I’m working on a Texas Roadhouse menu website that integrates Pipedrive for managing structured menu data, partner submissions, and location-based content. The idea is to centralize all menu items, categories, and metadata inside Pipedrive so I can push updates to the site automatically. However, I’ve been running into persistent issues with syncing item updates from Pipedrive to the frontend. Sometimes the API returns outdated fields even though the data was recently updated inside Pipedrive. It feels like certain endpoints still serve cached versions, and I haven’t found a clear pattern.
Another challenge is how Pipedrive handles custom fields when I’m trying to map them to dynamic menu attributes like calorie ranges, spice levels, or tags like “signature,” “seasonal,” or “kids favorite.” Some requests return the expected customField values, but others return null or completely skip certain fields. I’ve already double-checked permissions and field visibility settings, but the inconsistency continues. This causes parts of the site to render incomplete menu details.
I’m also using automated workflows inside Pipedrive to trigger menu updates when new dishes or promotional items get added. The workflow triggers fire correctly inside Pipedrive, but the webhook I rely on often delays or batches multiple changes together. For a menu site where pricing or availability can change frequently, these delays can lead to outdated menu items being displayed for hours. I’m not sure whether this is a rate-limiting issue or a webhook reliability issue.
Another layer of complexity comes from generating personalized recommendations on the website. My system relies on attributes stored inside Pipedrive (like flavor profile, meat type, category, dietary suitability, etc.), but when the API doesn’t deliver all fields reliably, the recommendation engine breaks or shows mismatched items. I tried adding a fallback caching layer, but that actually made synchronization problems worse because stale data gets mixed with fresh entries.
I’ve also noticed performance degradation when pulling full menu lists from Pipedrive. Even though I’m paginating properly, response times sometimes jump from ~300ms to >2 seconds without any noticeable load increase. I’m unsure whether this is a scaling issue on Pipedrive’s end or if I’m structuring my API calls inefficiently. I’m open to redesigning the data flow if there’s a recommended best-practice pattern for larger catalogs.
Overall, I’m trying to figure out a stable architecture for using Pipedrive as the single source of truth for the Texas Roadhouse menu. If anyone has experience syncing large structured datasets, dealing with unreliable customField responses, or improving webhook consistency, I would really appreciate guidance. Even recommendations on whether I should add an intermediate database layer before serving content would be helpful. Sorry for long post!