Extracting less data by Meltano as compared to data in Facebook UI

[MonikaRM]

Hello Team, We are working on extracting data from Facebook API using the tap-facebook extractor. We were able to extract and load the data but when we are comparing the spend with the Facebook data, (we have a python file that is extracting the data directly from Facebook UI using the Facebook API) it's not matching with the data we have in the UI. We are missing lot of data and would love some assistance. If someone has faced or can give suggestions on how to resolve this issue that would be great. Context: Before (up until mid-December) our queries were showing ~10,000 rows loaded per day and now we're down to ~250 rows loaded per day. Going off of the Meltano status, all data should be loaded but we're not seeing that when we query the data. We have used batch sizes: 50, 100, 1000, 3000, 4000, 6000, 8000, 10000 using the variable: max_batch_rows The pipeline is currently the pipeline is running at an hourly basis. Total rows Facebook UI: 5073620 Meltano: 382000 We are using _sdc_batched_at to count the daily number of total rows. Could this be causing an issue since _sdc_batched_at gets updated?