def test_from_username(profile):
expected_profile_username = '******'
result_profile: Profile = Profile.from_username(username=expected_profile_username)
assert result_profile.name == profile.data_points[0].username
assert result_profile.url == profile.url
def test_from_username():
expected_profile_usename = "instagram"
expected_profile_url = f"https://www.instagram.com/{expected_profile_usename}/"
result_profile: Profile = Profile.from_username(
username=expected_profile_usename)
assert result_profile.name == expected_profile_usename
assert result_profile.url == expected_profile_url
def test_from_username(self, page_instance):
expected_profile_username = "******"
result_profile: Profile = Profile.from_username(
username=expected_profile_username)
assert result_profile.url == page_instance.url
import json # import needed libraries / pip3 install json
from instascrape import Profile # pip3 install insta-scrape
import pandas as pd # pip3 install pandas
google = Profile.from_username("google") # declare profile
google.load() # scrape profile
google_data = google.to_dict() # turn scraped data into python dictionary
google_data = {key: [val] for key, val in google_data.items()}
df = pd.DataFrame(google_data).transpose()
df.to_csv(
"google.csv",
encoding="utf-8") # convert dataframe to csv and write to "google.csv"
from instascrape import Profile
user_name = Profile.from_username('pycoders')
user_name.load()
recent = user_name.get_recent_posts()
profile_photos = [post for post in recent if not post.is_video]
for post in profile_photos:
img = post.upload_date.strftime("%Y-%m-%d %Hh%Mm")
post.download(f"{img}.png")
import json # import needed libraries / pip3 install json
from instascrape import Profile # pip3 install insta-scrape
import pandas as pd # pip3 install pandas
google = Profile.from_username('google') # declare profile
google.static_load() # scrape profile
google_data = google.data_points[0].to_dict() # turn scraped data into python dictionary
google_data = {key: [val] for key, val in google_data.items()}
df = pd.DataFrame(google_data)
df.to_csv('google.csv', encoding='utf-8', index=False) # convert dataframe to csv and write to "google.csv"