Repository intelligence

apify/crawlee-python

An open-source, asyncio-based web scraping and crawling library for Python designed to build reliable, high-performance scrapers that bypass bot detection.

CLOUDM0N decision

REVIEW BEFORE ADOPTION

Trust REVIEW · 90/100

Good fit if

Python developers who need to build scrapers that bypass bot protections out of the box

Watch out for

The high-performance BeautifulSoupCrawler lacks the capability to execute client-side JavaScript, requiring the use of the resource-heavy PlaywrightCrawler for dynamic pages

Practical intelligence

What matters before you adopt it

Decision first · detail on demand

Problem it solves

The complexity of managing bot blocks, parallel execution, proxy rotation, state persistence, and switching between HTTP parsing and headless browsers when building web scrapers.

Best for

Python developers who need to build scrapers that bypass bot protections out of the box

Teams requiring a modular scraping framework that can seamlessly switch between fast HTTP fetching and full browser automation

Developers seeking to integrate scraping pipelines directly into existing Python applications without relying on standalone execution daemons

Main trade-offs

The high-performance BeautifulSoupCrawler lacks the capability to execute client-side JavaScript, requiring the use of the resource-heavy PlaywrightCrawler for dynamic pages

Core package size is minimized by distributing key crawling modules (like BeautifulSoup or Playwright) as optional PyPI extras that must be manually requested

Why it stands out

Automatically scales crawl parallelism based on available system CPU and memory resources

Enforces full Python type-hint coverage for robust static type checking and IDE autocompletion

Includes automated error handling, automatic retries, integrated proxy rotation, and session management

Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings

CLOUDM0N scanner findings

Critical

High

Medium

Low

View trust evidence & security findings▼

Why this score

No trust rationale was stored for this scan.

CLOUDM0N findings

MEDIUM

The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.

Architecture from code6 modules · 0 edges▼

Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files

931

Modules

Dependency edges

Core modules

scripts

2 files

src/crawlee

206 files

website

389 files

Dependency flow

No dependency edges were extracted.

Detected languages

Python · JavaScript · Shell · TypeScript

Detected frameworks

Pydantic

Architecture evidence details

flowchart TD
    %% crawlee — high-level architecture (DRAFT, refine me)
    n0["docs · documentation · 226 files"]
    n1["scripts · scripts · 2 files"]
    n2["src/crawlee · 206 files"]
    n3["tests · tests · 108 files"]
    n4["website · 389 files"]
    class n0 docs
    class n1 infra
    class n3 test
    classDef docs fill:#9d7660,color:#ffffff,stroke:#7c5d4c
    classDef infra fill:#b35c00,color:#ffffff,stroke:#8f4a00
    classDef test fill:#499894,color:#ffffff,stroke:#397975

Evidence, security & integrations▼

Integrations

PlaywrightBeautifulSoupImpitHttpClientuvAsyncioApify Platform

Security notes

• By default, crawler setups use human-like configurations to safely bypass bot protections

Still unknown

• The README does not provide system performance figures, memory limits, or recommended RAM requirements for running multiple parallel Playwright instances

• No information is provided on supported proxy providers or details regarding the default proxy configuration schema

Adoption guidance▼

Adopt if

+ You need to build Python-based scrapers that bypass anti-bot mechanisms with minimal custom engineering

+ You want an asynchronous scraping library that seamlessly transitions between raw HTTP requests and full headless browser sessions

+ You need to embed scraping processes directly inside wider Python application architectures

Avoid if

– Your project is strictly written in languages other than Python (though a separate TypeScript implementation exists under a different repository)

– You prefer a monolith framework with zero modular extra installation steps

How it works & getting started▼

How it works

1.The developer installs the crawlee package with required extras (such as beautifulsoup or playwright)

2.A crawler class (BeautifulSoupCrawler or PlaywrightCrawler) is defined with target endpoints and data extraction logic

3.Crawlee automatically crawls links, schedules requests in a persistent URL queue, and manages parallel execution

4.The crawler handles retries, rotating proxies, and human-like interaction configurations in the background

5.Scraped results are persistently saved to structured, localized formats in a generated storage directory

Getting started

→ To install all features and dependencies, run: pip install 'crawlee[all]' playwright && playwright install

→ To create a new project via CLI templates, ensure uv is installed and run: uvx crawlee create my-crawler

→ If Crawlee is already installed, generate a project with: crawlee create my-crawler

Agent handoff

Use with any agent

JSON API

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