How to Scrape Website Contact — Free No-Code Guide (2026)

#website #webscraping #api #python

If you need to pull Website Contact data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Website Contact Extractor: Emails, Phones & Socials, a hosted scraper on the Apify platform. You only need a free Apify token — no Website Contact login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

Clean, structured JSON rows

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/website-contact-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install website-contact-scraper

const scrape = require("website-contact-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install website-contact-scraper

from website_contact_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`startUrls`	array	Start URLs
`maxDepth`	integer	Crawl Depth
`proxyConfiguration`	object	Proxy Configuration
`maxRequestsPerCrawl`	integer	Max Pages limit
`useJsBrowser`	boolean	Use JS Browser (Playwright)

Common use cases

Build a fresh Website Contact dataset for analysis or dashboards
Feed Website Contact records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Website Contact data

Automation & export

Because it runs on Apify, you can schedule it, trigger it via webhook, and pipe results into Google Sheets, S3, Zapier, Make or n8n. Every run's dataset is downloadable as CSV, JSON, JSONL, Excel or XML.