Project

Describe

Type

• url: https://ffp.nl/vind-een-planner/
• speed page search: 17 it/s
• speed page people: 3.7 it/s
• All time: 4 minets on 913 peoples

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User library

requirements.txt

- pandas
- bs4
- lxml
- requests
- tqdm
- openpyxl

How run project themselves

Get project

git copy https://github.com/bontonent/FFP-site.git
cd ./FFP-site

Make environment with library

python -m venv .venv
source ./.venv/bin/activate # for linux
pip install -r requirements.txt

Run project

python main.py

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Exercise

Summary

We are seeking a skilled web scraper to extract all contact information, including email addresses, from the following page: https://ffp.nl/vind-een-planner/

We only need the contacts categorized under 'Vermogensopbouw' (169 contacts) The ideal candidate will have experience with data scraping tools and techniques. You will be responsible for collecting accurate email data from each relevant pages.

Each contact has its own individual page with phone number, website, email and address. We want to extract that as well.

Deliverables

A CSV/Excel file containing 169 contacts from the FFP page including contact details.

Complete in answer.xlsx