requests-html vs Scrapy

Side-by-side — pricing, strengths, tradeoffs, and fit.

requests-html

Pythonic HTML Parsing for Humans.

Scrapy

A fast high-level screen scraping and web crawling framework.

At a glance

Open SourceFree Tier
◌ Declining·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

Pythonic HTML Parsing for Humans.

One-liner

A fast high-level screen scraping and web crawling framework.

Maturity

Declining

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Developers who need to scrape and parse web pages with JavaScript-rendered content
Projects requiring a simple yet powerful HTTP client for interacting with websites

✓ Best for

Developers needing a robust framework for large-scale web scraping projects
Data scientists looking to automate data collection from multiple websites
Teams requiring efficient and scalable solutions for crawling complex sites

Not ideal for

✕ Not for

Scenarios where extremely high performance is required, as it relies on Pyppeteer for rendering
Use cases that require deep integration with non-Python environments or languages

✕ Not for

Projects that require real-time streaming of scraped data (Scrapy is batch-oriented)
Users who prefer a GUI-based tool over command-line interfaces

Strengths

↑ Strengths

Simplified HTTP requests and HTML parsing
JavaScript rendering through Pyppeteer
Easy-to-use API for web scraping

↑ Strengths

High-performance crawling and scraping capabilities
Built-in support for handling cookies, sessions, and user agents
Flexible item pipeline for processing scraped data
Supports AJAX content via Splash integration

Weaknesses

↓ Weaknesses

Limited performance for large-scale web scraping
Dependency on Pyppeteer can lead to instability
Limited support for non-Python environments
Documentation lacks depth and examples for complex scenarios

↓ Weaknesses

Frequent breaking changes between versions
Limited out-of-the-box support for complex scraping scenarios
Performance bottlenecks with very large datasets
Full requests-html profile →Full Scrapy profile →