🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-14 🟢

🔹 Extract Contact Information from Garden Centre Profiles
👤 Client: 🇬🇧 Swindon, United Kingdom Member since 2026-04-13
💰 Price: $133 Average bid
🚩 Problem: Automate the extraction of contact details for garden centres listed on a website.
📦 Existing: [login to view URL]

Specifications:

[Target] Extract phone number, email address, and full physical address from each garden centre profile on [login to view URL].
[Method] Web scraping using Python with libraries like BeautifulSoup or Scrapy.
[UI/UX] N/A
[Stack] Python, BeautifulSoup/Scrapy, Pandas for data manipulation, Excel export.
[Security] Ensure compliance with website terms of service and legal requirements. Use proxies to avoid IP bans.
[Format] Deliver as an Excel file with columns: Garden-centre name, Phone, Email, Street address, Town/City, Postcode.

Workflow:

Analyze the structure of [login to view URL] to identify the location and format of contact information on each garden centre profile.
Set up a Python environment with necessary libraries (BeautifulSoup/Scrapy, Pandas).
Write scraping scripts to navigate through each garden centre profile and extract required data. Handle missing fields by leaving cells blank.
Test the script on a sample set of profiles to ensure accuracy in data extraction.
Refine the script based on testing results and re-run for full dataset.
Export the collected data into an Excel file with specified columns.
Double-check the final dataset for consistency and accuracy before delivery.