# Wayback Machine Snapshots Finder (Internet Archive) (`arthursbuisness/wayback-machine-snapshots`) Actor

List archived snapshots of any URL or site from the Internet Archive Wayback Machine: timestamp, date, status, MIME type, digest and direct archive link; date ranges, one-per-day collapsing, optional archived text. Pay per snapshot.

- **URL**: https://apify.com/arthursbuisness/wayback-machine-snapshots.md
- **Developed by:** [Arthur](https://apify.com/arthursbuisness) (community)
- **Categories:** Developer tools, SEO tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 1,000 returned snapshots

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Wayback Machine Snapshots Finder — archived versions of any URL

Find every archived copy of a page (or a whole site) in the Internet Archive's Wayback Machine and get a clean table: timestamp, date, HTTP status, MIME type, digest (to spot changed content) and the direct archive link. Optionally download the archived page text for each snapshot.

### Use cases

- **Change monitoring**: see when a page changed (digest changes) — pricing pages, terms, product listings.
- **Compliance & evidence**: capture what a page looked like on a date.
- **Research & SEO**: history of a competitor's site, dead-link recovery, content archaeology.
- **Datasets**: pull archived text for LLM/RAG pipelines.

### Input

`urls` (list), `matchType` (exact / prefix / domain), `from` / `to` (YYYYMMDD), `onlyOk` (HTTP 200 only), `collapseDaily` (one per day), `limitPerUrl`, `fetchText` (include archived text).

### Output

One item per snapshot: `query_url, timestamp, date, original, statuscode, mimetype, digest, length, wayback_url` (+ `text`, `chars` when `fetchText` is on).

### Pricing

Pay per event: **$0.0005 per snapshot** ($0.50 per 1,000). With `fetchText`, each snapshot download is charged once as a snapshot event as well.

### Notes

Uses the public Wayback CDX API respectfully (rate-limited). The Internet Archive may throttle very large domain queries — use `from`/`to` and `limitPerUrl`.

# Actor input Schema

## `urls` (type: `array`):

Pages to look up (exact URL, or a domain with wildcard mode).

## `matchType` (type: `string`):

exact = this URL only; prefix = all URLs starting with it; domain = whole host.

## `from` (type: `string`):

Earliest snapshot date, e.g. 20240101.

## `to` (type: `string`):

Latest snapshot date.

## `onlyOk` (type: `boolean`):

Keep only snapshots with HTTP status 200.

## `collapseDaily` (type: `boolean`):

Collapse to the first capture of each day.

## `limitPerUrl` (type: `integer`):

Maximum number of snapshots to return per URL (1–20000).

## `fetchText` (type: `boolean`):

Download each snapshot and include extracted text (slower, charged per snapshot as well).

## Actor input object example

```json
{
  "urls": [
    "https://www.marktplaats.nl/"
  ],
  "matchType": "exact",
  "onlyOk": true,
  "collapseDaily": true,
  "limitPerUrl": 500,
  "fetchText": false
}
```

# Actor output Schema

## `snapshots` (type: `string`):

One item per archived snapshot

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.marktplaats.nl/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("arthursbuisness/wayback-machine-snapshots").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": ["https://www.marktplaats.nl/"] }

# Run the Actor and wait for it to finish
run = client.actor("arthursbuisness/wayback-machine-snapshots").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.marktplaats.nl/"
  ]
}' |
apify call arthursbuisness/wayback-machine-snapshots --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,arthursbuisness/wayback-machine-snapshots"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/T2OWv94DsdcvFHa5h/builds/oGnREdAGiC8cXllHW/openapi.json