Firestore Data Importer — Drobnikj Firestore Import
Imports result set items to Firestone DB.
1 credits per request
~30s
3 runs
Features
JSON/CSV Export
API Access
Scalable Automation
Use Cases
Web Automation
Data Processing
What This Tool Does
Firestore Import — Imports result set items to Firestone DB.
Use Cases
- Web Automation
- Data Processing
Data Fields
Output structure depends on the operation performed. Common fields include:
| Field | Type | Description |
|---|---|---|
| status | string | Operation status (success / error) |
| count | number | Number of records processed |
| result | array | Processed or transformed records |
| summary | object | Processing statistics and metadata |
Example Request
{
"apiKey": "example",
"datasetId": "12345",
"projectId": "12345",
"authDomain": "example",
"collectionName": "example"
}
Example Response
{
"status": "success",
"count": 42,
"result": [
{ "id": "item-001", "value": "processed data" }
],
"summary": { "processed": 42, "skipped": 0, "errors": 0 }
}
Limits and Tips
- Processing time scales with result set size. Large result sets (10,000+ rows) may take several minutes.
- Results are returned as a JSON array. An empty array indicates no records matched the criteria.
- Check the input schema for required parameters (e.g., result set IDs, field names) before running.
- For large result sets, consider processing in smaller batches to avoid timeouts.
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