bisibility — Track Google rankings and Search Console insights. Free during beta.
Try bisibility freeOur product
Favicon of Modal

Modal

PublishedLast updated

Modal is a serverless Python platform that runs scraping, AI, and data workloads at scale with configurable containers and autoscaling.

Screenshot of Modal website

Modal is a serverless Python platform built for AI, data, and compute-intensive workloads at scale.

Key Features:

  • Container Execution - Launch configured containers for responsive, on-demand scraping jobs.
  • Native Browser Support - Run headless Playwright and Chromium browsers directly in serverless functions.
  • GPU Access - Scale from CPU scraping to GPU-powered AI processing without infrastructure changes.
  • Built-In Scheduling - Schedule recurring scraping jobs with cron-like triggers.
  • Python-Native - Define infrastructure as Python code with decorators, no YAML or config files.

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

How to use Modal in a web scraping pipeline

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.

A practical workflow

  1. Package your HTTP client, parser or document-processing dependencies in the selected container image.
  2. Invoke a function with a bounded input batch or references to saved captures, then perform acquisition or transformation inside your own code.
  3. Write accepted results and artifacts to external storage and return a compact run summary to the coordinator.

When it fits

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.

Boundaries

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.

Categories:
Features:
JavaScript RenderingHeadless BrowserSchedulingBatch ProcessingManaged CloudPython SDKGPU Access
Tags:

Share:

bisibility

Growing a website? Track its keywords, Google rankings, Search Console insights, and share of voice with bisibility. Free during beta.

Try bisibility freeOur product

Official client

modal-labs/modal-client

  • Stars

    525
  • Forks

    138
  • Last commit

    2026-10-15
  • License

    Apache-2.0
  • Language

    Python

Metrics recorded 2026-10-16

Repository details

License source: Repository license file

View Repository

Frequently asked questions

Is Modal free to use?

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

How much does Modal cost for GPUs?

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

Similar to Modal

Favicon

 

  
  
Favicon

 

  
  
Favicon

 

  
  

Sources

github.com

Verified against the modal-labs/modal-client repository and the PyPI package.