Introduction
Building a document corpus — regulatory filings, public reports, research papers —
usually starts with the tedious question "how do I get all these PDFs onto disk
reliably?" FetchPDFFromURL handles the download in one call: it requests the file,
checks that the response actually succeeded, and writes the binary content to disk,
so a failed download doesn't silently produce a corrupt or empty file. Reach for it
when automating collection of public documents at scale, rather than writing
one-off requests calls with no error handling.
Teaching Note
Common use cases include:
- Automating the collection of public reports or documents from government websites
- Building document corpora for research or analysis
- Batch downloading of PDFs for archival purposes
- Creating local caches of remote PDF resources
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
urlrequired | | — | The URL of the PDF file to download. Must be a valid HTTP/HTTPS URL pointing to a PDF resource. |
filenamerequired | | — | The name (or path) of the file to save the downloaded PDF to. Should include the '.pdf' extension. Can be a relative filename (saves to current directory) or an absolute path. |
Example
python
from analysistoolbox.data_collection import FetchPDFFromURL
# Download a PDF from a URL and save it locally
FetchPDFFromURL(
url='https://example.com/document.pdf',
filename='downloaded_document.pdf'
)