Python Script for ATR Horse Sectional Data Extraction (CSV)

I’m looking for a reliable developer to build a script that extracts ATR sectional race data using only a list of horse names and outputs a clean, structured CSV file.
The script should read horse names from a CSV file (one horse per row) and automatically locate the correct horse profiles on ATR, identify races with sectional data, and extract all relevant information per race.
For each qualifying race, the script must return: race date, course, off time, horse name, sectional splits, and total race time. Each race should be written as a separate row in the output file.
A key requirement is handling the sectional data correctly. ATR displays sectionals in running order (start → finish), but the script must reverse-map them so the final split appears first (f1_finish), followed by preceding splits (f2_f1, f3_f2, etc.). Any unused fields should remain blank.
The total race time must also be converted into decimal seconds (e.g. 2m 42.15s → 162.15).
The script should intelligently:
work using only horse names (no race date/time input)
handle multiple races per horse
avoid duplicate rows
skip races without sectional data
log missing horses or extraction failures separately
The final output must strictly follow a predefined CSV structure with consistent formatting and validated data.
Clean, maintainable code is important. Python is preferred (requests/BeautifulSoup or Selenium if required).