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
Integration Overview
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.
Integration Availability
This integration is available for:
Enterprise
API Endpoints
The Daasity Algolia extractor is built based on this Algolia API Documentation. The following endpoint is used by Daasity to replicate data from Algolia:
Entity Relationship Diagram (ERD)
Click here to view the ERD for the Daasity Algolia integration illustrating the different tables and keys to join across tables.
Algolia Schema
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.
Searches
Endpoint: Top Searches
Update Method: UPSERT
Table Name: [
algolia.searches]
| JSON Element | Database Column |
|---|---|
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 |
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