Memento TimeMap Harvester
Pricing
from $0.35 / 1,000 memento parseds
Point at ANY Memento (RFC 7089) TimeMap and extract every archived snapshot as flat rows — memento URI, datetime (ISO 8601), rel, original URI, collection, raw link line. Works across the Internet Archive, arquivo.pt and every Memento-compliant web archive. Pay per memento.
You can access the Memento TimeMap Harvester programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "timemapUrls": ["https://web.archive.org/web/timemap/link/https://www.example.com"],10 "maxMementosPerSource": 50,11}12
13# Run the Actor and wait for it to finish14run = client.actor("datamule/memento-timemap-harvester").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")18for item in client.dataset(run.default_dataset_id).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Memento TimeMap Harvester API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: