Google's spam filters ko bypass karnay ka tareeqa?

@Haniya Javed thanks for the insight about cleaning up the data structure. It makes sense to sort out unnecessary fields, but I am still figuring out which fields are truly essential.

In my case, I am pulling data from multiple sources, so there are many fields that seem useful. how do you decide which fields to keep and which to drop? I am worried about losing important information.
 
@Haniya Javed Cleaning up data structures is crucial, but focusing only on unnecessary fields might not be enough. Sometimes, it is about how you structure the data itself rather than just trimming it down.

In my experience, I found that using consistent data types across fields can make a huge difference in API responses. For example, if you are fetching dates, ensure they are in a standard format like ISO 8601.

This reduces the chances of mismatches and errors, which can trigger filters. Additionally, caching frequent calls can improve performance and reduce the load on your API.

i used a simple caching mechanism for the static data and it helped in minimizing the number of times the API needed to pull information. This way, you reduce the chances of hitting spam filters as well. You might want to consider that approach too.
 
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