Integration Specifications
This article will help you learn about how Daasity replicates data from Algolia, limitations to the data we can extract and where the data is stored in the Algolia schema
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This article will help you learn about how Daasity replicates data from Algolia, limitations to the data we can extract and where the data is stored in the Algolia schema
Last updated
Was this helpful?
Algolia helps businesses across industries quickly create relevant, scalable, and lightning-fast Search and Discovery experiences.
The Daasity Algolia integration returns data related to the performance of Site Search which allows merchants to understand what are the most important and trending terms that customers querying on the merchant site. This information is important because customers typically search for what is not easily found upon their visit. Algolia users may reveal product and merchandising opportunities that will lead to increased revenue.
This integration is available for:
Enterprise
The Daasity Algolia extractor is built based on this . The following endpoint is used by Daasity to replicate data from Algolia:
illustrating the different tables and keys to join across tables.
The Daasity Algolia extractor creates these tables using the endpoints and replication methods listed. The data is mapped from source API endpoint to the table based on the mapping logic outlined in each table.
Update Method: UPSERT
Table Name: [algolia.searches]
MD5(search + ':' + event_at)
search_id
search
search_term
startDate
event_at
count
searches
nbHits
hits
clickCount
clicks
conversionCount
conversions
averageClickPosition
average_click_position
Daasity: MD5(search + event_at)
__sync_key
Daasity: account_id
_account_id
Daasity: timestamp when loaded into DB
__synced_at
Endpoint: