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Python SDK: Introducing the add_folder() Function for Batch Profile Parsing

We are pleased to announce a new function in our Python SDK designed to parse large batches of profiles efficiently.

๐Ÿ˜ย Why itโ€™s a big deal for HrFlow.ai users?

  • Efficiently parse large local folders of resumes.
  • Manage retries and handle failures with the argument move_failure_to
  • Control parsing progress and optimize rate limits with the argument show_profress

๐Ÿ”ง How does it work?

  1. Install the HrFlow.ai Python SDK using the commandย pip install -U hrflowย orย conda install hrflow -c conda-forge.
  2. Log in to the HrFlow.ai Portal at hrflow.ai/signin.
  3. Obtain your API key from developers.hrflow.ai/docs/api-authentication.
  4. Ensure the Profile Parsing API is enabled in your account
  5. Create a Source as described at developers.hrflow.ai/docs/connectors-source.
  6. Use the add_folder() function from our Python SDK, providing the necessary arguments.
Python SDK: Introducing the add_folder() Function for Batch Profile Parsing

Python SDK: Introducing the add_folder() Function for Batch Profile Parsing


๐Ÿ’กย Useful Links