
Modal is a serverless Python platform built for AI, data, and compute-intensive workloads at scale.
Key Features:
Whether you're running browser-based scrapers, processing extracted data with AI, or building batch pipelines, Modal provides serverless scale with a developer experience that feels local.
Web scraping workflow
Modal executes application code in configured cloud containers. It can run a scraping pipeline's Python collection or document-processing stage while keeping its execution environment explicit in code.
Consider it when a Python pipeline needs an execution environment for on-demand processing rather than a permanently running application server. Treat acquisition, document conversion and enrichment as separate functions when their dependencies differ.
Modal is an execution platform, not a universal scraper. A browser workload still needs the required binaries and configuration. Set concurrency, timeouts and resource limits, keep credentials in the supported secret mechanism and make repeated calls safe; automatic container scaling does not implement per-domain collection limits.
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Our productOfficial client
modal-labs/modal-client
Stars
525Forks
138Last commit
2026-10-15License
Apache-2.0Language
PythonMetrics recorded 2026-10-16
License source: Repository license file
Modal’s Starter plan includes a limited monthly compute credit with no base subscription charge. Compute beyond the included usage is billed, and other plans have their own fees and allowances. The credit is not unlimited CPU or GPU execution.
Sources (checked ): Modal pricing
Modal bills GPU compute by the selected hardware and time used. CPU, memory and other resources can contribute to the bill, and eligible plan credits offset only their documented usage. Use the current hardware rates and the expected execution time to estimate a job.
Sources (checked ): Modal pricing
Verified against the modal-labs/modal-client repository and the PyPI package.
Infrastructure · API / SaaS
Infrastructure · API / SaaS