scrapes a website (Selenium, SeleniumBase, undetected chromedriver ...) with iframes and returns a DataFrame
Project description
scrapes a website (Selenium, SeleniumBase, undetected chromedriver ...) with iframes and returns a DataFrame
Tested against Windows / Python 3.11 / Anaconda
pip install multiiframes2df
Scrapes data using the provided driver and processes it to return a DataFrame
which includes each element and its children.
Args:
driver: The driver used to scrape the data.
filter_function: A function to filter the scraped data (default is None).
chunks: The number of chunks to divide the data into for processing (default is 1).
processes: The number of processes to use for parallel processing (default is 4).
print_stdout: Boolean indicating whether to print stdout (default is False).
print_stderr: Boolean indicating whether to print stderr (default is True).
Returns:
pandas DataFrame: The processed and filtered data.
Example:
from PrettyColorPrinter import add_printer # optional
from seleniumbase import Driver
from multiiframes2df import fast_scrape
add_printer(1)
driver = Driver(uc=True, undetected=True)
driver.get(r"https://testpages.herokuapp.com/styled/iframes-test.html")
df = fast_scrape(
driver=driver,
filter_function=None,
chunks=1,
processes=4,
print_stdout=False,
print_stderr=True,
)
for name, group in df.groupby("aa_groupnumber"):
print(name, group)
df2 = fast_scrape(
driver=driver,
filter_function=lambda x: "List" in x and "<html>" not in x and "<body>" not in x,
chunks=1,
processes=4,
print_stdout=False,
print_stderr=True,
)
for name, group in df2.groupby("aa_groupnumber"):
print(name, group)
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