When maintaining and updating your database of places, it’s crucial to select the right identifier to ensure data accuracy and reliability. There are two primary identifiers associated with places: business_id and place_id. Based on our experience, relying on the place_id offers greater reliability, as business_id appears to change over time in certain scenarios. Below, we’ll explore the differences between these identifiers and provide practical use cases.
place_idplace_id is a stable, unique identifier that is consistently associated with a specific place. It rarely changes and is ideal for maintaining long-term database integrity.
business_idbusiness_id may change over time due to updates, reorganizations, or other internal factors within the data source. While it is still a useful identifier, its potential for inconsistency makes it less reliable for long-term use.
place_id?business_id, which can be subject to changes, place_id remains constant even if a business undergoes updates or revisions in the data source.place_id ensures that your database remains accurate even as external data sources evolve.place_id to match and update the correct entry in your database, ensuring no records are overwritten or duplicated.
place_id to confirm whether the place still exists or has changed its status, and update your records accordingly.
place_id to fetch the latest data for an existing entry and enrich your database without introducing errors.
place_id to fetch updated details for each entry and maintain consistency.
business_id values for the same place.place_id to identify and merge duplicate records.
Always prioritize place_id when building or updating your database. It ensures consistency and reduces the likelihood of errors caused by changing identifiers.
If using business_id, consider implementing periodic checks to handle potential changes or discrepancies.
Implement robust error handling to address cases where identifiers may be missing or inconsistent in the source data.
By relying on place_id and following these best practices, you can build a robust and reliable database that remains accurate over time.