HTTP Interfaces and External Systems for Iron Ore Marketing Content

Data related to iron ore marketing primarily comes from public market APIs of bulk commodity spot trading platforms, customs import statistics APIs

What the Data for This Category Looks Like

Data related to iron ore marketing primarily comes from public market APIs of bulk commodity spot trading platforms, customs import statistics APIs, and port loading and unloading scheduling data APIs. Update cadence varies by data type: spot quotes push incremental data every 15 to 30 minutes. Port inventory data updates daily at scheduled times. Steel mill procurement tender information updates 2 to 3 times per week. API responses use structured JSON format, containing basic category identifiers, core parameters, and timestamp fields. Core fields include symbol (product code), grade (grade, e.g. 62% Fe), origin (origin), price (unit: yuan per dry metric ton), update_time (ISO 8601 formatted timestamp), and port (delivery port name). Some APIs include additional derivative data such as inventory quantity and handling volume.

Constraints for HTTP Interfaces and External Systems

The multi-dimensional segmentation attributes of iron ore data require HTTP interfaces to support filtering by parameters such as grade and origin. Without this filtering, returned datasets will be overly large and cannot be used directly for marketing content generation. Differences in update frequencies across data types require external systems to use differentiated pull cycles. This avoids excessive API calls that waste resources, or delays in accessing the latest market data. Standardized unit requirements mandate that API calls uniformly convert units from external interfaces. This prevents unit confusion in marketing materials. Differences in field naming across multiple source APIs require the system to configure mapping rules. These rules unify fields from different APIs to internal standard fields, ensuring consistency in marketing content generation. Additionally, iron ore data has high real-time requirements. API calls must control timeout periods, and adapt retry strategies for temporary fluctuations. This ensures stable data pulling.

Configuration Settings

Configuration ItemRecommended ValueRationale
api_request_interval15 minutes (spot market data), 1440 minutes (port inventory data)Matches the actual update frequency of the corresponding category data, balancing data timeliness and API call costs
api_filter_params{"grade": ["62% Fe", "65% Fe"], "origin": ["Australia", "Brazil"]}Focuses on the most common mainstream grades and core origins in iron ore marketing, narrowing the returned data scope
response_parse_field_map{"spot_price": "price", "update_at": "update_time"}Unifies field naming differences across external APIs, ensuring consistency in internal data processing
webhook_payload_template{"product": "{{symbol}}", "grade": "{{grade}}", "price": "{{price}}", "update_time": "{{update_time}}"}Standardizes the output format of marketing content, adapting to subsequent promotional material generation needs
api_timeout30 secondsAllows sufficient response time to pull multiple sets of iron ore market data, preventing pull failures due to timeouts
retry_max_times3 timesAddresses temporary fluctuations in external APIs. A small number of retries improves the success rate of data pulling

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to run tests on local samples before finalizing settings.

Three Common Misconfigurations

  • Issue: After starting the container, calling the external API returns 400 Bad Request, and the log shows invalid api base url. Cause: The full parameter for ONE_API_BASE_URL was not filled correctly. The API path suffix or port configuration was omitted.
  • Issue: Multi-row table data pushed via webhook only returns the first row. Subsequent rows are missing. Cause: No batch parsing rules for structured tables were configured. Only single-row data was extracted by default.
  • Issue: Calling the external API fails during local debugging, returning 403 Forbidden. Cause: The target external API domain name was not added to the ALLOWED_EXTERNAL_DOMAINS configuration item. The request was blocked by the system.

How to Confirm Proper Configuration

  • Initiate a single manual API call. Verify that the returned JSON data includes preset core fields such as grade and price, and that field units match expected values.
  • Review logs for scheduled pull tasks. Confirm that new data is successfully pulled within the data update cycle, with no consecutive timeouts or error records.
  • Trigger a webhook push. Confirm that the receiving end correctly parses the structured marketing content data, with no missing fields or format errors.
  • Adjust the api_request_interval configuration value. Confirm that the system executes pull operations at the new interval, with no abnormal trigger frequency.

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.