same as my problem, I want to get estimated best efforts from API 

​@aliif I found a workaround, but it involves getting the detailed activity for each activity. It’s a bit of a pain considering the strict rate limits, so I recommend caching them. 

def process_best_efforts(activity_id: int, best_efforts_list: list) -> pd.DataFrame:
        best_efforts_data = []  

        best_efforts = json.dumps(best_efforts_list)

        best_efforts_data.append([activity_id, best_efforts])

        best_efforts = [
            {
                "id": effort["activity"]["id"],
                "date": effort["start_date_local"][:10],  # Extract YYYY-MM-DD
                "name": effort["name"],
                "distance": effort["distance"],
                "time": effort["moving_time"],
                "pr_rank": (
                    effort["pr_rank"] if effort["pr_rank"] is not None else 0
                ),  # Convert None to 0
            }
            for effort in best_efforts_list
        ]

best_efforts_df = pd.DataFrame(best_efforts)

return best_efforts_df

best_efforts_data = detailed_activity.get("best_efforts", [])
 best_efforts_df = process_best_efforts(activity_id, best_efforts_data)
        

Apearly, the best efforts are only showed in run activities.

But i dont know when it will be available for all sports. Or at leats, main sports like cycling, swiming...

This sounds like trying to re-create one of the subscription features, that's generally frowned upon...

But we can pay for this information? I would like to have an api subscription and get that info but i think is not posible. ¿Itsn’t it?