Problem Statement
Outline a robust pipeline to fetch paginated API data and build a DataFrame.
Explanation
Use a Session with timeouts and a retry adapter. Fetch pages in a loop until no next link remains. Validate status codes and parse JSON safely. Accumulate records into a list of dicts or write pages to disk to cap memory.
Finally, build a DataFrame from the collected rows and normalize nested fields with json_normalize. Persist as Parquet with a stable schema for fast reads later.
Code Solution
SolutionRead Only
rows=[]; url=BASE
while url:
r=s.get(url, timeout=10)
data=r.json(); rows+=data['items']
url=data.get('next')
df=pd.DataFrame(rows)Practice Sets
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