Getting 429 error while crawling through Mcf

Copper Contributor

Hi All,

 

We are crawling SharePoint site via Manifold cf connector.

While crawling we are getting 429 error randomly in all environment and not able to crawl properly.

Please help here on this.

1 Reply
429 error indicates that you are exceeding the rate limits set by the SharePoint server. SharePoint imposes certain limitations on the number of requests that can be made within a specific time frame to prevent abuse and ensure fair usage of resources. To address this issue and avoid 429 errors, here are a few suggestions: Review the SharePoint API documentation: Familiarize yourself with the SharePoint API documentation and guidelines to understand the rate limits and any specific recommendations or restrictions they have in place. Implement a delay or backoff mechanism: Modify your crawling process to introduce a delay between requests. This can help ensure that you stay within the allowed rate limits. You can use a retry mechanism with increasing delay intervals (known as exponential backoff) when receiving a 429 error. Optimize your crawling strategy: Assess your crawling strategy to determine if there are any optimizations that can be made. For example, you can prioritize high-value content, reduce unnecessary requests, or implement incremental crawling to only fetch updated or new content. Leverage batching or pagination: Instead of making individual requests for each item, consider using batch requests or pagination techniques. These methods allow you to retrieve multiple items in a single request, reducing the overall number of requests made to the SharePoint server. Throttle your crawler: Implement a throttling mechanism within your crawler to ensure that it adheres to the rate limits set by SharePoint. This can involve monitoring the number of requests made within a specific time period and adjusting the crawl speed accordingly. Monitor and handle exceptions: Continuously monitor the response codes and exceptions returned by the SharePoint server. Implement appropriate error handling and logging mechanisms to track any recurring issues and troubleshoot them effectively.