text) ... 636685 Now we have the HTML. Next we clean it to remove HTML tags. Using htmllaundry from htmllaundry import sanitize !pip show htmllaundry Name: htmllaundry Version: 2.2 Summary: Simple HTML cleanup utilities Home-page: UNKNOWN Author: Wichert Akkerman Author-email: wichert@wiggy.net License: BSD Location: e:\programfiles\anaconda3\envs\temp202009\lib\site-packages Requires: lxml, six Required-by: sanitize(r.text) '<p>\n\n\n \n \n Access to this page has been denied.\n \n \n \n\n\n\n \n \n To continue, please prove you are not a robot\n \n \n \n \n \n \n </p><p>\n To ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.<br/>\n Is this happening to you frequently? Please <a href="https://seekingalpha.userecho.com?source=captcha" rel="nofollow">report it on our feedback forum</a>.\n </p>\n <p>\n If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh.\n </p>\n <p>Reference ID: </p>\n \n \n \n\n\n\n\n\n\n\n' from htmllaundry import strip_markup cleantext = strip_markup(sanitize(r.text)).strip() cleantext = re.sub(r"(\n)+", " ", cleantext) cleantext = re.sub(r"\s+", " ", cleantext) print(cleantext) 'Access to this page has been denied. To continue, please prove you are not a robot To ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser. Is this happening to you frequently? Please report it on our feedback forum. If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh. Reference ID:' Using html_sanitizer from html_sanitizer import Sanitizer !pip show html_sanitizer Name: html-sanitizer Version: 1.9.1 Summary: HTML sanitizer Home-page: https://github.com/matthiask/html-sanitizer/ Author: Matthias Kestenholz Author-email: mk@feinheit.ch License: BSD License Location: e:\programfiles\anaconda3\envs\temp202009\lib\site-packages Requires: beautifulsoup4, lxml Required-by: sanitizer = Sanitizer() cleantext = sanitizer.sanitize(r.text).strip() cleantext = re.sub(r"(\n)+", " ", cleantext) cleantext = re.sub(r"\s+", " ", cleantext) print(cleantext) 'Access to this page has been denied. <h1>To continue, please prove you are not a robot</h1> <p> To ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.<br> Is this happening to you frequently? Please <a href="https://seekingalpha.userecho.com?source=captcha">report it on our feedback forum</a>. </p> <p> If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh. </p> <p>Reference ID: </p>' Using beautifulsoup4 import re from bs4 import BeautifulSoup cleantext = BeautifulSoup(r.text, "lxml").text cleantext = re.sub(r"(\n)+", " ", cleantext) cleantext = re.sub(r"\s+", " ", cleantext) cleantext.strip() 'Access to this page has been denied. To continue, please prove you are not a robot To ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser. Is this happening to you frequently? Please report it on our feedback forum. If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh. Reference ID:'
Friday, September 4, 2020
Requests.get method, cleaning html and writing output to text file
Labels:
Python,
Technology,
Web Scraping
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