What the data for this category looks like
Data for medical aesthetics financing daily reports comes from vertical credit platforms for the medical aesthetics industry, financing filing interfaces for medical aesthetics institutions from local financial regulators, and public channel announcements for financing in the medical aesthetics track. Incremental data is pushed within 1 hour after market close on each workday. Documents use JSON format. Each data entry includes fields such as full institution name, medical aesthetics main business project classification, financing amount (unit: RMB yuan), financing round, official disclosure date, and name of connected investors. All core fields are required, with no nested levels.
What constraints these characteristics impose on HTTP interfaces and external systems
Because data is pushed incrementally on workdays and all core fields are required with no nested levels, the HTTP interface must support incremental pull mode using start_date and end_date parameters. This avoids excessive bandwidth usage from full data pulls. The financing amount field must be strictly verified as a numeric type, so external systems must configure strong-type parsing rules to reject non-numeric field values. The requirement for multi-source data access means the interface must support multiple endpoint configurations, and a unique identifier field must be added for cross-source data deduplication. Scheduled pull tasks must adapt to the post-market-close update window on workdays, to avoid sending requests before data synchronization completes which results in empty results.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
API_REQUEST_TIMEOUT | 600 seconds | Medical aesthetics industry data source interfaces may have bulk pull delays; 600 seconds covers most normal response durations |
INCREMENTAL_SYNC_ENABLE | Enabled | Data is updated incrementally daily; enabling this pulls only new data within the specified time range, reducing bandwidth consumption |
FIELD_VALIDATION_STRICTNESS | Strict mode | All core fields are required and have fixed formats; strict validation filters invalid data |
MULTI_SOURCE_SYNC_CONFIG | Calibrated based on actual testing | Interface addresses and authentication methods vary across medical aesthetics industry data sources; adjust based on actual accessed platforms |
SCHEDULED_TASK_CRON | 0 18 * * 1-5 (Beijing Time) | Most medical aesthetics industry data sources complete updates after 17:00 on workdays; pulling at 18:00 ensures complete daily data is obtained |
DATA_DEDUPLICATION_KEY | Disclosure date + Full institution name | This combination uniquely identifies a single medical aesthetics financing record, preventing cross-source duplicate data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The interface returns a
504 Gateway Timeouterror, and logs show the request was not completed. Cause:API_REQUEST_TIMEOUTwas not adjusted to match the medical aesthetics data source requirements. The default timeout duration is too short, causing the request to be interrupted. - Symptom: Duplicate medical aesthetics institution financing records appear in pulled data. Cause:
DATA_DEDUPLICATION_KEYwas not configured, or the configured deduplication key cannot uniquely identify a single record, leading to cross-source duplicate data. - Symptom: Empty result sets are returned after scheduled pulls. Cause: The update window of medical aesthetics data sources was not adapted. The scheduled task sends requests before data synchronization completes, resulting in no daily incremental data being obtained.
How to confirm configurations are set correctly
- Initiate a single incremental pull request, check that the returned JSON fields include the configured required items and match expected formats.
- View the scheduled task's execution logs, confirm the task triggers normally and completes pulls within the specified workday window.
- Compare financing records stored in the external system with public disclosure information from the data source interface, confirm no duplicate data exists.
- Send a request with a non-numeric format financing amount, check that the interface returns a validation failure prompt.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.