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I was able to scrape the title, date, links, and content of news on these links: https://www.news24.com/news24/southafrica/crime-and-courts and https://www.news24.com/news24/southafrica/education. The output is saved in an excel file. However, I noticed that not all the contents inside the articles were scrapped. I have tried different methods on my "Getting content section of my code" Any help with this will be appreciate. Below is my code:
import sys, time
from bs4 import BeautifulSoup
import requests
import pandas as pd
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from datetime import timedelta
art_title = [] # to store the titles of all news article
art_date = [] # to store the dates of all news article
art_link = [] # to store the links of all news article
pagesToGet = ['southafrica/crime-and-courts', 'southafrica/education']
for i in range(0, len(pagesToGet)):
print('processing page : \n')
url = 'https://www.news24.com/news24/'+str(pagesToGet[i])
print(url)
driver = webdriver.Chrome(ChromeDriverManager().install())
driver.maximize_window()
try:
driver.get("https://www.news24.com/news24/" +str(pagesToGet[i]))
except Exception as e:
error_type, error_obj, error_info = sys.exc_info()
print('ERROR FOR LINK:', url)
print(error_type, 'Line:', error_info.tb_lineno)
continue
time.sleep(3)
scroll_pause_time = 1
screen_height = driver.execute_script("return window.screen.height;")
i = 1
while True:
driver.execute_script("window.scrollTo(0, {screen_height}{i});".format(screen_height=screen_height, i=i))
i += 1
time.sleep(scroll_pause_time)
scroll_height = driver.execute_script("return document.body.scrollHeight;")
if (screen_height) * i > scroll_height:
break
soup = BeautifulSoup(driver.page_source, 'html.parser')
news = soup.find_all('article', attrs={'class': 'article-item'})
print(len(news))
# Getting titles, dates, and links
for j in news:
titles = j.select_one('.article-item__title span')
title = titles.text.strip()
dates = j.find('p', attrs={'class': 'article-item__date'})
date = dates.text.strip()
address = j.find('a').get('href')
news_link = 'https://www.news24.com' + address
art_title.append(title)
art_date.append(date)
art_link.append(news_link)
df = pd.DataFrame({'Article_Title': art_title, 'Date': art_date, 'Source': art_link})
# Getting Content Section
news_articles = [] # to store the content of each news artcle
news_count = 0
for link in df['Source']:
print('\n')
start_time = time.monotonic()
print('Article No. ', news_count)
print('Link: ', link)
# Countermeasure for broken links
try:
if requests.get(link):
news_response = requests.get(link)
else:
print("")
except requests.exceptions.ConnectionError:
news_response = 'N/A'
# Auto sleep trigger after saving every 300 articles
sleep_time = ['100', '200', '300', '400', '500']
if news_count in sleep_time:
time.sleep(12)
else:
""
try:
if news_response.text:
news_data = news_response.text
else:
print('')
except AttributeError:
news_data = 'N/A'
news_soup = BeautifulSoup(news_data, 'html.parser')
try:
if news_soup.find('div', {'class': 'article__body'}):
art_cont = news_soup.find('div','article__body')
art = []
article_text = [i.text.strip().replace("\xa0", " ") for i in art_cont.findAll('p')]
art.append(article_text)
else:
print('')
except AttributeError:
article = 'N/A'
print('\n')
news_count += 1
news_articles.append(art)
end_time = time.monotonic()
print(timedelta(seconds=end_time - start_time))
print('\n')
# Create a column to add all the scraped text
df['News'] = news_articles
df.drop_duplicates(subset ="Source", keep = False, inplace = True)
# Dont store links
df.drop(columns=['Source'], axis=1, inplace=True)
df.to_excel('SA_news24_3.xlsx')
driver.quit()
I tried the following code in the Getting Content Section as well. However, it produced the same output.
article_text = [i.get_text(strip=True).replace("\xa0", " ") for i in art_cont.findAll('p')]
The site has various types of URLs so your code was omitting them since they found it malformed or some had to be subscribed to read.For the ones that has to be subscribed to read i have added "Login to read" followers by the link in articles . I ran this code till article number 670 and it didn't give any error. I had to change it from .xlsx to .csv since it was giving an error of openpyxl in python 3.11.0.
Full Code
import time
import sys
from datetime import timedelta
import pandas as pd
from bs4 import BeautifulSoup
import requests
import json
art_title = [] # to store the titles of all news article
art_date = [] # to store the dates of all news article
art_link = [] # to store the links of all news article
pagesToGet = ['southafrica/crime-and-courts',
'southafrica/education', 'places/gauteng']
for i in range(0, len(pagesToGet)):
print('processing page : \n')
if "places" in pagesToGet[I]:
url = f"https://news24.com/api/article/loadmore/tag?tagType=places&tag={pagesToGet[i].split('/')[1]}&pagenumber=1&pagesize=100&ishomepage=false&ismobile=false"
else:
url = f"https://news24.com/api/article/loadmore/news24/{pagesToGet[i]}?pagenumber=1&pagesize=1200&ishomepage=false&ismobile=false"
print(url)
r = requests.get(url)
soup = BeautifulSoup(r.json()["htmlContent"], 'html.parser')
news = soup.find_all('article', attrs={'class': 'article-item'})
print(len(news))
# Getting titles, dates, and links
for j in news:
titles = j.select_one('.article-item__title span')
title = titles.text.strip()
dates = j.find('p', attrs={'class': 'article-item__date'})
date = dates.text.strip()
address = j.find('a').get('href')
# Countermeasure for links with full url
if "https://" in address:
news_link = address
else:
news_link = 'https://www.news24.com' + address
art_title.append(title)
art_date.append(date)
art_link.append(news_link)
df = pd.DataFrame({'Article_Title': art_title,
'Date': art_date, 'Source': art_link})
# Getting Content Section
news_articles = [] # to store the content of each news artcle
news_count = 0
for link in df['Source']:
start_time = time.monotonic()
print('Article No. ', news_count)
print('Link: ', link)
news_response = requests.get(link)
news_data = news_response.content
news_soup = BeautifulSoup(news_data, 'html.parser')
art_cont = news_soup.find('div', 'article__body')
# Countermeasure for links with subscribe form
try:
try:
article = art_cont.text.split("Newsletter")[
0]+art_cont.text.split("Sign up")[1]
except:
article = art_cont.text
article = " ".join((article).strip().split())
except:
article = f"Login to read {link}"
news_count += 1
news_articles.append(article)
end_time = time.monotonic()
print(timedelta(seconds=end_time - start_time))
print('\n')
# Create a column to add all the scraped text
df['News'] = news_articles
df.drop_duplicates(subset="Source", keep=False, inplace=True)
# Dont store links
df.drop(columns=['Source'], axis=1, inplace=True)
df.to_csv('SA_news24_3.csv')
Output
,Article_Title,Date,News
0,Pastor gets double life sentence plus two 15-year terms for rape and murder of women,2h ago,"A pastor has been sentenced to two life sentences and two 15-year jail terms for rape and murder His modus operandi was to take the women to secluded areas before raping them and tying them to trees.One woman managed to escape after she was raped but the bodies of two others were found tied to the trees.The North West High Court has sentenced a 50-year-old pastor to two life terms behind bars and two 15-year jail terms for rape and murder.Lucas Chauke, 50, was sentenced on Monday for the crimes, which were committed in 2017 and 2018 in Temba in the North West.According to North West National Prosecuting Authority spokesperson Henry Mamothame, Chauke's first victim was a 53-year-old woman.He said Chauke pretended that he would assist the woman with her spirituality and took her to a secluded place near to a dam.""Upon arrival, he repeatedly raped her and subsequently tied her to a tree before fleeing the scene,"" Mamothame said. The woman managed to untie herself and ran to seek help. She reported the incident to the police, who then started searching for Chauke.READ | Kidnappings doubled nationally: over 4 000 cases reported to police from July to SeptemberOn 10 May the following year, Chauke pounced on his second victim - a 55-year-old woman.He took her to the same secluded area next to the dam, raped her and tied her to a tree before fleeing. This time his victim was unable to free herself.Her decomposed body was later found, still tied to the tree, Mamothame said. His third victim was targeted months later, on 3 August, in the same area. According to Mamothame, Chauke attempted to rape her but failed.""He then tied her to a tree and left her to die,"" he said. Chauke was charged in connection with her murder.He was linked to the crimes via DNA.READ | 'These are not pets': Man gives away his two pit bulls after news of child mauled to deathIn aggravation of his sentence, State advocate Benny Kalakgosi urged the court not to deviate from the prescribed minimum sentences, saying that the offences Chauke had committed were serious.""He further argued that Chauke took advantage of unsuspecting women, who trusted him as a pastor but instead, [he] took advantage of their vulnerability,"" Mamothame said. Judge Frances Snyman agreed with the State and described Chauke's actions as horrific.The judge also alluded to the position of trust that he abused, Mamothame said.Chauke was sentenced to life for the rape of the first victim, 15 years for the rape of the second victim and life for her murder, as well as 15 years for her murder. He was also declared unfit to possess a firearm."
1,'I am innocent': Alleged July unrest instigator Ngizwe Mchunu pleads not guilty,4h ago,"Former Ukhozi FM DJ Ngizwe Mchunu has denied inciting the July 2022 unrest.Mchunu pleaded not guilty to charges that stem from the incitement allegations.He also claimed he had permission to travel to Gauteng for work during the Covid-19 lockdown.""They are lying. I know nothing about those charges,"" alleged July unrest instigator, former Ukhozi FM DJ Ngizwe Brian Mchunu, told the Randburg Magistrate's Court when his trial started on Tuesday.Mchunu pleaded not guilty to the charges against him, which stems from allegations that he incited public violence, leading to the destruction of property, and convened a gathering in contravening of Covid-19 lockdown regulations after the detention of former president Jacob Zuma in July last year.In his plea statement, Mchunu said all charges were explained to him.""I am a radio and television personality. I'm also a poet and cultural activist. In 2020, I established my online radio.READ | July unrest instigators could face terrorism-related charges""On 11 July 2021, I sent invitations to journalists to discuss the then-current affairs. At the time, it was during the arrest of Zuma.""I held a media briefing at a hotel in Bryanston to show concerns over Zuma's arrest. Zuma is my neighbour [in Nkandla]. In my African culture, I regard him as my father.""Mchunu continued that he was not unhappy about Zuma's arrest but added: ""I didn't condone any violence. I pleaded with fellow Africans to stop destroying infrastructure. I didn't incite any violence.I said to them, 'My brothers and sisters, I'm begging you as we are destroying our country.'""He added:They are lying. I know nothing about those charges. I am innocent. He also claimed that he had permission to travel to Gauteng for work during the lockdown.The hearing continues."
2,Jukskei River baptism drownings: Pastor of informal 'church' goes to ground,5h ago,"A pastor of the church where congregants drowned during a baptism ceremony has gone to ground.Johannesburg Emergency Medical Services said his identity was not known.So far, 14 bodies have been retrieved from the river.According to Johannesburg Emergency Medical Services (EMS), 13 of the 14 bodies retrieved from the Jukskei River have been positively identified.The bodies are of congregants who were swept away during a baptism ceremony on Saturday evening in Alexandra.The search for the other missing bodies continues.Reports are that the pastor of the church survived the flash flood after congregants rescued him.READ | Jukskei River baptism: Families gather at mortuary to identify loved onesEMS spokesperson Robert Mulaudzi said they had been in contact with the pastor since the day of the tragedy, but that they had since lost contact with him.It is alleged that the pastor was not running a formal church, but rather used the Jukskei River as a place to perform rituals for people who came to him for consultations. At this stage, his identity is not known, and because his was not a formal church, Mulaudzi could not confirm the number of people who could have been attending the ceremony.Speaking to the media outside the Sandton fire station on Tuesday morning, a member of the rescue team, Xolile Khumalo, said: Thirteen out of the 14 bodies retrieved have been identified, and the one has not been identified yet.She said their team would continue with the search. ""Three families have since come forward to confirm missing persons, and while we cannot be certain that the exact number of bodies missing is three, we will continue with our search."""
3,Six-month-old infant ‘abducted’ in Somerset West CBD,9h ago,"Authorities are on high alert after a baby was allegedly abducted in Somerset West on Monday.The alleged incident occurred around lunchtime, but was only reported to Somerset West police around 22:00. According to Sergeant Suzan Jantjies, spokesperson for Somerset West police, the six-month-old baby boy was taken around 13:00. It is believed the infant’s mother, a 22-year-old from Nomzamo, entrusted a fellow community member and mother with the care of her child before leaving for work on Monday morning. However, when she returned home from work, she was informed that the child was taken. Police were apparently informed that the carer, the infant and her nine-year-old child had travelled to Somerset West CBD to attend to Sassa matters. She allegedly stopped by a liquor store in Victoria Street and asked an unknown woman to keep the baby and watch over her child. After purchasing what was needed and exiting the store, she realised the woman and the children were missing. A case of abduction was opened and is being investigated by the police’s Family Violence, Child Protection and Sexual Offences (FCS) unit. Police obtained security footage which shows the alleged abductor getting into a taxi and making off with the children. The older child was apparently dropped off close to her home and safely returned. However, the baby has still not been found. According to a spokesperson, FCS police members prioritised investigations immediately after the case was reported late last night and descended on the local township, where they made contact with the visibly “traumatised” parent and obtained statements until the early hours of Tuesday morning – all in hopes of locating the child and the alleged suspect.Authorities are searching for what is believed to be a foreign national woman with braids, speaking isiZulu.Anyone with information which could aid the investigation and search, is urged to call Captain Trevor Nash of FCS on 082 301 8910."
4,Have you herd: Dubai businessman didn't know Ramaphosa owned Phala Phala buffalo he bought - report,8h ago,"A Dubai businessman who bought buffaloes at Phala Phala farm reportedly claims he did not know the deal was with President Cyril Ramaphosa.Hazim Mustafa also claimed he was expecting to be refunded for the livestock after the animals were not delivered.He reportedly brought the cash into the country via OR Tambo International Airport, and claims he declared it.A Dubai businessman who reportedly bought 20 buffaloes from President Cyril Ramaphosa's Phala Phala farm claims that he didn't know the deal with was with the president, according to a report.Sky News reported that Hazim Mustafa, who reportedly paid $580 000 (R10 million) in cash for the 20 buffaloes from Ramaphosa's farm in December 2019, said initially he didn't know who the animals belonged to.A panel headed by former chief justice Sandile Ngcobo released a report last week after conducting a probe into allegations of a cover-up of a theft at the farm in February 2020.READ | Ramaphosa wins crucial NEC debate as parliamentary vote on Phala Phala report delayed by a weekThe panel found that there was a case for Ramaphosa to answer and that he may have violated the law and involved himself in a conflict between his official duties and his private business.In a statement to the panel, Mustafa was identified as the source of the more than $500 000 (R9 million) that was stolen from the farm. Among the evidence was a receipt for $580 000 that a Phala Phala employee had written to ""Mr Hazim"".According to Sky News, Mustafa said he celebrated Christmas and his wife's birthday in Limpopo in 2019, and that he dealt with a broker when he bought the animals.He reportedly said the animals were to be prepared for export, but they were never delivered due to the Covid-19 lockdown. He understood he would be refunded after the delays.He also reportedly brought the cash into the country through OR Tambo International Airport and said he declared it. Mustafa also told Sky News that the amount was ""nothing for a businessman like [him]"".READ | Here's the Sudanese millionaire - and his Gucci wife - who bought Ramaphosa's buffaloThe businessman is the owner Sudanese football club Al Merrikh SC. He is married to Bianca O'Donoghue, who hails from KwaZulu-Natal. O'Donoghue regularly takes to social media to post snaps of a life of wealth – including several pictures in designer labels and next to a purple Rolls Royce Cullinan, a luxury SUV worth approximately R5.5 million.Sudanese businessman Hazim Mustafa with his South African-born wife, Bianca O'Donoghue.Facebook PHOTO: Bianca O'Donoghue/Facebook News24 previously reported that he also had ties to former Sudanese president, Omar al-Bashir.There have been calls for Ramaphosa to step down following the saga. A motion of no confidence is expected to be submitted in Parliament.He denied any wrongdoing and said the ANC's national executive committee (NEC) would decide his fate.Do you have a tipoff or any information that could help shape this story? Email tips#24.com"
5,Hefty prison sentence for man who killed stranded KZN cop while pretending to offer help,9h ago,"Two men have been sentenced – one for the murder of a KwaZulu-Natal police officer, and the other for an attempt to rob the officer.Sergeant Mzamiseni Mbele was murdered in Weenen in April last year.He was attacked and robbed when his car broke down on the highway while he was on his way home.A man who murdered a KwaZulu-Natal police officer, after pretending that he wanted to help him with his broken-down car, has been jailed.A second man, who was only convicted of an attempt to rob the officer, has also been sentenced to imprisonment.On Friday, the KwaZulu-Natal High Court in Madadeni sentenced Sboniso Linda, 36, to an effective 25 years' imprisonment, and Nkanyiso Mungwe, 25, to five years' imprisonment.READ | Alleged house robber shot after attack at off-duty cop's homeAccording to Hawks spokesperson, Captain Simphiwe Mhlongo, 39-year-old Sergeant Mzamiseni Mbele, who was stationed at the Msinga police station, was on his way home in April last year when his car broke down on the R74 highway in Weenen.Mbele let his wife know that the car had broken down. While stationary on the road, Linda and Mungwe approached him and offered to help.Mhlongo said: All of a sudden, [they] severely assaulted Mbele. They robbed him of his belongings and fled the scene. A farm worker found Mbele's body the next dayA case of murder was reported at the Weenen police station and the Hawks took over the investigation.The men were arrested.""Their bail [application] was successfully opposed and they appeared in court several times until they were found guilty,"" Mhlongo added.How safe is your neighbourhood? Find out by using News24's CrimeCheckLinda was sentenced to 20 years' imprisonment for murder and 10 years' imprisonment for robbery with aggravating circumstances. Half of the robbery sentence has to be served concurrently, leaving Linda with an effective sentence of 25 years.Mungwe was sentenced to five years' imprisonment for attempted robbery with aggravating circumstances."
I have been learning how to use the Sapcy.io Entity Linker using the Wikipedia example here.
I started with a small training size of 2000 articles (it ran for 20 hours) but the results model does not recognize or return any kb entities even from text that used in the training.
nlp_kb.from_disk("/path/to/nel-wikipedia/output_lt_kb80k_model_vsm/nlp")
text = "Anarchism is a political philosophy and movement that rejects all involuntary, coercive forms of hierarchy. It calls for the abolition of the state which it holds to be undesirable, unnecessary and harmful. It is usually described alongside libertarian Marxism as the libertarian wing (libertarian socialism) of the socialist movement and as having a historical association with anti-capitalism and socialism. The history of anarchism goes back to prehistory, when some humans lived in anarchistic societies long before the establishment of formal states, realms or empires. With the rise of organised hierarchical bodies, skepticism toward authority also rose, but it was not until the 19th century that a self-conscious political movement emerged. During the latter half of the 19th and the first decades of the 20th century, the anarchist movement flourished in most parts of the world and had a significant role in workers' struggles for emancipation. Various anarchist schools of thought formed during this period. Anarchists have taken part in several revolutions, most notably in the Spanish Civil War, whose end marked the end of the classical era of anarchism. In the last decades of the 20th century and into the 21st century, the anarchist movement has been resurgent once more. Anarchism employs various tactics in order to meet its ideal ends; these can be broadly separated into revolutionary and evolutionary tactics."
doc = nlp_kb(text)
for ent in doc.ents:
print(ent.text, ent.label_, ent.kb_id_)
Results
the 19th century DATE
the latter half of the 19th and the first decades of the 20th century DATE
Anarchists NORP
the Spanish Civil War EVENT
the last decades of the 20th century DATE
the 21st century DATE
The NLP model doesn't have an entity linker pipeline.
nlp_kb.meta["pipeline"]
['tagger', 'parser', 'ner']
But the meta.json has it.
{
"lang":"en",
"name":"core_web_lg",
"license":"MIT",
"author":"Explosion",
"url":"https://explosion.ai",
"email":"contact#explosion.ai",
"description":"English multi-task CNN trained on OntoNotes, with GloVe vectors trained on Common Crawl. Assigns word vectors, POS tags, dependency parses and named entities.",
"sources":[
{
"name":"OntoNotes 5",
"url":"https://catalog.ldc.upenn.edu/LDC2013T19",
"license":"commercial (licensed by Explosion)"
},
{
"name":"GloVe Common Crawl",
"author":"Jeffrey Pennington, Richard Socher, and Christopher D. Manning",
"url":"https://nlp.stanford.edu/projects/glove/",
"license":"Public Domain Dedication and License v1.0"
}
],
"pipeline":[
"tagger",
"parser",
"ner",
"entity_linker"
],
Here is the constant of the NLP directory
(spacy) ➜ nlp git:(master) ✗ ls
entity_linker meta.json ner parser tagger tokenizer vocab
(spacy) ➜ nlp git:(master) ✗ ls -l entity_linker
total 55040
-rw-r--r-- 1 staff 323 Sep 8 04:40 cfg
-rw-r--r-- 1 staff 25294844 Sep 8 04:40 kb
-rw-r--r-- 1 staff 2875799 Sep 8 04:40 model
I am assuming I am loading the model wrong, but I am not sure how to fix it.
You've used this line:
nlp_kb.from_disk("/path/to/nel-wikipedia/output_lt_kb80k_model_vsm/nlp")
which basically loads trained weights for the existing nlp_kb from disk. However, it doesn't actually change any internals of this nlp_kb object - it also won't automagically add new components.
Instead, what you want to do is
nlp_el = spacy.load("/path/to/nel-wikipedia/output_lt_kb80k_model_vsm/nlp")
and then you should have a new NLP object with the entity_linker component.
I have a set of queries and I am trying to get web_urls using the NYT article search API. But I am seeing that it works for q2 below but not for q1.
q1: Seattle+Jacob Vigdor+the University of Washington
q2: Seattle+Jacob Vigdor+University of Washington
If you paste the url below with your API key in the web browser, you get an empty result.
Search request for q1
api.nytimes.com/svc/search/v2/articlesearch.json?q=Seattle+Jacob%20Vigdor+the%20University%20of%20Washington&begin_date=20170626&api-key=XXXX
Empty results for q1
{"response":{"meta":{"hits":0,"time":27,"offset":0},"docs":[]},"status":"OK","copyright":"Copyright (c) 2013 The New York Times Company. All Rights Reserved."}
Instead if you paste the following in your web browser (without the article 'the' in the query) you get non-empty results
Search request for q2
api.nytimes.com/svc/search/v2/articlesearch.json?q=Seattle+Jacob%20Vigdor+University%20of%20Washington&begin_date=20170626&api-key=XXXX
Non-empty results for q2
{"response":{"meta":{"hits":1,"time":22,"offset":0},"docs":[{"web_url":"https://www.nytimes.com/aponline/2017/06/26/us/ap-us-seattle-minimum-wage.html","snippet":"Seattle's $15-an-hour minimum wage law has cost the city jobs, according to a study released Monday that contradicted another new study published last week....","lead_paragraph":"Seattle's $15-an-hour minimum wage law has cost the city jobs, according to a study released Monday that contradicted another new study published last week.","abstract":null,"print_page":null,"blog":[],"source":"AP","multimedia":[],"headline":{"main":"New Study of Seattle's $15 Minimum Wage Says It Costs Jobs","print_headline":"New Study of Seattle's $15 Minimum Wage Says It Costs Jobs"},"keywords":[],"pub_date":"2017-06-26T15:16:28+0000","document_type":"article","news_desk":"None","section_name":"U.S.","subsection_name":null,"byline":{"person":[],"original":"By THE ASSOCIATED PRESS","organization":"THE ASSOCIATED PRESS"},"type_of_material":"News","_id":"5951255195d0e02550996fb3","word_count":643,"slideshow_credits":null}]},"status":"OK","copyright":"Copyright (c) 2013 The New York Times Company. All Rights Reserved."}
Interestingly, both queries work fine on the api test page
http://developer.nytimes.com/article_search_v2.json#/Console/
Also, if you look at the article below returned by q2, you see that the query term in q1, 'the University of Washington' does occur in it and it should have returned this article.
https://www.nytimes.com//aponline//2017//06//26//us//ap-us-seattle-minimum-wage.html
I am confused about this behaviour of the API. Any ideas what's going on? Am I missing something?
Thank you for all the answers. Below I am pasting the answer I received from NYT developers.
NYT's Article Search API uses Elasticsearch. There are lots of docs online about the query syntax of Elasticsearch (it is based on Lucene).
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html#query-string-syntax
If you want articles that contain "Seattle", "Jacob Vigdor" and "University of Washington", do
"Seattle" AND "Jacob Vigdor" AND "University of Washington"
or
+"Seattle" +"Jacob Vigdor" +"University of Washington"
I think you need to change encoding of spaces (%20) to + (%2B):
In your example,
q=Seattle+Jacob%20Vigdor+the%20University%20of%20Washington
When I submit from the page on the site, it uses %2B:
q=Seattle%2BJacob+Vigdor%2Bthe+University+of+Washington
How are you URL encoding? One way to fix it would be to replace your spaces with + before URL encoding.
Also, you may need to replace %20 with +. There are various schemes for URL encoding, so the best way would depend on how you are doing it.
hey this was kind of explained to me before but having trouble appying the same thing now to almost the same page...
page = 'http://www.imdb.com/genre/action/?ref_=gnr_mn_ac_mp'
table = soup.find_all("table", {"class": "results"})
for item in list(table):
for info in item.contents[1::2]:
info.a.extract()
link = info.a['href']
print(link)
name = info.text.strip()
print(name)
code above tries to capture the link to each page of each film contained in the a tag in the variable info... and the text in it has the name of each film but instead i get all the text. is there any way of just getting the name?
thanks guys in advance!!!
Just just need to pull the text from the anchor tag inside the td with the class title:
In [15]: from bs4 import BeautifulSoup
In [16]: import requests
In [17]: url = "http://www.imdb.com/genre/action/?ref_=gnr_mn_ac_mp"
In [18]: soup = BeautifulSoup(requests.get(url,"lxml").content)
In [19]: for td in soup.select("table.results td.title"):
....: print(td.a.text)
....:
X-Men: Apocalypse
Warcraft
Captain America: Civil War
The Do-Over
Teenage Mutant Ninja Turtles: Out of the Shadows
The Angry Birds Movie
The Nice Guys
Batman v Superman: Dawn of Justice
Suicide Squad
Deadpool
Gods of Egypt
Zootopia
13 Hours: The Secret Soldiers of Benghazi
Now You See Me 2
The Brothers Grimsby
Hardcore Henry
Monster Trucks
Independence Day: Resurgence
Star Trek Beyond
The Legend of Tarzan
Deepwater Horizon
X-Men: Days of Future Past
Star Wars: The Force Awakens
X-Men: First Class
The 5th Wave
Pretty much all the data you would want is inside the td with the title class:
So if you wanted the outline also all you need is the text from the span.outline:
In [24]: for td in soup.select("table.results td.title"):
....: print(td.a.text)
....: print(td.select_one("span.outline").text)
....:
X-Men: Apocalypse
With the emergence of the world's first mutant, Apocalypse, the X-Men must unite to defeat his extinction level plan.
Warcraft
The peaceful realm of Azeroth stands on the brink of war as its civilization faces a fearsome race of...
Captain America: Civil War
Political interference in the Avengers' activities causes a rift between former allies Captain America and Iron Man.
The Do-Over
Two down-on-their-luck guys decide to fake their own deaths and start over with new identities, only to find the people they're pretending to be are in even deeper trouble.
Teenage Mutant Ninja Turtles: Out of the Shadows
As Shredder joins forces with mad scientist Baxter Stockman and henchmen Bebop and Rocksteady to take over the world, the Turtles must confront an even greater nemesis: the notorious Krang.
The Angry Birds Movie
Find out why the birds are so angry. When an island populated by happy, flightless birds is visited by mysterious green piggies, it's up to three unlikely outcasts - Red, Chuck and Bomb - to figure out what the pigs are up to.
The Nice Guys
A mismatched pair of private eyes investigate the apparent suicide of a fading porn star in 1970s Los Angeles.
Batman v Superman: Dawn of Justice
Fearing that the actions of Superman are left unchecked, Batman takes on the Man of Steel, while the world wrestles with what kind of a hero it really needs.
Suicide Squad
A secret government agency recruits imprisoned supervillains to execute dangerous black ops missions in exchange for clemency.
Deadpool
A former Special Forces operative turned mercenary is subjected to a rogue experiment that leaves him with accelerated healing powers, adopting the alter ego Deadpool.
Gods of Egypt
Mortal hero Bek teams with the god Horus in an alliance against Set, the merciless god of darkness, who has usurped Egypt's throne, plunging the once peaceful and prosperous empire into chaos and conflict.
Zootopia
In a city of anthropomorphic animals, a rookie bunny cop and a cynical con artist fox must work together to uncover a conspiracy.
13 Hours: The Secret Soldiers of Benghazi
During an attack on a U.S. compound in Libya, a security team struggles to make sense out of the chaos.
Now You See Me 2
The Four Horsemen resurface and are forcibly recruited by a tech genius to pull off their most impossible heist yet.
The Brothers Grimsby
A new assignment forces a top spy to team up with his football hooligan brother.
Hardcore Henry
Henry is resurrected from death with no memory, and he must save his wife from a telekinetic warlord with a plan to bio-engineer soldiers.
Monster Trucks
Looking for any way to get away from the life and town he was born into, Tripp (Lucas Till), a high school senior...
Independence Day: Resurgence
Two decades after the first Independence Day invasion, Earth is faced with a new extra-Solar threat. But will mankind's new space defenses be enough?
Star Trek Beyond
The USS Enterprise crew explores the furthest reaches of uncharted space, where they encounter a mysterious new enemy who puts them and everything the Federation stands for to the test.
The Legend of Tarzan
Tarzan, having acclimated to life in London, is called back to his former home in the jungle to investigate the activities at a mining encampment.
Deepwater Horizon
A story set on the offshore drilling rig Deepwater Horizon, which exploded during April 2010 and created the worst oil spill in U.S. history.
X-Men: Days of Future Past
The X-Men send Wolverine to the past in a desperate effort to change history and prevent an event that results in doom for both humans and mutants.
Star Wars: The Force Awakens
Three decades after the defeat of the Galactic Empire, a new threat arises. The First Order attempts to rule the galaxy and only a ragtag group of heroes can stop them, along with the help of the Resistance.
X-Men: First Class
In 1962, the United States government enlists the help of Mutants with superhuman abilities to stop a malicious dictator who is determined to start World War III.
The 5th Wave
Four waves of increasingly deadly alien attacks have left most of Earth decimated. Cassie is on the run, desperately trying to save her younger brother.
For runtime td.select_one("span.runtime").text etc..
Just like how you got the link by doing
info.a['href']
You can also get the title of the movie by doing
info.a['title']
Hopefully this is what you're looking for!
I am trying to figure out how to breakdown a vehicle vin number.
There is an explanation of how a VIN is build (http://en.wikipedia.org/wiki/Vehicle_Identification_Number#Components_of_the_VIN) but it fails to explain what to do with manufacturers that only have 2 digits assigned instead of 3 digits.
If I understand correct what is written there then every VIN number must be 17 characters long, and the first 3 characters are the WMI (World Manufaturer Identification).
Then there is a list of WMI on the same page, but some manufacturers only have 2 characters in that list, not 3.
How to read such a VIN number ? Will it be only 16 characters long or how do I regognize that a WMI is 2 or 3 characters ?
for example nissan has WMI = JN which is only 2 characters.
2 VIN numbers for Nissan that I know that are valid are :
JN1UC4E26F9001391 and JNKCP0106TT541680
How can I know that for these 2 VIn numbers only the first 2 digits are to be read and used for the WMI ?
In you examples it is in fact 3 characters that Set the WMI information
JN1UC4E26F9001391
NISSAN MOTOR COMPANY, LTD. JN1,1N4 3995 RESEARCH PARK DRIVE ANN ARBOR MI 48104 PASSENGER CAR SEE MEMO 7/29/1986
JNKCP0106TT541680
NISSAN RESEARCH & DEVELOPMENT JN1,JNK 750 17TH STREET, N.W. WASHINGTON DC 20006 PASSENGER CAR ALL 1/13/1992
1st character- Identifies the country in which the vehicle was manufactured.
For example: U.S.A.(1or 4), Canada(2), Mexico(3), Japan(J), Korea(K), England(S), Germany(W), Italy(Z)
2nd character- Identifies the manufacturer. For example; Audi(A),
BMW(B), Buick(4), Cadillac(6), Chevrolet(1), Chrysler(C), Dodge(B),
Ford(F), GM Canada(7), General Motors(G), Honda(H), Jaquar(A), Lincoln(L), Mercedes Benz(D), Mercury(M), Nissan(N), Oldsmobile(3), Pontiac(2or5), Plymouth(P), Saturn(8), Toyota(T), VW(V), Volvo(V).
3rd character- Identifies vehicle type or manufacturing division.
Per VIN descriptor
This link contains the most current WMI information for all, this is were I got my data
WMI for all manufactures
In any Case it is not 3 or 2 for WMI it is
1 for country
2 for manufacturer
3 for type
this gets a little tricky because IF "2" = "N" that is not necessarily Nissan, for example 1N9 = NOMAD CUSTOM CYCLES INC.
Let me know if that helps or if you find a place to get VDS information
Your wiki page seems pretty clear that it's either a 3-character WMI, or a 2-character WMI followed by a 9.
There are an abundance of libraries out there, on GitHub and elsewhere, which are designed to decode VINs. "Do not do a thing already done."