So, right now, what I'm trying to do is that I'm trying to scrape a table from rottentomatoes.com and but every time I run the code, I'm facing an issue that it just prints <a href tags. For now, all I want are the Movie titles numbered.
This is my code so far:
from requests import get
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
url = "https://www.rottentomatoes.com/top/bestofrt/"
headers = {"Accept-Language": "en-US, en;q=0.5"}
titles = []
year_released = []
def get_requests():
try:
result = requests.get(url=url)
soup = BeautifulSoup(result.text, 'html.parser')
table = soup.find('table', class_='table')
for name in table:
td = soup.find_all('a', class_='unstyled articleLink')
titles.append(td)
print(titles)
break
except:
print("The result could not get fetched")
And this is my output:
[[Opening This Week, Top Box Office, Coming Soon to Theaters, Weekend Earnings, Certified Fresh Movies, On Dvd & Streaming, VUDU, Netflix Streaming, iTunes, Amazon and Amazon Prime, Top DVD & Streaming, New Releases, Coming Soon to DVD, Certified Fresh Movies, Browse All, Top Movies, Trailers, Forums,
View All
,
View All
, Top TV Shows, Certified Fresh TV, 24 Frames, All-Time Lists, Binge Guide, Comics on TV, Countdown, Critics Consensus, Five Favorite Films, Now Streaming, Parental Guidance, Red Carpet Roundup, Scorecards, Sub-Cult, Total Recall, Video Interviews, Weekend Box Office, Weekly Ketchup, What to Watch, The Zeros, View All, View All, View All,
It Happened One Night (1934),
Citizen Kane (1941),
The Wizard of Oz (1939),
Modern Times (1936),
Black Panther (2018),
Parasite (Gisaengchung) (2019),
Avengers: Endgame (2019),
Casablanca (1942),
Knives Out (2019),
Us (2019),
Toy Story 4 (2019),
Lady Bird (2017),
Mission: Impossible - Fallout (2018),
BlacKkKlansman (2018),
Get Out (2017),
The Irishman (2019),
The Godfather (1972),
Mad Max: Fury Road (2015),
Spider-Man: Into the Spider-Verse (2018),
Moonlight (2016),
Sunset Boulevard (1950),
All About Eve (1950),
The Cabinet of Dr. Caligari (Das Cabinet des Dr. Caligari) (1920),
The Philadelphia Story (1940),
Roma (2018),
Wonder Woman (2017),
A Star Is Born (2018),
Inside Out (2015),
A Quiet Place (2018),
One Night in Miami (2020),
Eighth Grade (2018),
Rebecca (1940),
Booksmart (2019),
Logan (2017),
His Girl Friday (1940),
Portrait of a Lady on Fire (Portrait de la jeune fille en feu) (2020),
Coco (2017),
Dunkirk (2017),
Star Wars: The Last Jedi (2017),
A Night at the Opera (1935),
The Shape of Water (2017),
Thor: Ragnarok (2017),
Spotlight (2015),
The Farewell (2019),
Selma (2014),
The Third Man (1949),
Rear Window (1954),
E.T. The Extra-Terrestrial (1982),
Seven Samurai (Shichinin no Samurai) (1956),
La Grande illusion (Grand Illusion) (1938),
Arrival (2016),
Singin' in the Rain (1952),
The Favourite (2018),
Double Indemnity (1944),
All Quiet on the Western Front (1930),
Snow White and the Seven Dwarfs (1937),
Marriage Story (2019),
The Big Sick (2017),
On the Waterfront (1954),
Star Wars: Episode VII - The Force Awakens (2015),
An American in Paris (1951),
The Best Years of Our Lives (1946),
Metropolis (1927),
Boyhood (2014),
Gravity (2013),
Leave No Trace (2018),
The Maltese Falcon (1941),
The Invisible Man (2020),
12 Years a Slave (2013),
Once Upon a Time In Hollywood (2019),
Argo (2012),
Soul (2020),
Ma Rainey's Black Bottom (2020),
The Kid (1921),
Manchester by the Sea (2016),
Nosferatu, a Symphony of Horror (Nosferatu, eine Symphonie des Grauens) (Nosferatu the Vampire) (1922),
The Adventures of Robin Hood (1938),
La La Land (2016),
North by Northwest (1959),
Laura (1944),
Spider-Man: Far From Home (2019),
Incredibles 2 (2018),
Zootopia (2016),
Alien (1979),
King Kong (1933),
Shadow of a Doubt (1943),
Call Me by Your Name (2018),
Psycho (1960),
1917 (2020),
L.A. Confidential (1997),
The Florida Project (2017),
War for the Planet of the Apes (2017),
Paddington 2 (2018),
A Hard Day's Night (1964),
Widows (2018),
Never Rarely Sometimes Always (2020),
Baby Driver (2017),
Spider-Man: Homecoming (2017),
The Godfather, Part II (1974),
The Battle of Algiers (La Battaglia di Algeri) (1967), View All, View All]]
Reading tables via pandas.read_html() as provided by #F.Hoque would probably the leaner approache but you can also get your results with BeautifulSoup only.
Iterate over all <tr> of the <table>, pick information from tags via .text / .get_text() and store it structured in list of dicts:
data = []
for row in soup.select('table.table tr')[1:]:
data.append({
'rank': row.td.text,
'title': row.a.text.split(' (')[0].strip(),
'releaseYear': row.a.text.split(' (')[1][:-1]
})
Example
import requests
from bs4 import BeautifulSoup
url = "https://www.rottentomatoes.com/top/bestofrt/"
headers = {"Accept-Language": "en-US, en;q=0.5"}
result = requests.get(url=url)
soup = BeautifulSoup(result.text, 'html.parser')
data = []
for row in soup.select('table.table tr')[1:]:
data.append({
'rank': row.td.text,
'title': row.a.text.split(' (')[0].strip(),
'releaseYear': row.a.text.split(' (')[1][:-1]
})
data
Output
[{'rank': '1.', 'title': 'It Happened One Night', 'releaseYear': '1934'},
{'rank': '2.', 'title': 'Citizen Kane', 'releaseYear': '1941'},
{'rank': '3.', 'title': 'The Wizard of Oz', 'releaseYear': '1939'},
{'rank': '4.', 'title': 'Modern Times', 'releaseYear': '1936'},
{'rank': '5.', 'title': 'Black Panther', 'releaseYear': '2018'},...]
I'm trying to pull table data from the following website: https://msih.bgu.ac.il/md-program/residency-placements/
While there are no table tags I found the common tag to pull individual segments of the table to be div class=accord-con
I made a dictionary where the keys are the graduation year (ie, 2019, 2018, etc), and the values is the html from each div class-accord con.
I'm stuck and don't know how to parse the html within the dictionary. My goal is to have separate lists of the specialty, hospital, and location for each year. I don't know how to move forward.
Below is my working code:
import numpy as np
import bs4 as bs
from bs4 import BeautifulSoup
import urllib.request
import pandas as pd
sauce = urllib.request.urlopen('https://msih.bgu.ac.il/md-program/residency-placements/').read()
soup = bs.BeautifulSoup(sauce, 'lxml')
headers = soup.find_all('div', class_={'accord-head'})
grad_yr_list = []
for header in headers:
grad_yr_list.append(header.h2.text[-4:])
rez_classes = soup.find_all('div', class_={'accord-con'})
data_dict = dict(zip(grad_yr_list, rez_classes))
Here is a sample of what my dictionary looks like:
{'2019': <div class="accord-con"><h4>Anesthesiology</h4><ul><li>University at Buffalo School of Medicine, Buffalo, NY</li></ul><h4>Emergency Medicine</h4><ul><li>Aventura Hospital, Aventura, Fl</li></ul><h4>Family Medicine</h4><ul><li>Louisiana State University School of Medicine, New Orleans, LA</li><li>UT St Thomas Hospitals, Murfreesboro, TN</li><li>Sea Mar Community Health Center, Seattle, WA</li></ul><h4>Internal Medicine</h4><ul><li>Oregon Health and Science University, Portland, OR</li><li>St Joseph Hospital, Denver, CO </li></ul><h4>Obstetrics-Gynecology</h4><ul><li>Jersey City Medical Center, Jersey City, NJ</li><li>New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY</li></ul><h4>Pediatrics</h4><ul><li>St Louis Children’s Hospital, St Louis, MO</li><li>University of Maryland Medical Center, Baltimore, MD</li><li>St Christopher’s Hospital, Philadelphia, PA</li></ul><h4>Surgery</h4><ul><li>Mountain Area Health Education Center, Asheville, NC</li></ul><p></p></div>,
'2018': <div class="accord-con"><h4>Anesthesiology</h4><ul><li>NYU School of Medicine, New York, NY</li></ul><h4>Emergency Medicine</h4><ul><li>Kent Hospital, Warwick, Rhode Island</li><li>University of Connecticut School of Medicine, Farmington, CT</li><li>University of Texas Health Science Center at San Antonio, San Antonio, TX</li><li>Vidant Medical Center East Carolina University, Greenville, NC</li></ul><h4>Family Medicine</h4><ul><li>University of Kansas Medical Center, Wichita, KS</li><li>Ellis Hospital, Schenectady, NY</li><li>Harrison Medical Center, Seattle, WA</li><li>St Francis Hospital, Wilmington, DE </li><li>University of Virginia, Charlottesville, VA</li><li>Valley Medical Center, Renton, WA</li></ul><h4>Internal Medicine</h4><ul><li>Oregon Health and Science University, Portland, OR</li><li>Virginia Commonwealth University Health Systems, Richmond, VA</li><li>University of Chicago Medical Center, Chicago, IL</li></ul><h4>Obstetrics-Gynecology</h4><ul><li>St Francis Hospital, Hartford, CT</li></ul><h4>Pediatrics</h4><ul><li>Case Western University Hospitals Cleveland Medical Center, Cleveland, OH</li><li>Jersey Shore University Medical Center, Neptune City, NJ</li><li>University of Maryland Medical Center, Baltimore, MD</li><li>University of Virginia, Charlottesville, VA</li><li>Vidant Medical Center East Carolina University, Greenville, NC</li></ul><h4>Preliminary Medicine Neurology</h4><ul><li>Howard University Hospital, Washington, DC</li></ul><h4>Preliminary Medicine Radiology</h4><ul><li>Maimonides Medical Center, Bronx, NY</li></ul><h4>Preliminary Medicine Surgery</h4><ul><li>Providence Park Hospital, Southfield, MI</li></ul><h4>Psychiatry</h4><ul><li>University of Maryland Medical Center, Baltimore, MI</li></ul><p></p></div>,
My ultimate goal is to pull this data into a pandas dataframe with the following columns: grad year, specialty, hospital, location
Your code is quite close to finding the end result. Once you have paired the years with the student placement data, simply apply an extraction function to the latter.:
from bs4 import BeautifulSoup as soup
import re
from selenium import webdriver
_d = webdriver.Chrome('/path/to/chromedriver')
_d.get('https://msih.bgu.ac.il/md-program/residency-placements/')
d = soup(_d.page_source, 'html.parser')
def placement(block):
r = block.find_all(re.compile('ul|h4'))
return {r[i].text:[b.text for b in r[i+1].find_all('li')] for i in range(0, len(r)-1, 2)}
result = {i.h2.text:placement(i) for i in d.find_all('div', {'class':'accord-head'})}
print(result['Class of 2019'])
Output:
{'Anesthesiology': ['University at Buffalo School of Medicine, Buffalo, NY'], 'Emergency Medicine': ['Aventura Hospital, Aventura, Fl'], 'Family Medicine': ['Louisiana State University School of Medicine, New Orleans, LA', 'UT St Thomas Hospitals, Murfreesboro, TN', 'Sea Mar Community Health Center, Seattle, WA'], 'Internal Medicine': ['Oregon Health and Science University, Portland, OR', 'St Joseph Hospital, Denver, CO\xa0'], 'Obstetrics-Gynecology': ['Jersey City Medical Center, Jersey City, NJ', 'New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY'], 'Pediatrics': ['St Louis Children’s Hospital, St Louis, MO', 'University of Maryland Medical Center, Baltimore, MD', 'St Christopher’s Hospital, Philadelphia, PA'], 'Surgery': ['Mountain Area Health Education Center, Asheville, NC']}
Note: I ended up using selenium because for me, the returned HTML response from requests.get did not included the rendered student placement data.
You have dictionary with BS elements ('bs4.element.Tag') and you don't have to parse them.
You can directly uses find(), find_all(), etc.
for key, value in data_dict.items():
print(type(value), key, value.find('h4').text)
Result
<class 'bs4.element.Tag'> 2019 Anesthesiology
<class 'bs4.element.Tag'> 2018 Anesthesiology
<class 'bs4.element.Tag'> 2017 Anesthesiology
<class 'bs4.element.Tag'> 2016 Emergency Medicine
<class 'bs4.element.Tag'> 2015 Emergency Medicine
<class 'bs4.element.Tag'> 2014 Anesthesiology
<class 'bs4.element.Tag'> 2013 Anesthesiology
<class 'bs4.element.Tag'> 2012 Emergency Medicine
<class 'bs4.element.Tag'> 2011 Emergency Medicine
<class 'bs4.element.Tag'> 2010 Dermatology
<class 'bs4.element.Tag'> 2009 Emergency Medicine
<class 'bs4.element.Tag'> 2008 Family Medicine
<class 'bs4.element.Tag'> 2007 Anesthesiology
<class 'bs4.element.Tag'> 2006 Triple Board (Pediatrics/Adult Psychiatry/Child Psychiatry)
<class 'bs4.element.Tag'> 2005 Family Medicine
<class 'bs4.element.Tag'> 2004 Anesthesiology
<class 'bs4.element.Tag'> 2003 Emergency Medicine
<class 'bs4.element.Tag'> 2002 Family Medicine
Full code:
import urllib.request
import bs4 as bs
sauce = urllib.request.urlopen('https://msih.bgu.ac.il/md-program/residency-placements/').read()
soup = bs.BeautifulSoup(sauce, 'lxml')
headers = soup.find_all('div', class_={'accord-head'})
grad_yr_list = []
for header in headers:
grad_yr_list.append(header.h2.text[-4:])
rez_classes = soup.find_all('div', class_={'accord-con'})
data_dict = dict(zip(grad_yr_list, rez_classes))
for key, value in data_dict.items():
print(type(value), key, value.find('h4').text)
You can go to pandas once you get the soup, then parse the necessary information
df = pd.DataFrame(soup)
df['grad_year'] = df[0].map(lambda x: x.text[-4:])
df['specialty'] = df[1].map(lambda x: [i.text for i in x.find_all('h4')])
df['hospital'] = df[1].map(lambda x: [i.text for i in x.find_all('li')])
df['location'] = df[1].map(lambda x: [''.join(i.text.split(',')[1:]) for i in x.find_all('li')])
You will have to do some pandas magic after that
I don't know pandas. The following code can get the data in the table. I don't know if this will meet your needs.
import requests
from simplified_scrapy.simplified_doc import SimplifiedDoc
url = 'https://msih.bgu.ac.il/md-program/residency-placements/'
response = requests.get(url)
doc = SimplifiedDoc(response.text)
divs = doc.getElementsByClass('accord-head')
datas={}
for div in divs:
grad_year = div.h2.text[-4:]
rez_classe = div.getElementByClass('accord-con')
h4s = rez_classe.h4s # get h4
for h4 in h4s:
if not h4.next:
continue
lis = h4.next.lis
specialty = h4.text
hospital = [li.text for li in lis]
datas[grad_year]={'specialty':specialty,'hospital':hospital}
for data in datas:
print (data,datas[data])
I've created a script in python to parse different links from a webpage. There are two section in the landing page. One is Top Experiences and the other is More Experiences. My current attempt can fetch the links from both the categories.
The type of links I wanna collect are (few of them) under the Top Experiences section at this moment. However, when I traverse the links under More Experiences section, I can see that they all lead to the page in which there is a section named Experiences under which there are links that are similar to the links under Top Experiences in the landing page. I wanna grab them all.
One such desirable link I'm after looks like: https://www.airbnb.com/experiences/20712?source=seo.
website link
My current attempt fetches the links from both the categories:
import requests
from urllib.parse import urljoin
from bs4 import BeautifulSoup
URL = "https://www.airbnb.com/sitemaps/v2/experiences_pdp-L0-0"
def get_links(link):
res = requests.get(link)
soup = BeautifulSoup(res.text,"lxml")
items = [urljoin(link,item.get("href")) for item in soup.select("div[style='margin-top:16px'] a._1f0v6pq")]
return items
if __name__ == '__main__':
for item in get_links(URL):
print(item)
How can I parse all the links under Top Experiences section along with the links under Experiences section that can be found upon traversing the links under More Experiences?
Please check out the image if anything unclear. I used a pen available in paint so the writing may be a little hard to understand.
The solution is slightly tricky. It can be achieved in several ways. The one I find most useful is use the links under More Experiences within get_links() function recursively. All the links under More Experiences have a common keyword _pdp-.
So, when you define condional statement within the function to make the links sieve through the function get_links() recursively then the else block will produces the desired links. Most important thing to notice is that all the desired links are within the class _1f0v6pq So the logic of getting the links is fairly easy .
import requests
from urllib.parse import urljoin
from bs4 import BeautifulSoup
URL = "https://www.airbnb.com/sitemaps/v2/experiences_pdp-L0-0"
def get_links(link):
res = requests.get(link)
soup = BeautifulSoup(res.text,"lxml")
for item in soup.select("div[style='margin-top:16px'] a._1f0v6pq"):
if "_pdp-" in item.get("href"):
get_links(urljoin(URL,item.get("href")))
else:
print(urljoin(URL,item.get("href")))
if __name__ == '__main__':
get_links(URL)
Process:
Get all Top Experiences links
Get all More Experiences links
Send a request to all More Experiences links one by one and get the links under Experiences in each page.
The div under which the links are present are same for all the pages have the same class _12kw8n71
import requests
from urllib.parse import urljoin
from bs4 import BeautifulSoup
from time import sleep
from random import randint
URL = "https://www.airbnb.com/sitemaps/v2/experiences_pdp-L0-0"
res = requests.get(URL)
soup = BeautifulSoup(res.text,"lxml")
top_experiences= [urljoin(URL,item.get("href")) for item in soup.find_all("div",class_="_12kw8n71")[0].find_all('a')]
more_experiences= [urljoin(URL,item.get("href")) for item in soup.find_all("div",class_="_12kw8n71")[1].find_all('a')]
generated_experiences=[]
#visit each link in more_experiences
for url in more_experiences:
sleep(randint(1,10))#avoid blocking by putting some delay
generated_experiences.extend([urljoin(URL,item.get("href")) for item in soup.find_all("div",class_="_12kw8n71")[0].find_all('a')])
Notes:
Your required links will be present in three lists top_experiences , more_experiences and generated_experiences
I have added random delay to avoid getting blocked.
Not printing the lists as it will be too long.
top_experiences - 50 links
more_experiences - 299 links
generated_experiences -14950 links
Seem like both the "Top Experience" and "More experiences" links share the same class so you can just use .find_all to obtain the links.
import requests
#from urllib.parse import urljoin
from bs4 import BeautifulSoup
# URL to scrape
url = "https://www.airbnb.com/sitemaps/v2/experiences_pdp-L0-0"
# Make request and Initialize BS4 with request content
req = requests.get(url)
soup = BeautifulSoup(req.content, "lxml")
# Tag that contains "Top Experiences" and "More Experiences"
soup.find_all(class_="_l8g1fr")
# Test Code
#Prints title of links and the href
links = soup.find_all(class_="_l8g1fr")
for link in links:
print(link.find("a").get_text())
print(link.find("a").get('href'))
Refactor code to meet your coding paradigm.
You can scrape from the divs with class "_12kw8n71":
from bs4 import BeautifulSoup as soup
import requests
d = soup(requests.get('https://www.airbnb.com/sitemaps/v2/experiences_pdp-L0-0').text, 'html.parser')
a, b, *_ = d.find_all('div', {'class':'_12kw8n71'})
result = {'top_experiences':[[i.text, i['href']] for i in a.find_all('a')], 'more_experiences':[[i.text, i['href']] for i in b.find_all('a')]}
Output (Only top experiences and part of the links from more experiences, as the full output exceeds Stackoverflow's character limit):
{'top_experiences': [["#1 HOLLYWOOD SIGN TOUR - WORLD'S BEST", '/experiences/26790?source=seo'], ['**#1-COMEDY/INSTAGRAM HOLLYWOOD WALK**', '/experiences/94033?source=seo'], ["A Potter's Wheel in Brooklyn", '/experiences/139532?source=seo'], ['Absolute: Seoul Pub Crawl & Party', '/experiences/161886?source=seo'], ['Amsterdam Experience Cruise', '/experiences/145329?source=seo'], ['Argentine Tango classes in London', '/experiences/241771?source=seo'], ['Axe throwing Canadian Experience', '/experiences/372251?source=seo'], ['Be a chocolate maker for a day', '/experiences/161912?source=seo'], ['Chianti in a Glass', '/experiences/179469?source=seo'], ['Cooking class in the Chianti Hills', '/experiences/25122?source=seo'], ['Cycle and Snack through hidden Bangkok', '/experiences/315116?source=seo'], ['Discover Valpolicella', '/experiences/77468?source=seo'], ["Don't watch Soweto, be part of Soweto", '/experiences/243188?source=seo'], ['Explore Pompeii w/ an Archaeologist', '/experiences/176605?source=seo'], ['Explore backstreets with a historian', '/experiences/90528?source=seo'], ['Explore the hidden food gems of Athens', '/experiences/256850?source=seo'], ['Fall and Winter Forest Trail Rides', '/experiences/236040?source=seo'], ['Foodies of Palermo - street food tour', '/experiences/212673?source=seo'], ['Forge a silver ring with jewellers', '/experiences/209198?source=seo'], ['Handmade Family Pasta & Tiramisù', '/experiences/115906?source=seo'], ['Hidden Gems of Old Delhi', '/experiences/154177?source=seo'], ['Hike Runyon Canyon with a rescue dog', '/experiences/82265?source=seo'], ['Hike Table Mountain with a Guide!', '/experiences/137248?source=seo'], ['Kayak in La Jolla', '/experiences/132375?source=seo'], ['Lakehouse Jazz', '/experiences/53239?source=seo'], ["Lisbon's best flavors", '/experiences/64564?source=seo'], ["London's Top Sights Tour : Fun Guide!", '/experiences/203605?source=seo'], ['Make ramen noodles from scratch', '/experiences/61279?source=seo'], ['Mount Etna excursion and lava tubes', '/experiences/221142?source=seo'], ['Must Have L.A. Pictures!', '/experiences/59665?source=seo'], ['MySurf School Bali', '/experiences/153910?source=seo'], ['PASTAMANIA', '/experiences/103280?source=seo'], ['Paddle with the Penguins', '/experiences/112515?source=seo'], ['Paella Maestro', '/experiences/51311?source=seo'], ["Paris' Best Kept Secrets Tour", '/experiences/113388?source=seo'], ['Play, Walk & Feed Anteaters +Kinkajou', '/experiences/270405?source=seo'], ['Red Dunes Safari & BBQ #The Real Camp', '/experiences/105242?source=seo'], ['San José Chocolate Tasting Tour', '/experiences/280822?source=seo'], ['Snorkel in Manly with a local expert', '/experiences/66873?source=seo'], ['Sunrise SUP into Caves & Grottos', '/experiences/242911?source=seo'], ['Sushi-making Experience', '/experiences/53271?source=seo'], ['Swim with sea lions in their natural habitat', '/experiences/327235?source=seo'], ['The Drinking & Prohibition walk', '/experiences/102778?source=seo'], ['The Ultimate Harry Potter Walking Tour', '/experiences/188432?source=seo'], ['Tsukiji (Old) vs Toyosu (New) S.S Tour', '/experiences/71924?source=seo'], ['Wolf Encounter', '/experiences/47240?source=seo'], ['XXL Wild&Organic Roman food: Eat&Learn', '/experiences/161461?source=seo'], ['Your First Chinese Seal-engraving Work', '/experiences/166172?source=seo'], ['Под руку с духами по старой Москве', '/experiences/94558?source=seo'], ["⭐BIKE to taste the world's BEST TACOS!", '/experiences/75047?source=seo']], 'more_experiences': [[" Flying Trapeze - 'Ten Things I Hate About You' Tour", '/sitemaps/v2/experiences_pdp-L1-0'], ["'The Devil in the White City' Tour - 23:59 in Paris", '/sitemaps/v2/experiences_pdp-L1-1'], ["24h en Republica Dominicana - 80s Cover Band's Secret Gig[FUKUOKA]", '/sitemaps/v2/experiences_pdp-L1-2'], ['80s Nights - A Journey Through History', '/sitemaps/v2/experiences_pdp-L1-3'], ["A Journey for the Tastebuds, in Malaga - A Tea Sommelier's Zen Tea Party", '/sitemaps/v2/experiences_pdp-L1-4'], ['A Time for Home - A music walk with a french composer', '/sitemaps/v2/experiences_pdp-L1-5'], ['A musical walk in Salzburg - ANALOG PHOTOGRAPHY in DC! 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Brussels', '/sitemaps/v2/experiences_pdp-L1-82'], ['Everyone can do Calligraphy - Experience Fabulous698B! Spring menu!', '/sitemaps/v2/experiences_pdp-L1-83'], ['Experience Falconry Firsthand - Experience a tasting menu in Saigon', '/sitemaps/v2/experiences_pdp-L1-84'], ['Experience a traditional Sunday lunch - Experiencia de golf en Buenos Aires', '/sitemaps/v2/experiences_pdp-L1-85'], ['Experiencia de un día en Salamanca - Explore Bowen Island Walking Adventure', '/sitemaps/v2/experiences_pdp-L1-86'], ['Explore Brazilian cuisine with a chef - Explore Korea broadcast Town & MBC', '/sitemaps/v2/experiences_pdp-L1-87'], ['Explore Korčula with Art historian - Explore Saratoga Passage by Kayak', '/sitemaps/v2/experiences_pdp-L1-88'], ['Explore Sceneries of Sokcho - Explore city nightlife with a musician', '/sitemaps/v2/experiences_pdp-L1-89'], ['Explore city nightlife with locals! - Explore the Old District Sham Shui Po', '/sitemaps/v2/experiences_pdp-L1-90'], ['Explore the Oslo Wilderness in Kayak - Exploring Maspalomas by E-Scooter', '/sitemaps/v2/experiences_pdp-L1-91'], ['Exploring RawaPening Lake of Salatiga - FOOTBALL MATCH IN MEDELLIN', '/sitemaps/v2/experiences_pdp-L1-92'], ['FOREST BATHING AND CREATING MEMORIES - Fantasy Photo~Shoot with A Unicorn...', '/sitemaps/v2/experiences_pdp-L1-93'], ['Fantasy adventure in the mountains - Fazendo Arte na Serra da Cantareira!', '/sitemaps/v2/experiences_pdp-L1-94'], ['Faça acrobacia em tecido como circense - Film your experience in Osaka', '/sitemaps/v2/experiences_pdp-L1-95'], ['FilmNeverDies-Filmphotography Workshop - Fishing with the Presidents', '/sitemaps/v2/experiences_pdp-L1-96'], ['Fishing, Malecon and Sunset - Florist in Paris', '/sitemaps/v2/experiences_pdp-L1-97'], ['Florist terrace & aperol spritz - Follow a historian through Havana', '/sitemaps/v2/experiences_pdp-L1-98'], ['Follow a local in vibrant East London - Food, Fotos & The French', '/sitemaps/v2/experiences_pdp-L1-99'], ['Food, Nature and Art on Tuscan Hills - Fossil Recovery Exploration', '/sitemaps/v2/experiences_pdp-L1-100'], ['Fossil hunting, Lets GO! - French food market tour & aperitif', '/sitemaps/v2/experiences_pdp-L1-101'], ['French macarons baking class - Full day surf experience', '/sitemaps/v2/experiences_pdp-L1-102'], ['Full day trail ride - Gaelic Craic and Cuisine', '/sitemaps/v2/experiences_pdp-L1-103'], ['Gain insight from a spiritual healer - Gems of Rome...', '/sitemaps/v2/experiences_pdp-L1-104'], ['Generations of Beekeeping - Get uplifted with gospel in Harlem', '/sitemaps/v2/experiences_pdp-L1-105'], ['Get ur Shine On Moonshine/Whiskey Tour - Glenorchy and Paradise Explorer', '/sitemaps/v2/experiences_pdp-L1-106'], ['Gliding on the Ice in the Red Dot - Goat Yoga!', '/sitemaps/v2/experiences_pdp-L1-107'], ['Goatherd for one day! - Graffiti, Street & Young Art in Vienna', '/sitemaps/v2/experiences_pdp-L1-108'], ['Grampians hike & waterfalls - Guide tours with E-bike in Menorca', '/sitemaps/v2/experiences_pdp-L1-109'], ['Guided Photo Tour ART Walk - Guitar workshop for the Byron Vibe', '/sitemaps/v2/experiences_pdp-L1-110'], ['Gulf Coast Birding For Beginners - Hand Building with clay in Brooklyn', '/sitemaps/v2/experiences_pdp-L1-111'], ['Hand Coffee Roasting & Cupping Class - 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Joshua Tree Macramé Journey', '/sitemaps/v2/experiences_pdp-L1-131'], ['Joshua Tree Recording Studio & Lodging - Kamikochi hike and visit the Shrine', '/sitemaps/v2/experiences_pdp-L1-132'], ['Kanazawa Haul at Depachika - Kayak with the Dolphins', '/sitemaps/v2/experiences_pdp-L1-133'], ['Kayak&Snorkeling experience in Genoa - Kitesurf In Lake Garda', '/sitemaps/v2/experiences_pdp-L1-134'], ['Kitesurf Lecce-Scuola Kite Salento - Kundalini Yoga to awaken Inner Lover', '/sitemaps/v2/experiences_pdp-L1-135'], ['Kundalini Yoga, Gong and Yogi Tea - LGBTQ+ History Tour of Brighton', '/sitemaps/v2/experiences_pdp-L1-136'], ['LGBTQ+ queer and trans tour of London - Lamawandern im Mostviertel', '/sitemaps/v2/experiences_pdp-L1-137'], ['Lamb Farm Life - Learn 3D printing at Maker Bean Cafe!', '/sitemaps/v2/experiences_pdp-L1-138'], ['Learn 3D printing: design a souvenir - Learn Pencak Silat (Bali Martial Art)', '/sitemaps/v2/experiences_pdp-L1-139'], ['Learn Phone Photography in Mongkok - Learn and indulge in Quercy cuisine', '/sitemaps/v2/experiences_pdp-L1-140'], ['Learn and play poker in Barão Geraldo - Learn how to wakeboard', '/sitemaps/v2/experiences_pdp-L1-141'], ['Learn how to wakeboard or wakesurf - Learn to DJ and dance at a queer club', '/sitemaps/v2/experiences_pdp-L1-142'], ['Learn to DJ at Private Studio - Learn to bake sourdough in my kitchen', '/sitemaps/v2/experiences_pdp-L1-143'], ['Learn to bake traditional Irish Breads - Learn to play badminton!', '/sitemaps/v2/experiences_pdp-L1-144'], ['Learn to play poker from a Vegas pro - Legends and secrets with traditional music', '/sitemaps/v2/experiences_pdp-L1-145'], ["Lei Po'o (Flower Crown) Workshop - Let's learn how to wearing kimono", '/sitemaps/v2/experiences_pdp-L1-146'], ["Let's learn to SKETCH & DRAW! - Life changing Hike on Crowders Mtn.", '/sitemaps/v2/experiences_pdp-L1-147'], ['Life coaching with horses - Lisbon with the historic tram', '/sitemaps/v2/experiences_pdp-L1-148'], ["Lisbon's CatWalk - Living the Santa Cruz Canyon!", '/sitemaps/v2/experiences_pdp-L1-149'], ['Living the dying city! - London Chicken Wing Tour!', '/sitemaps/v2/experiences_pdp-L1-150'], ['London Christmas Lights Running Tour - Luis Barragán en 5 tiempos.', '/sitemaps/v2/experiences_pdp-L1-151'], ['Lujan de Cuyo Private Wine Tour - Macaron Class in Paris', '/sitemaps/v2/experiences_pdp-L1-152'], ["Macaron Masterclass in Borough - Makati's best food drinks and music", '/sitemaps/v2/experiences_pdp-L1-153'], ['Make Fujiyama Katsu-Curry with a chef - Make Wine Candles+Bottle Cutting (DIY)', '/sitemaps/v2/experiences_pdp-L1-154'], ['Make Your Leather Tortellino Keychain - Make a seashell frame after a boatride', '/sitemaps/v2/experiences_pdp-L1-155'], ['Make a signature scent with a perfumer - Make sushi in a traditional folk house', '/sitemaps/v2/experiences_pdp-L1-156'], ['Make sustainable leather espadrilles - Make your own silk scarf in Paris !', '/sitemaps/v2/experiences_pdp-L1-157'], ['Make your own silver jewel in Florence - Malen und Zeichnen', '/sitemaps/v2/experiences_pdp-L1-158'], ['Maleny Yoga Rainforest Wellness - Market Tour and a Home Cooked Meal', '/sitemaps/v2/experiences_pdp-L1-159'], ['Market Tour&Cook Kenyan cultural food - Matera Photo Journey', '/sitemaps/v2/experiences_pdp-L1-160'], ['Mathematics Walking Tour of Amsterdam - Meditazione rilassamento profondo', '/sitemaps/v2/experiences_pdp-L1-161'], ['Meditazione e benEssere in spiaggia - Men & Womens Wellness Retreat', '/sitemaps/v2/experiences_pdp-L1-162'], ['Mental Wellness Picnic Chat - Midday Vermouth Madrileño & Tortilla', '/sitemaps/v2/experiences_pdp-L1-163'], ['Middle Eastern Food Cooking Class - Mini Horse Experience!', '/sitemaps/v2/experiences_pdp-L1-164'], ['Mini Nature Retreat - Moniz Family Surf: Private Surf Lesson', '/sitemaps/v2/experiences_pdp-L1-165'], ['Moniz Family Surf: Waikiki Surf Lesson - Morocco in frames:Culture &photography', '/sitemaps/v2/experiences_pdp-L1-166'], ['Mortadella & Bologna: a love story - Mountain plateau hike (5-7 hr)', '/sitemaps/v2/experiences_pdp-L1-167'], ['Mountain summit and cozy restaurant - Music, Mummies, and Museums!', '/sitemaps/v2/experiences_pdp-L1-168'], ['Music, art, history, Rio nightlife - NEW! Amsterdam light cruise', '/sitemaps/v2/experiences_pdp-L1-169'], ['NEW! Aperitivo tour - Fun Fun Fun! ❤️ - National Arboretum and #madeinDC Tour', '/sitemaps/v2/experiences_pdp-L1-170'], ['National Gallery with an Art Historian - Nature trails & Birding near Cali', '/sitemaps/v2/experiences_pdp-L1-171'], ['Nature walk near Hotspring in Jozankei - Night Cheese: California Artisans', '/sitemaps/v2/experiences_pdp-L1-172'], ["Night Cherry Viewing - Nonna Cecilia's Pasta Workshop!", '/sitemaps/v2/experiences_pdp-L1-173'], ['Noodle & Roll & Water Puppet Theater - Obstacle Course Adventure', '/sitemaps/v2/experiences_pdp-L1-174'], ['Ocean Beach Coffee Cart Bike Tour - Old Montreal: Intimate & Personalized', '/sitemaps/v2/experiences_pdp-L1-175'], ['Old Quebec : Mesdames & Mesdemoiselles - Ontdek de ambacht van het jam maken', '/sitemaps/v2/experiences_pdp-L1-176'], ['OoLong Tea Tasting - Osaka Old City Walk Tour with Sweets!', '/sitemaps/v2/experiences_pdp-L1-177'], ['Osaka Shinsekai/Dotonbori Walking Tour - PASTA MATRICIANA MAKING CLASS', '/sitemaps/v2/experiences_pdp-L1-178'], ['PASTA grani antichi PANE lievito nat - Paddle with the Penguins', '/sitemaps/v2/experiences_pdp-L1-179'], ['Paddle your way in history - Paint a skateboard deck with an artist', '/sitemaps/v2/experiences_pdp-L1-180'], ['Paint a surfboard to send home! - Painting on the Amalfi Coast.', '/sitemaps/v2/experiences_pdp-L1-181'], ['Painting on the Pier - Paris fabrics & crafts', '/sitemaps/v2/experiences_pdp-L1-182'], ['Paris for Families - Passeio a cavalo no por do Sol', '/sitemaps/v2/experiences_pdp-L1-183'], ['Passeio agradável no bairro do Bexiga! - Pedal untamed back roads of Outaouais', '/sitemaps/v2/experiences_pdp-L1-184'], ['Pedala nelle pinete di Ravenna - Personal Shopping Consultant', '/sitemaps/v2/experiences_pdp-L1-185'], ['Personal Shopping For Bespoke Suits - Photo Session in beautiful Basel', '/sitemaps/v2/experiences_pdp-L1-186'], ['Photo Session in sunny Ibiza - Photo tour of Dublin city', '/sitemaps/v2/experiences_pdp-L1-187'], ["Photo tour on bike with an expert - Photographing in 'off-piste' Tokyo.", '/sitemaps/v2/experiences_pdp-L1-188'], ['Photographing in Palermo markets - Photoshoot for yoga lovers in Paris', '/sitemaps/v2/experiences_pdp-L1-189'], ['Photoshoot from Varadero to Havana - Pick plant n Cook,KANOM JAAK,dessert', '/sitemaps/v2/experiences_pdp-L1-190'], ['Pick wild apples and can applesauce - Pizza Class on a Renaissance Terrace', '/sitemaps/v2/experiences_pdp-L1-191'], ['Pizza Cooking Class in Milan - Play the Chinese ink art with Runkuan', '/sitemaps/v2/experiences_pdp-L1-192'], ['Play the Fiddle in Under an Hour - Por los Cerros de Santiago.', '/sitemaps/v2/experiences_pdp-L1-193'], ['Por los cementerios de Chepe. - Pose for pin-ups with a photographer', '/sitemaps/v2/experiences_pdp-L1-194'], ['Pose for portraits in Cambridge - Prague experience: archaeology&history', '/sitemaps/v2/experiences_pdp-L1-195'], ['Prague for Locals and You - Private Alpine Backpacking Trip', '/sitemaps/v2/experiences_pdp-L1-196'], ['Private Amalfi & Positano HalfDay tour - Private Yoga Class & Eco Snack', '/sitemaps/v2/experiences_pdp-L1-197'], ['Private Yoga Class for All Levels - Professional photos of your LA Vacay!', '/sitemaps/v2/experiences_pdp-L1-198'], ['Professional photoshoot by the sea - Pêche dans le Parc du Mercantour', '/sitemaps/v2/experiences_pdp-L1-199'], ['Pêche des Calamars en mer - Rafting the Isar', '/sitemaps/v2/experiences_pdp-L1-200'], ['Rafting trip-Snorkeling&cliff jumping - Recording Studio Magic (Immersive)', '/sitemaps/v2/experiences_pdp-L1-201'], ['Recording your own k-pop song - Relaxing Costarican Typical Trails', '/sitemaps/v2/experiences_pdp-L1-202'], ['Relaxing Countryside : Somewhere Snowy - Ride OFF Road in Puerto Rico', '/sitemaps/v2/experiences_pdp-L1-203'], ['Ride Retired Racehorses at Lake Fork - River hike captured on drone video', '/sitemaps/v2/experiences_pdp-L1-204'], ['River view cooking with super mom chef - Romancing the Bean', '/sitemaps/v2/experiences_pdp-L1-205'], ['Romantic "Aperitivo" with lake view - Rugged North Cascades Private Day Tour', '/sitemaps/v2/experiences_pdp-L1-206'], ['Ruin Pub Crawl with a Local Hostess - Running Tour of Brooklyn!', '/sitemaps/v2/experiences_pdp-L1-207'], ['Running Tour of San Diego - SAORI freestyle weaving for everyone', '/sitemaps/v2/experiences_pdp-L1-208'], ['SASHIKO; Learn the Japanese embroidery - SUP around Balboa Isle & the Back Bay', '/sitemaps/v2/experiences_pdp-L1-209'], ['SUP at sunset - Sail around the city with a boat lover', '/sitemaps/v2/experiences_pdp-L1-210'], ['Sail at Sunset in Porto - Sails, Whales, and Trails', '/sitemaps/v2/experiences_pdp-L1-211'], ['Sailtour Lake Lucerne - Samurai Kendo Experience', '/sitemaps/v2/experiences_pdp-L1-212'], ['Samurai Ninja Experience & Guided Tour - Sardinia: sip by sip', '/sitemaps/v2/experiences_pdp-L1-213'], ['Sardinian identity in the kitchen - Scotch Whisky & Cheese Tasting', '/sitemaps/v2/experiences_pdp-L1-214'], ['Scotland Adventure Adrenaline Day - Seaside Yoga', '/sitemaps/v2/experiences_pdp-L1-215'], ['Seaside bike ride and paddle surfing - Secretos de la Perla Tapatía', '/sitemaps/v2/experiences_pdp-L1-216'], ['Secretos del centro de Coyoacán - Segeln in Berlin', '/sitemaps/v2/experiences_pdp-L1-217'], ['Segeltörn auf dem Steinhuder Meer - Seville From The Rooftops', '/sitemaps/v2/experiences_pdp-L1-218'], ['Seville Great Experience in E-Bike - Shmurgle a Goat, Cosy Winter Edition', '/sitemaps/v2/experiences_pdp-L1-219'], ['Shochu tasting workshop in Asakusa - Shop-til-you-drop with Fashion Stylist', '/sitemaps/v2/experiences_pdp-L1-220'], ['Shopper bag making class - Silicon Valley High Tech Company Tour', '/sitemaps/v2/experiences_pdp-L1-221']]}