anhaltai-gbif-downloader 2025.8.dev16123

This project automatically downloads taxon-specific images from the GBIF API (https://techdocs.gbif.org/en/openapi/), processes them, and stores both images and metadata in a taxonomically organized structure in a MinIO (https://www.min.io/) bucket.

🌳 GBIF Image Downloader

This project automatically downloads taxon-specific images from the GBIF API, processes them, and stores both images and metadata in a taxonomically organized structure in a MinIO bucket.

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Features

• Loads Latin taxon names from .csv or .xlsx files
• Resolves taxonKeys automatically via the GBIF API
• Downloads associated media (images) from GBIF
• Stores metadata and images in a taxonomic folder structure in MinIO
• Optionally processes only new GBIF occurrences (crawl_new_entries)
• Multithreading for parallel processing and uploads
• Logging directly to MinIO

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Usage

Installation

Install dependencies via:

pip install -r requirements.txt

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1. Prepare your input file

Create a .csv or .xlsx file with at least the following column:

latin_name
Quercus robur
Fagus sylvatica

2. Adjust your configuration

Edit the file config/config.yaml to set your MinIO connection, output paths, and processing options.
A typical configuration looks like this:

minio:
  bucket: meinewaldki-gbif         # Name of your MinIO bucket
  endpoint: s3.anhalt.ai           # MinIO/S3 endpoint URL
  secure: true                     # Use HTTPS (true/false)
  cert_check: true                 # Check SSL certificates (true/false)

paths:
  output: gbif-test/               # Output directory for images and metadata
  tree_list_input_path: data/tree_list.xlsx   # Path to your input taxon list
  processed_tree_list_path: data/species_key.csv # Path for the processed taxonKey list
  log_dir: logs/                   # Directory for log files

query_params:
  mediaType: StillImage            # Only download images
  limit: 100                       # Number of records per API call
  offset: 0                        # Start offset

options:
  already_preprocessed: True       # Set False to process the taxon list again
  crawl_new_entries: False         # Only process new occurrences if True
  max_threads: 10                  # Number of parallel threads for downloads/uploads

Query Parameters for GBIF API URL

The parameters used to build the GBIF API request URL are defined in the query_params section of your config/config.yaml. These parameters control which records are fetched from the GBIF API.

Supported parameters:

• mediaType (e.g. StillImage): Only download records with images.
• taxonKey: The taxon key.
• datasetKey: Filter by dataset.
• country: Filter by country code (e.g. DE for Germany).
• hasCoordinate: Only records with coordinates (true or false).
• year, month: Filter by year or month of occurrence.
• basisOfRecord: Type of record (e.g. HUMAN_OBSERVATION).
• recordedBy: Filter by collector/observer.
• institutionCode, collectionCode: Filter by institution or collection.
• limit: Number of records per API call (pagination, max. 300).
• offset: Start offset for pagination.

How it works:

• All parameters in query_params are automatically validated at startup.
• Only the above parameters are allowed. Invalid parameters will cause the program to stop with an error.

3. Process taxonKey list and resolve taxonKeys

from anhaltai.gbif_downloader.tree_list_processor import TreeListProcessor

processor = TreeListProcessor(input_path="data/tree_list.xlsx",
                              sheet_name="Gehölzarten", taxon="speciesKey")
processor.process_tree_list(output_path="data/species_key.csv")

4. Download media and metadata from GBIF

Run the main program:

PYTHONPATH=src python3 src/gbif_extractor/main.py

Note:

• MinIO credentials must be set in .env see .env-example for the required format.
• Log files are automatically uploaded to MinIO.
• Parallel processing and uploads are controlled by a configurable thread limit.
• Semaphores are used in this project to control the number of concurrent threads during uploads to MinIO.
• The program will skip old entries if crawl_new_entries is set to True.