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* deps: migrate from httpx to httpx2 (pydantic's maintained fork) Mechanical rename of httpx -> httpx2 (API-compatible fork of httpx 0.28.1): pyproject.toml deps, PEP 723 inline-script headers, and all import/call sites. Excludes uv.lock (the keeper's allow-list rejects .lock files); the lock refresh needs a separate maintainer-merged PR. Refs #15081 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * deps: drop tweepy + migrate remaining requests refs to httpx2 - maths/allocation_number.py: docstring example uses httpx2, not requests - web_programming/get_imdbtop.py.DISABLED: import httpx2 instead of requests - remove web_programming/get_user_tweets.py.DISABLED (a Twitter API how-to, not an algorithm) and drop the tweepy dependency that was its only user and the last high-level dep pulling in requests - uv.lock intentionally untouched (keeper allow-list) Refs #15081 --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
92 lines
2.7 KiB
Python
92 lines
2.7 KiB
Python
"""
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Scrape the price and pharmacy name for a prescription drug from rx site
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after providing the drug name and zipcode.
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"""
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import httpx2
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from bs4 import BeautifulSoup
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BASE_URL = "https://www.wellrx.com/prescriptions/{}/{}/?freshSearch=true"
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def fetch_pharmacy_and_price_list(drug_name: str, zip_code: str) -> list | None:
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"""[summary]
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This function will take input of drug name and zipcode,
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then request to the BASE_URL site.
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Get the page data and scrape it to generate the
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list of the lowest prices for the prescription drug.
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Args:
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drug_name (str): [Drug name]
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zip_code(str): [Zip code]
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Returns:
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list: [List of pharmacy name and price]
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>>> print(fetch_pharmacy_and_price_list(None, None))
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None
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>>> print(fetch_pharmacy_and_price_list(None, 30303))
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None
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>>> print(fetch_pharmacy_and_price_list("eliquis", None))
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None
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"""
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try:
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# Has user provided both inputs?
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if not drug_name or not zip_code:
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return None
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request_url = BASE_URL.format(drug_name, zip_code)
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response = httpx2.get(request_url, timeout=10).raise_for_status()
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# Scrape the data using bs4
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soup = BeautifulSoup(response.text, "html.parser")
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# This list will store the name and price.
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pharmacy_price_list = []
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# Fetch all the grids that contain the items.
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grid_list = soup.find_all("div", {"class": "grid-x pharmCard"})
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if grid_list and len(grid_list) > 0:
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for grid in grid_list:
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# Get the pharmacy price.
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pharmacy_name = grid.find("p", {"class": "list-title"}).text
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# Get the price of the drug.
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price = grid.find("span", {"p", "price price-large"}).text
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pharmacy_price_list.append(
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{
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"pharmacy_name": pharmacy_name,
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"price": price,
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}
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)
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return pharmacy_price_list
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except httpx2.HTTPError, ValueError:
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return None
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if __name__ == "__main__":
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# Enter a drug name and a zip code
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drug_name = input("Enter drug name: ").strip()
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zip_code = input("Enter zip code: ").strip()
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pharmacy_price_list: list | None = fetch_pharmacy_and_price_list(
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drug_name, zip_code
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)
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if pharmacy_price_list:
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print(f"\nSearch results for {drug_name} at location {zip_code}:")
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for pharmacy_price in pharmacy_price_list:
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name = pharmacy_price["pharmacy_name"]
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price = pharmacy_price["price"]
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print(f"Pharmacy: {name} Price: {price}")
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else:
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print(f"No results found for {drug_name}")
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