The Problem
Every time I start a new scraping project, I waste an hour searching for the right tool. There are hundreds of libraries, frameworks, and services — and half of them are abandoned.
So I built a curated list: 130+ web scraping tools, organized by language, purpose, and actively maintained as of 2026.
awesome-web-scraping-2026 on GitHub (9 stars, growing)
Here's a preview of the best tools in each category.
Python (The King of Scraping)
| Tool | Best For | Stars |
|---|---|---|
| Scrapy | Large-scale crawling | 53K+ |
| BeautifulSoup | Quick HTML parsing | 28K+ |
| Playwright | JavaScript-heavy sites | 68K+ |
| httpx | Async HTTP requests | 13K+ |
| Selectolax | Fast HTML parsing (Cython) | 1K+ |
| curl_cffi | TLS fingerprint matching | 3K+ |
My Go-To Stack for 90% of Projects
import httpx
from selectolax.parser import HTMLParser
resp = httpx.get("https://example.com")
tree = HTMLParser(resp.text)
for item in tree.css("div.product"):
title = item.css_first("h2").text()
price = item.css_first(".price").text()
print(f"{title}: {price}")
Why this stack: httpx is faster than requests (async support), selectolax is 10x faster than BeautifulSoup for parsing. For simple pages, you don't need Scrapy's overhead.
JavaScript / Node.js
| Tool | Best For |
|---|---|
| Playwright | Full browser automation |
| Puppeteer | Chrome-specific automation |
| Cheerio | Server-side HTML parsing |
| Crawlee | Production crawling framework |
| got-scraping | HTTP with anti-bot headers |
Anti-Detection & Proxies
| Tool | What It Does |
|---|---|
| curl_cffi | Impersonates real browser TLS fingerprints |
| undetected-chromedriver | Bypasses Cloudflare for Selenium |
| BrightData | Premium proxy network |
| ScraperAPI | Handles proxies + captchas |
| Oxylabs | Residential proxy network |
Free API Alternatives (No Scraping Needed)
Before you scrape, check if there's a free API. I maintain a list of 250+ free APIs:
| Data | Free API | Scraping? |
|---|---|---|
| Academic papers | OpenAlex | Not needed |
| Stock prices | Yahoo Finance API | Not needed |
| Weather | Open-Meteo | Not needed |
| News | GNews API | Not needed |
| Jobs | Arbeitnow API | Not needed |
Data Processing
| Tool | Purpose |
|---|---|
| pandas | Tabular data analysis |
| jq | JSON processing (CLI) |
| SQLite | Local data storage |
| DuckDB | Analytics on scraped data |
The Full List
The complete collection has 130+ tools across 15 categories:
- Python libraries (25+)
- JavaScript tools (15+)
- Go & Rust scrapers (10+)
- Browser automation (10+)
- Anti-detection tools (8+)
- Proxy services (10+)
- Data extraction (12+)
- Cloud scraping platforms (8+)
- CLI tools (10+)
- And more...
Browse the full list on GitHub →
What Am I Missing?
If you know a great scraping tool that's not in the list — drop it in the comments or open a PR. I update the list weekly.
What's your go-to scraping stack? I'm curious what combinations people are using in 2026.
I write about data extraction, APIs, and automation. Follow for weekly practical tutorials.
More from me: 10 Dev Tools I Use Daily | 77 Scrapers on a Schedule | 150+ Free APIs
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