Hey there! Let's walk through the most common issues that pop up when fetching stock symbols from your own API, then making multiple requests to Finnhub and storing the results. Since you didn't share your code or specific error details, I'll cover the top pitfalls folks run into:

• Rate Limiting Tripped You Up
  Finnhub enforces rate limits (the free tier is usually 60 requests per minute). If your own API spits out dozens or hundreds of symbols and you fire off requests all at once, you'll almost certainly hit a 429 "Too Many Requests" error.

  • How to check: Look at the HTTP status codes from Finnhub responses—429 is the dead giveaway.
  • Fixes: Add delays between requests (e.g., time.sleep(1) in Python), or use Finnhub's batch endpoint to fetch data for multiple symbols in one call.

• Incorrect Stock Symbol Format
  Finnhub often requires symbols to include exchange suffixes (like AAPL:US for NASDAQ, BABA:HK for Hong Kong). If your API returns bare symbols without these, Finnhub might return empty data or a "symbol not found" error.

  • How to check: Grab one symbol from your API and test it directly in Finnhub's API explorer.
  • Fixes: Append the correct exchange suffix to each symbol, or use Finnhub's symbol search endpoint to validate and format symbols automatically.

• Uncontrolled Async Concurrency
  If you're using async tools (like aiohttp) to speed up requests, not limiting the number of concurrent calls can overwhelm Finnhub's servers (or your own network), leading to timeouts or failed requests.

  • How to check: Look for timeout errors or incomplete data sets in your storage.
  • Fixes: Use a semaphore to cap concurrent requests (e.g., limit to 5-10 at a time) to stay within reasonable limits.

• Race Conditions in Data Storage
  If multiple requests are writing to the same database or file simultaneously, you might get missing data, overwritten entries, or corrupted records.

  • How to check: Audit your stored data for gaps, duplicates, or malformed entries.
  • Fixes: Use locks (file locks, database transactions) to serialize writes, or collect all results in memory first before doing a single bulk write.

• Missing Error Handling
  Network blips, Finnhub server errors (5xx status codes), or invalid symbols can break your workflow if you don't catch and handle them. You might end up losing data or crashing the entire process.

  • How to check: Look for uncaught exceptions in your logs, or symbols that have no corresponding data in your storage.
  • Fixes: Add retry logic for failed requests (use libraries like tenacity), catch HTTP error codes, and log failed symbols so you can reprocess them later.

• Authentication Mistakes
  Double-check that your Finnhub API key is correctly included in request headers (it's easy to mistype or forget!). Also, ensure your own API's authentication tokens are still valid—expired credentials would block you from even getting the stock symbols in the first place.

  • How to check: Test a single Finnhub request with your key in the API explorer, and verify your own API returns symbols as expected.
  • Fixes: Update expired credentials, and confirm your key is properly embedded in each request.

If you can share snippets of your code (especially the request loop and storage logic) or specific error messages/logs, we can narrow this down even further!

内容的提问来源于stack exchange，提问作者ronan23