How to Scrape Wayback Machine URL — Free No-Code Guide (2026)

#wayback #webscraping #api #python

If you need to pull Wayback Machine URL 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 Wayback Machine URL Extractor - Archived URLs, a hosted scraper on the Apify platform. You only need a free Apify token — no Wayback Machine URL login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

url
domain
capturedAt
statusCode
mimeType
snapshotUrl

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/wayback-machine-url-extractor
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 wayback-machine-url-extractor

const scrape = require("wayback-machine-url-extractor");

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

Option 3 — Python

pip install wayback-machine-url-extractor

from wayback_machine_url_extractor 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
`domains`	array	Domains
`matchType`	string	Match Type
`fromDate`	string	From Date (YYYYMMDD)
`toDate`	string	To Date (YYYYMMDD)
`filterStatus`	string	HTTP Status Filter
`maxResults`	integer	Max Results Per Domain
`proxyConfiguration`	object	Proxy Configuration

Common use cases

Build a fresh Wayback Machine URL dataset for analysis or dashboards
Feed Wayback Machine URL 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 Wayback Machine URL 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.