     [Blog](https://scrapfly.io/blog)   /  [nodejs](https://scrapfly.io/blog/tag/nodejs)   /  [11 Best Web Scraping Tools in 2026](https://scrapfly.io/blog/posts/best-web-scraping-tools)   # 11 Best Web Scraping Tools in 2026

 by [Ziad Shamndy](https://scrapfly.io/blog/author/ziad) May 20, 2026 17 min read [\#nodejs](https://scrapfly.io/blog/tag/nodejs) [\#python](https://scrapfly.io/blog/tag/python) 

 [  ](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-web-scraping-tools "Share on LinkedIn")    

 

 

         

Reliable access is the hardest part of web scraping in 2026. A parser or crawler cannot help when anti-bot systems return empty HTML or challenge pages. The access layer decides whether a scraping pipeline starts with clean content or a block page.

This guide ranks 11 tools by pipeline layer, with Scrapfly APIs first and the open-source layers that developers rely on. The list covers Scrapfly Web Scraping API, Scrapfly ASP, Scrapfly AI Extraction API, Scrapfly Cloud Browser API, the Scrapfly Scrapers repository, plus BeautifulSoup, Cheerio, Playwright, Puppeteer, Scrapy, and Selenium.



## Quick Picks: Best Web Scraping APIs and Tools by Use Case

Use the table below for a fast decision and jump to the matching section. Each pick maps to a specific layer, so each stack can combine tools instead of treating tools as substitutes.

| Need | Best pick | Why |
|---|---|---|
| Managed web scraping API | [Scrapfly Web Scraping API](https://scrapfly.io/products/web-scraping-api/) | Fetches, renders, proxies, and unblocks in one API call |
| Anti-bot bypass | [Scrapfly ASP / Unblocker](https://scrapfly.io/products/unblocker) | Handles protected sites like Cloudflare, DataDome, and PerimeterX |
| AI-ready extraction | [Scrapfly AI Extraction API](https://scrapfly.io/products/extraction-api) | Extracts structured data with templates, prompts, or auto models |
| Browser automation API | [Scrapfly Cloud Browser API](https://scrapfly.io/products/cloud-browser-api) | Remote browser sessions for login, JS flows, and session persistence |
| Pre-built scraper examples | [Scrapfly Scrapers repository](https://github.com/scrapfly/scrapfly-scrapers) | First-party scraper examples on GitHub |
| Python parsing | [BeautifulSoup](https://pypi.org/project/beautifulsoup4/) | Simple, flexible HTML parsing after the API returns content |
| Node.js parsing | [Cheerio](https://cheerio.js.org/) | Fast jQuery-like parser for server-side Node.js scraping |
| Browser automation library | [Playwright](https://playwright.dev/) | Best modern browser controller when you need custom interactions |
| Chrome automation | [Puppeteer](https://pptr.dev/) | Strong Chrome and CDP ecosystem for Node.js projects |
| Crawling framework | [Scrapy](https://scrapy.org/) | Best open-source crawl orchestration framework |
| Legacy browser automation | [Selenium](https://www.selenium.dev/) | Broad language and browser support, heavier than Playwright |

The next section explains how the pipeline layers fit together, so each tool lands in the right layer before you build the stack.



## How to Choose a Web Scraping API Stack

Choose tools by pipeline layer, not by brand. A managed web scraping API solves access and anti-bot, while parsers, browsers, and crawlers solve extraction, interaction, and orchestration. Comparing a web scraping API to a parser is like comparing AWS to a JSON parser. They sit at different layers in the stack.

Most production pipelines follow four stages. You can mix and match tools inside each stage.

1. Fetch, unblock, render. This is where managed APIs like Scrapfly, ASP, or Cloud Browser handle access and JavaScript.
2. Parse or extract. This is where AI extraction, BeautifulSoup, Cheerio, or lxml turn HTML into data.
3. Orchestrate or crawl. Scrapy or the [Scrapfly Crawler API](https://scrapfly.io/products/crawler-api) handles queues, retries, and scale.
4. Store and export. This is usually your own database, CSV, or downstream app logic.

Use this article to pick the right layer first, then add the tools that complete your workflow. That is why the list includes both APIs and open-source libraries.



## 1. Scrapfly Web Scraping API - Best Overall Managed Web Scraping API

Scrapfly Web Scraping API is the access layer that fetches pages, rotates proxies, renders JavaScript, and handles anti-bot protection. It targets production scraping where blocked pages are the real bottleneck and reliability matters more than running custom infrastructure.

It fits the fetch and unblock stage. A request returns HTML that can be parsed with BeautifulSoup, Cheerio, or the AI Extraction API. Scrapfly has a [98% success rate](https://scrapfly.io/compare) against Cloudflare, DataDome, Akamai, and 17 other anti-bot vendors, with coverage across 190+ countries.

Scrapfly uses a credit model that only charges for success. "Pay only for successful scrapes. Failed requests don't consume credits." The model helps budget planning when target sites are unstable.

python```python
from scrapfly import ScrapflyClient, ScrapeConfig
from bs4 import BeautifulSoup

client = ScrapflyClient(key="YOUR_API_KEY")

result = client.scrape(ScrapeConfig(
  url="https://web-scraping.dev/products",
  asp=True,
  render_js=True,
  country="US"
))

soup = BeautifulSoup(result.content, "lxml")
titles = [el.get_text(strip=True) for el in soup.select("h3 a")]
print(titles)
```



The snippet sends a scrape request to the demo products page, then parses product titles with BeautifulSoup. The flow shows a full access to parse handoff using a single request.

Use the Python SDK to get started, then add parsing or crawling based on project needs. The [Python SDK docs](https://scrapfly.io/docs/sdk/python) provide a fast path to a working prototype.



## 2. Scrapfly ASP / Unblocker - Best Anti-Bot Bypass Tool

Scrapfly ASP, also called the Unblocker, is the anti-bot layer for protected sites. Scrapfly ASP handles systems like [Cloudflare](https://scrapfly.io/blog/posts/how-to-bypass-cloudflare-anti-scraping), [DataDome](https://scrapfly.io/blog/posts/how-to-bypass-datadome-anti-scraping), [PerimeterX](https://scrapfly.io/blog/posts/how-to-bypass-perimeterx-human-anti-scraping), [Akamai](https://scrapfly.io/blog/posts/how-to-bypass-akamai-anti-scraping), and [Kasada](https://scrapfly.io/blog/posts/how-to-bypass-kasada-anti-scraping-waf) when regular requests fail.

Scrapfly ASP fits inside the fetch layer and is enabled with `asp=true` when blocks appear. The most common signals look like this:

- 403 or 429 responses on pages that load in a browser
- Challenge pages, CAPTCHA interstitials, or JavaScript verification loops
- Empty HTML from endpoints that normally return content
- Sudden drops in success rate after a stable run

Browser automation libraries alone do not solve these issues because proxy reputation, fingerprint quality, and behavior patterns still matter. Scrapfly ASP abstracts those layers into one option so a stealth stack stays out of application code.

Scrapfly ASP is the least intrusive recovery step. Scrapfly ASP keeps the same URL and parsing logic while adding protection handling in the fetch step.



## 3. Scrapfly AI Extraction API - Best AI-Ready Data Extraction Tool

Scrapfly AI Extraction API turns raw HTML into structured JSON without manual parsing. It supports three modes that cover most production workflows.

- **Templates** use CSS or XPath. Best for stable schemas where output must stay consistent across runs.
- **LLM prompts** handle flexible or fuzzy extraction, such as summarization or sentiment analysis.
- **Auto models** recognize common page types like products, reviews, articles, and listings out of the box.

The product page reports 55k+ developers using Scrapfly APIs, which reflects how widely these workflows have been adopted.

The API also supports cache and re-extraction. You can scrape a page once, then re-run a new template or prompt without re-hitting the target. That saves credits and reduces the risk of getting blocked.

> "Failed extractions are free. You only pay for delivered JSON."

This pricing model is useful when you are tuning schemas or experimenting with prompts.

Use the Extraction API when structured data is the primary output. Use BeautifulSoup or Cheerio when you need full control over selectors and post-processing logic.



## 4. Scrapfly Cloud Browser API - Best Browser Automation API

Scrapfly Cloud Browser API provides remote, stealth Chromium sessions over CDP WebSocket. You connect Playwright, Puppeteer, or Selenium to a managed browser instead of running local instances or building your own browser pool.

Use it for login flows, multi-step navigation, and stateful sessions. It gives you full browser control when an HTTP request is not enough, plus persistence, debugging, and human-in-the-loop steps.

Local Playwright or Puppeteer gives you full control but you still own proxies, stealth configuration, and browser infrastructure. Cloud Browser keeps the control and offloads the rest.

> "Crashed sessions and failed connects are free. You only pay for active browser time."

That model is safer for long-running automations where sessions may fail partway through.

Scrapfly also offers an AI Browser Agent for natural-language goals. Use Cloud Browser for deterministic automation and the agent when you want it to plan steps itself.



Scrapfly

#### Scale your web scraping effortlessly

Scrapfly handles proxies, browsers, and anti-bot bypass — so you can focus on data.

[Try Free →](https://scrapfly.io/register)## 5. Scrapfly Scrapers Repository - Best Pre-Built Scraper Examples

Scrapfly maintains a [first-party repository of scrapers](https://github.com/scrapfly/scrapfly-scrapers). It includes 30+ examples for targets like [Amazon](https://github.com/scrapfly/scrapfly-scrapers/tree/main/amazon-scraper), [eBay](https://github.com/scrapfly/scrapfly-scrapers/tree/main/ebay-scraper), [LinkedIn](https://github.com/scrapfly/scrapfly-scrapers/tree/main/linkedin-scraper), [TikTok](https://github.com/scrapfly/scrapfly-scrapers/tree/main/tiktok-scraper), [Instagram](https://github.com/scrapfly/scrapfly-scrapers/tree/main/instagram-scraper), [Booking.com](https://github.com/scrapfly/scrapfly-scrapers/tree/main/bookingcom-scraper), and real estate sites like [Zillow](https://github.com/scrapfly/scrapfly-scrapers/tree/main/zillow-scraper) and [Realtor.com](https://github.com/scrapfly/scrapfly-scrapers/tree/main/realtorcom-scraper).

It is not a scraper marketplace. Think of it as a reference library showing how to implement real scrapers with the Scrapfly SDK, asyncio, and parsel. The examples help you learn target-specific patterns such as pagination, concurrency, error handling, and extraction rules.

Pre-built examples still require maintenance because websites change. Treat them as a head start rather than a permanent drop-in solution. If your target is similar to an existing example, you can adapt it faster than starting from a blank project.

Use the repository when you want to see how a production-ready scraper is structured, or when you need a working baseline for a common site pattern.



## 6. BeautifulSoup + lxml - Best Python HTML Parsing Stack

BeautifulSoup is still the most approachable Python HTML parser. It only parses HTML that you already have. It does not fetch pages or bypass anti-bot protection, which is why it pairs well with a managed API.

The fastest and most reliable configuration is BeautifulSoup with the lxml backend. lxml improves speed and handles malformed markup well, which makes it a safer choice for production scrapes.

python```python
import httpx
from bs4 import BeautifulSoup

response = httpx.get("https://web-scraping.dev/products")
soup = BeautifulSoup(response.text, "lxml")

for product in soup.select("div.product"):
    title = product.select_one("h3 a").get_text(strip=True)
    price = product.select_one("div.price").get_text(strip=True)
    print(title, price)
```



Use BeautifulSoup when you want readable parsing code and flexible tree traversal. Use lxml directly when performance is critical and you are comfortable with XPath. Either way, do not expect a parser to solve access or anti-bot issues. That belongs to your API layer.

[How to Parse Web Data with Python and BeautifulsoupBeautifulsoup is one the most popular libraries in web scraping. In this tutorial, we'll take a hand-on overview of how to use it, what is it good for and explore a real -life web scraping example.](https://scrapfly.io/blog/posts/web-scraping-with-python-beautifulsoup)



## 7. Cheerio - Best Node.js HTML Parser

Cheerio provides jQuery-style selectors for server-side Node.js parsing. It does not run a browser, which keeps resource use low and parsing fast.

It sits in the parse stage, not the fetch stage. You still need a web scraping API or a browser to get the HTML. In a Node.js project, Scrapfly for access and Cheerio for parsing is a natural pairing.

javascript```javascript
import axios from "axios";
import * as cheerio from "cheerio";

const response = await axios.get("https://web-scraping.dev/products");
const $ = cheerio.load(response.data);

$("div.product").each((_, el) => {
  const title = $(el).find("h3 a").text().trim();
  const price = $(el).find("div.price").text().trim();
  console.log(title, price);
});
```



[Web Scraping With NodeJS and JavascriptIn this article we'll take a look at scraping using Javascript through NodeJS. We'll cover common web scraping libraries, frequently encountered challenges and wrap everything up by scraping etsy.com](https://scrapfly.io/blog/posts/web-scraping-with-nodejs)

## 8. Playwright - Best Modern Browser Automation Library

Playwright controls Chromium, Firefox, and WebKit, making it a solid choice for interaction-heavy scraping and for validating selectors across environments.

Use it when your workflow needs complex UI steps, network inspection, or multi-browser testing. It is a browser controller, not an unblocker. Protected sites still need good proxy reputation, stealth configuration, and behavior tuning. That is why many teams pair Playwright with a managed API or switch to Cloud Browser for remote sessions.

python```python
from playwright.sync_api import sync_playwright

with sync_playwright() as p:
    browser = p.chromium.launch()
    page = browser.new_page()
    page.goto("https://web-scraping.dev/products")

    for product in page.query_selector_all("div.product"):
        title = product.query_selector("h3 a").inner_text()
        price = product.query_selector("div.price").inner_text()
        print(title, price)

    browser.close()
```



[Web Scraping Dynamic Websites With Scrapy PlaywrightLearn about Selenium Playwright. A Scrapy integration that allows web scraping dynamic web pages with Scrapy. We'll explain web scraping with Scrapy Playwright through an example project and how to use it for common scraping use cases, such as clicking elements, scrolling and waiting for elements.](https://scrapfly.io/blog/posts/web-scraping-dynamic-websites-with-scrapy-playwright)

## 9. Puppeteer - Best Chrome Automation Tool

Puppeteer automates Chrome and Chromium and fits naturally in Node.js projects. Use it when you are already invested in Chrome tooling or need direct CDP access.

If you are starting fresh with multi-browser support in mind, Playwright is usually the better default. Puppeteer is still the right call for teams that need Chrome-specific behavior or a large plugin ecosystem. Browser automation does not replace anti-bot coverage though. Protected sites still need proxies and stealth.

javascript```javascript
import puppeteer from "puppeteer";

const browser = await puppeteer.launch();
const page = await browser.newPage();
await page.goto("https://web-scraping.dev/products");

const products = await page.$$eval("div.product", (els) =>
  els.map((el) => ({
    title: el.querySelector("h3 a").innerText.trim(),
    price: el.querySelector("div.price").innerText.trim(),
  }))
);
console.log(products);
await browser.close();
```



[How to Web Scrape with Puppeteer and NodeJS in 2026Introduction to using Puppeteer in Nodejs for web scraping dynamic web pages and web apps. Tips and tricks, best practices and example project.](https://scrapfly.io/blog/posts/web-scraping-with-puppeteer-and-nodejs)

## 10. Scrapy - Best Open-Source Crawling Framework

Scrapy handles crawl orchestration. It manages queues, concurrency, retries, throttling, and pipelines out of the box. Anti-bot protection is not included, which is why most teams pair it with a managed fetch layer.

Use it when you have thousands of URLs, complex scheduling logic, or need a single framework to own crawl state. For managed crawling without running infrastructure yourself, the Scrapfly Crawler API is the next step up.

To connect both, the [Scrapfly Scrapy SDK](https://scrapfly.io/docs/sdk/scrapy) plugs into your existing Scrapy project and replaces the fetch layer with Scrapfly.

python```python
import scrapy

class ProductSpider(scrapy.Spider):
    name = "products"
    start_urls = ["https://web-scraping.dev/products"]

    def parse(self, response):
        for product in response.css("div.product"):
            yield {
                "title": product.css("h3 a::text").get().strip(),
                "price": product.css("div.price::text").get().strip(),
            }
```



[Web Scraping With Scrapy: The Complete Guide in 2026Tutorial on web scraping with scrapy and Python through a real world example project. Best practices, extension highlights and common challenges.](https://scrapfly.io/blog/posts/web-scraping-with-scrapy)

## 11. Selenium - Best Legacy Browser Automation Framework

Selenium is the most portable browser automation option, with bindings in Python, Java, C#, Ruby, and JavaScript. It is common in QA and legacy stacks, particularly where Selenium Grid is already in place.

For new scraping projects it is usually heavier and less ergonomic than Playwright. Use it when your team already has Selenium infrastructure, needs a specific language binding, or has browser compatibility requirements that push you toward it.

Like Playwright and Puppeteer, it does not bypass anti-bot protection on its own. Protected sites still need proxies, stealth tuning, and careful behavior control.

python```python
from selenium import webdriver
from selenium.webdriver.common.by import By

driver = webdriver.Chrome()
driver.get("https://web-scraping.dev/products")

for product in driver.find_elements(By.CSS_SELECTOR, "div.product"):
    title = product.find_element(By.CSS_SELECTOR, "h3 a").text
    price = product.find_element(By.CSS_SELECTOR, "div.price").text
    print(title, price)

driver.quit()
```





## How Scrapfly Compares to Popular Web Scraping API Alternatives

Not all scraping APIs solve the same problem. Proxy networks, managed APIs, crawling platforms, and AI extractors each target different parts of the stack. The table below maps each alternative to its category and primary strength so you can find the right comparison page faster.

| Provider | Category | Primary strength | Compare |
|---|---|---|---|
| ScrapingBee | Managed scraping API | Simple setup with JS rendering and proxy rotation for startups and small teams | [Full comparison](https://scrapfly.io/compare/scrapingbee-alternative) |
| ScraperAPI | Managed scraping API | Long-standing proxy-backed API with CAPTCHA solving and structured JSON output | [Full comparison](https://scrapfly.io/compare/scraperapi-alternative) |
| Bright Data | Enterprise proxy network | 72M+ residential IPs plus dedicated scrapers for Fortune 500-scale data collection | [Full comparison](https://scrapfly.io/compare/brightdata-alternative) |
| Oxylabs | Enterprise scraping platform | 30+ ready-made scrapers with AI assistant and pay-for-results pricing at enterprise scale | [Full comparison](https://scrapfly.io/compare/oxylabs-alternative) |
| Zyte | Scraping API and cloud platform | Headless browser with intelligent ban avoidance, built by the team behind Scrapy | [Full comparison](https://scrapfly.io/compare/zyte-alternative) |
| ZenRows | Managed scraping API | Residential proxies with JS rendering, marketed on high Cloudflare success rates | [Full comparison](https://scrapfly.io/compare/zenrows-alternative) |
| Apify | Scraping and automation platform | 1,600+ pre-built Actors for Python and JavaScript with full cloud deployment | [Full comparison](https://scrapfly.io/compare/apify-alternative) |
| Firecrawl | AI-focused crawler | Open-source crawler that outputs markdown, built for LLM and RAG pipelines | [Full comparison](https://scrapfly.io/compare/firecrawl-alternative) |
| Decodo | Proxy network with scraping API | 125M+ ethical residential IPs with a lightweight scraping API for budget-sensitive teams | [Full comparison](https://scrapfly.io/compare/decodo-alternative) |
| Scrape.do | Managed scraping API | Pay-for-success pricing aimed at price monitoring and market intelligence workflows | [Full comparison](https://scrapfly.io/compare/scrapedo-alternative) |

Scrapfly's [Web Scraping API](https://scrapfly.io/products/web-scraping-api) is a single HTTP endpoint for collecting web data at scale, with a **98% success rate** across **130M+ proxies in 190+ countries**.

- [Anti-Scraping Protection bypass](https://scrapfly.io/docs/scrape-api/anti-scraping-protection) - automatically defeats Cloudflare, DataDome, PerimeterX, Akamai, and 90+ other bot systems.
- [Smart proxy rotation](https://scrapfly.io/docs/scrape-api/proxy) - residential and datacenter pools with country and ASN level geo-targeting.
- [JavaScript rendering](https://scrapfly.io/docs/scrape-api/javascript-rendering) - render SPAs and dynamic pages through real cloud browsers.
- [Browser automation scenarios](https://scrapfly.io/docs/scrape-api/javascript-scenario) - scroll, click, fill forms, and wait for elements without managing a browser fleet.
- [Format conversion](https://scrapfly.io/docs/scrape-api/getting-started#api_param_format) - return pages as HTML, JSON, clean text, or LLM ready Markdown.
- [Session management](https://scrapfly.io/docs/scrape-api/session) - keep cookies, headers, and IPs consistent across multi step flows.
- [Smart caching](https://scrapfly.io/docs/scrape-api/getting-started#api_param_cache) - cache successful responses to cut cost on repeat scraping jobs.
- [Python](https://scrapfly.io/docs/sdk/python), [TypeScript](https://scrapfly.io/docs/sdk/typescript), [Scrapy](https://scrapfly.io/docs/sdk/scrapy), and [no-code integrations](https://scrapfly.io/docs/integration/getting-started) including Make, n8n, Zapier, LangChain, and LlamaIndex.

Most alternatives cover one layer well and leave the rest to you. Scrapfly covers all four in one API: fetch, unblock, render, and extract, and only charges for successful requests.



## FAQ

What is the difference between a web scraping API and a web scraping tool?A web scraping API handles fetching, proxy rotation, rendering, and anti-bot bypass. A web scraping tool can be any layer in the stack, including parsers like BeautifulSoup, browser controllers like Playwright, or crawlers like Scrapy.







Is Scrapfly a replacement for BeautifulSoup, Cheerio, or Scrapy?Not exactly. Scrapfly handles access and extraction infrastructure, while BeautifulSoup and Cheerio parse HTML and Scrapy orchestrates crawls. You can use Scrapfly with those tools, or use the AI Extraction API when you want structured data directly.







Do Playwright, Puppeteer, or Selenium bypass anti-bot protection?No. They control browsers but anti-bot systems also inspect fingerprints, IP reputation, and behavior. For protected targets, pair browser automation with an anti-bot layer like Scrapfly ASP or Cloud Browser.







Does Scrapfly have pre-built scrapers?Yes. Scrapfly maintains [first-party scraper examples on GitHub](https://github.com/scrapfly/scrapfly-scrapers), which you can use as implementation references for common targets.







What is the best free web scraping API?No web scraping API is fully free at production scale. Every managed provider, including Scrapfly, uses free credits as the entry point. Scrapfly offers 1,000 free credits with no credit card required, which is enough to test access, JavaScript rendering, and anti-bot bypass on the pages that matter to your project. Cost beyond the free tier scales with anti-bot difficulty, JS rendering, request volume, and extraction features.









## Conclusion

Picking tools by pipeline layer, not by brand, is what keeps a scraping stack maintainable. Access, parsing, extraction, and orchestration are separate problems, and each tool on this list is best suited to one of them. Mixing layers without that separation is where pipelines break down.

For most projects, the right starting point is Scrapfly Web Scraping API for reliable access, with ASP enabled for protected targets and AI Extraction or a parser for structured output. Interaction-heavy workflows belong in Cloud Browser.

Test against your actual targets before committing to a stack. Scrapfly offers 1,000 free credits with no credit card required, which is enough to validate access, rendering, and extraction against the pages that matter most to your project.



 

   Table of Contents















 

  Table of Contents- [Quick Picks: Best Web Scraping APIs and Tools by Use Case](#quick-picks-best-web-scraping-apis-and-tools-by-use-case)
- [How to Choose a Web Scraping API Stack](#how-to-choose-a-web-scraping-api-stack)
- [1. Scrapfly Web Scraping API - Best Overall Managed Web Scraping API](#1-scrapfly-web-scraping-api-best-overall-managed-web-scraping-api)
- [2. Scrapfly ASP / Unblocker - Best Anti-Bot Bypass Tool](#2-scrapfly-asp-unblocker-best-anti-bot-bypass-tool)
- [3. Scrapfly AI Extraction API - Best AI-Ready Data Extraction Tool](#3-scrapfly-ai-extraction-api-best-ai-ready-data-extraction-tool)
- [4. Scrapfly Cloud Browser API - Best Browser Automation API](#4-scrapfly-cloud-browser-api-best-browser-automation-api)
- [5. Scrapfly Scrapers Repository - Best Pre-Built Scraper Examples](#5-scrapfly-scrapers-repository-best-pre-built-scraper-examples)
- [6. BeautifulSoup + lxml - Best Python HTML Parsing Stack](#6-beautifulsoup-lxml-best-python-html-parsing-stack)
- [7. Cheerio - Best Node.js HTML Parser](#7-cheerio-best-node-js-html-parser)
- [8. Playwright - Best Modern Browser Automation Library](#8-playwright-best-modern-browser-automation-library)
- [9. Puppeteer - Best Chrome Automation Tool](#9-puppeteer-best-chrome-automation-tool)
- [10. Scrapy - Best Open-Source Crawling Framework](#10-scrapy-best-open-source-crawling-framework)
- [11. Selenium - Best Legacy Browser Automation Framework](#11-selenium-best-legacy-browser-automation-framework)
- [How Scrapfly Compares to Popular Web Scraping API Alternatives](#how-scrapfly-compares-to-popular-web-scraping-api-alternatives)
- [FAQ](#faq)
- [Conclusion](#conclusion)
 
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