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Building Efficient Web Scrapers

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Pipeline turns millions of raw fetches into structured data on a single machine by splitting responsibilities: Rust handles high‑throughput fetching with Tokio and Reqwest using all cores and streaming results into Redis as the queue, while Python workers run under multiprocessing to parse in parallel and emit Polars dataframes. Large binary blobs like Zarr use a claim‑check to spill to fast temp storage and pass pointers, preventing RAM exhaustion and keeping throughput steady.

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