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OCHA-DAP/hdx-scraper-ifrc

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Collector for IFRC's Datasets

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This script connects to the IFRC Go API and extracts data from 2 endpoints creating 2 global datasets and 2 datasets per country in HDX. It makes 1 read to InterAction and 100 read/writes (API calls) to HDX in a half hour period. It creates around 200 temporary files each a few Kb which it uploads into HDX. It is run every week.

Usage

python run.py

For the script to run, you will need to have a file called .hdx_configuration.yml in your home directory containing your HDX key eg.

hdx_key: "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
hdx_read_only: false
hdx_site: prod

You will also need to supply the universal .useragents.yml file in your home directory as specified in the parameter user_agent_config_yaml passed to facade in run.py. The collector reads the key hdx-scraper-ifrc as specified in the parameter user_agent_lookup.

Alternatively, you can set up environment variables: USER_AGENT, HDX_KEY, HDX_SITE, TEMP_DIR, LOG_FILE_ONLY

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