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Scrapling

D4Vinci/Scrapling

An adaptive Web Scraping framework

GraphCanon updated today · GitHub synced today

76k stars7.6k forksLast push today Python BSD-3-Clause

Decision brief

Scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques.

Good fit when

  • When you need a flexible scraping solution capable of handling scalable tasks ranging from individual queries to extensive crawling requirements
  • If stealth and effective selector usage are crucial for navigating modern web defenses, Scrapling provides reliable features to bypass such obstacles

Avoid when

  • Avoid using if your project strictly requires Java or another language besides Python, as Scrapling is exclusively developed in Python
  • Not recommended for projects where minimal resource footprint is critical; due to its comprehensive feature set, it may not be the most lightweight option available

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of today
Provenance
Not a fork · Personal account
As of today
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install Scrapling
PyPI

How it fits your stack(6)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Scrapling handles web scraping tasks ranging from single requests to full-scale crawls.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Aug 25, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Aug 25, 2026

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Aug 25, 2026

MCP server
No MCP server detected

Source: repo_scan · Aug 25, 2026

Languages
python

Source: github.language+pyproject.toml · Aug 25, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 25, 2026)

Scrapling requires Python 3.10 or higher:
Source link

Tags

README

Getting Started

Let's give you a quick glimpse of what Scrapling can do without deep diving.


Installation

Scrapling requires Python 3.10 or higher:

pip install scrapling

[!IMPORTANT] This installation only includes the parser engine and its dependencies, without any fetchers or commandline dependencies. So importing anything from scrapling.fetchers or scrapling.spiders, like in the examples above, will raise ModuleNotFoundError with this installation alone. If you are going to use any of the fetchers or spiders, install the fetchers' dependencies first as shown below.


Docker

You can also install a Docker image with all extras and browsers with the following command from DockerHub:

docker pull pyd4vinci/scrapling

Or download it from the GitHub registry:

docker pull ghcr.io/d4vinci/scrapling:latest

This image is automatically built and pushed using GitHub Actions and the repository's main branch.


License

This work is licensed under the BSD-3-Clause License.

For agents

This page has a .md twin and JSON over the API.

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