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peopleperhour.com 2026-04-30 π‘
πΉ Scraping SMSpva.com Services by Country
π€ Client: πΊπΈ United States Member since ****
π° Price: $15
π© Problem: Automate the extraction of service names and prices from SMSpva.com for multiple countries.
π¦ Existing: Not specified
Specifications:
[Target] Extract service names and their corresponding prices for each country.
[Method] Python script using BeautifulSoup or Scrapy framework.
[UI/UX] N/A
[Stack] Python, BeautifulSoup/Scrapy, Requests, JSON output.
[Security] Ensure no direct database access; use web scraping techniques only.
[Format] Output in JSON format with country as key and services as nested dictionary.
Workflow:
Install necessary libraries:
pip install requests beautifulsoup4 json
Write a Python script to navigate through the website for each specified country, select 'United States', 'UK', 'Netherlands', 'France', 'Germany', 'Poland', 'Australia', 'Italy', and 'Austria'.
Parse the HTML content to extract service names and their prices.
Store the extracted data in a structured JSON format.