In the event that both primary and backup servers fail, the Internet Archive’s Wayback Machine may contain the final accessible version of a digital collection. This script provides a systematic framework for interpreting that archived content not simply as a static website, but as a compromised database. Its primary objective is to reconstruct the full structured metadata hierarchy and to retrieve all related media files from the preserved HTML snapshots.
Fig. 1 shows the logical steps the script follows to recover the collection:
Fig. 1: Conceptual Sequence of Archive Data Recovery.
The script executes a two-pronged strategy to ensure maximum data retrieval and media accessibility:
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Granular Metadata Extraction (Dual Strategy): This method guarantees capture of every descriptive field:
- Precision Targeting: Focuses on specific HTML classes (
div.name/div.value) common to professional catalogue platforms (e.g., AtoM). - Robust Fallback: Implements a search for standard HTML definition lists (
<dl>,<dt>,<dd>) for any leftover or custom fields.
- Precision Targeting: Focuses on specific HTML classes (
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URL Negotiation and Media Retrieval: This addresses the technical hurdle of downloading files hosted externally:
- Wayback Prefix Cleansing: The script automatically strips the Wayback Machine's timestamp prefix from media links. This is the crucial step that prevents common HTTP 403 Forbidden errors, allowing the external utility,
yt-dlp, to access the original media resource successfully.
- Wayback Prefix Cleansing: The script automatically strips the Wayback Machine's timestamp prefix from media links. This is the crucial step that prevents common HTTP 403 Forbidden errors, allowing the external utility,
- Python 3.x
- Required Python Libraries:
requests,beautifulsoup4,lxml. - Media Downloader: The external tool
yt-dlpmust be installed and accessible in your system's PATH.
git clone https://github.com/josevelazquez/Wayback-Recovery-Script.git
cd Wayback-Recovery-Script
pip install requests beautifulsoup4 lxmlThe placeholders in the archival_harvester.py script under the --- Configuration Constants --- section must be edited to point to your specific archived catalogue's URLs.
