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priya-sundaram-devandpre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> bfa655ecea deps: migrate from httpx to httpx2 (pydantic's maintained fork) (#15192)
* 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>
2026-09-05 09:26:45 +02:00

35 lines
1015 B
Python

"""
Scraping jobs given job title and location from indeed website
"""
# /// script
# requires-python = ">=3.13"
# dependencies = [
# "beautifulsoup4",
# "httpx2",
# ]
# ///
from __future__ import annotations
from collections.abc import Generator
import httpx2
from bs4 import BeautifulSoup
url = "https://www.indeed.co.in/jobs?q=mobile+app+development&l="
def fetch_jobs(location: str = "mumbai") -> Generator[tuple[str, str]]:
soup = BeautifulSoup(httpx2.get(url + location, timeout=10).content, "html.parser")
# This attribute finds out all the specifics listed in a job
for job in soup.find_all("div", attrs={"data-tn-component": "organicJob"}):
job_title = job.find("a", attrs={"data-tn-element": "jobTitle"}).text.strip()
company_name = job.find("span", {"class": "company"}).text.strip()
yield job_title, company_name
if __name__ == "__main__":
for i, job in enumerate(fetch_jobs("Bangalore"), 1):
print(f"Job {i:>2} is {job[0]} at {job[1]}")