![Websites Archiver (Wayback Machine) avatar](https://images.apifyusercontent.com/Z3RkANItCNGH6M_aLohnUVx91n5rMNQvGTsybX_og0Q/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vVFpabjY0RWZsQXY3WktpN1AvQzZqZk9MbFduNGpMbmh0bEktYXJjaGl2ZXMucG5n.webp)
Websites Archiver (Wayback Machine)
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View all Actors![Websites Archiver (Wayback Machine)](https://images.apifyusercontent.com/Z3RkANItCNGH6M_aLohnUVx91n5rMNQvGTsybX_og0Q/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vVFpabjY0RWZsQXY3WktpN1AvQzZqZk9MbFduNGpMbmh0bEktYXJjaGl2ZXMucG5n.webp)
![Websites Archiver (Wayback Machine)](https://images.apifyusercontent.com/Z3RkANItCNGH6M_aLohnUVx91n5rMNQvGTsybX_og0Q/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vVFpabjY0RWZsQXY3WktpN1AvQzZqZk9MbFduNGpMbmh0bEktYXJjaGl2ZXMucG5n.webp)
Websites Archiver (Wayback Machine)
web.harvester/websites-archiver
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1 day trial then $15.00/month - No credit card required now
Effortlessly archive any website with our Automated Website Archiving Tool. It leverages the power of the Wayback Machine at web.archive.org to ensure your sites are preserved for future reference.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "startUrls": [{ "url": "https://crawlee.dev" }] }
8
9# Run the Actor and wait for it to finish
10run = client.actor("web.harvester/websites-archiver").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15 print(item)
16
17# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 7 monthly users
- 2 stars
- 96.8% runs succeeded
- Created in Jun 2024
- Modified about 1 month ago
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