Web Crawling Services


import requests
from bs4 import BeautifulSoup

url = "https://example-job-board.com/jobs"
headers = {"User-Agent": "Your User-Agent"}
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.content, "html.parser")

# Extract job postings
for job in soup.find_all("div", class_="job-listing"):
    title = job.find("h2").text
    company = job.find("div", class_="company").text
    location = job.find("div", class_="location").text
    print(f"Title: {title}, Company: {company}, Location: {location}")

Frequently Asked Questions

Share this Article :

Build the scraper you want123

We’ll customize your concurrency, speed, and extended trial — for high-volume scraping.

Continue Reading

E-Commerce2

How to Extract & Save Facebook Group Members to a Google Sheet?

Get a jump on including Bootstrap's source files in a new project with our official guides.Get a jump on including Bootstrap's source files.

Parth Vataliya 4 Min Read
E-Commerce2

How to Extract & Save Facebook Group Members to a Google Sheet?

Get a jump on including Bootstrap's source files in a new project with our official guides.Get a jump on including Bootstrap's source files.

Parth Vataliya 4 Min Read
E-Commerce2

How to Extract & Save Facebook Group Members to a Google Sheet?

Get a jump on including Bootstrap's source files in a new project with our official guides.Get a jump on including Bootstrap's source files.

Parth Vataliya 4 Min Read
Scroll to Top