Octoparse Alternatives: 5 Tools That Actually Fit Your Project

I’ll be honest about something upfront: we’re one of the alternatives on this list.

FlyByAPIs is a suite of five structured data APIs (Google Search, Google Maps, Amazon, Translator, Jobs Search) that return clean JSON for specific platforms instead of scraping arbitrary URLs. We’re not a general-purpose scraper like Octoparse. One API call, structured data back. Done.

TL;DR: Most developers searching for Octoparse alternatives are scraping Google, Amazon, or Maps — platforms where a dedicated API like FlyByAPIs returns structured JSON from $9.99/month, compared to Octoparse’s $99-119/month Standard plan. For general-purpose scraping, Apify (21,000+ pre-built scrapers) and Scrapy (free, open-source) are the strongest options.

So why am I writing about Octoparse alternatives instead of just promoting our stuff? Because after talking to hundreds of developers who use our APIs, I’ve noticed something: most of them tried Octoparse first. And most of them were using it to scrape Google, Amazon, or Maps — platforms where a dedicated API is faster, cheaper, and more reliable than any visual scraper.

But not everyone needs what we offer. Some of you need to scrape custom websites, social media profiles, or niche platforms. For those use cases, Octoparse might actually be fine — or you might need a different kind of tool entirely.

This guide covers five Octoparse alternatives across different categories: an API-first approach, an enterprise platform, an open-source framework, a no-code tool, and a proxy-based service. Real pricing, real tradeoffs. No fluff.

Quick comparison table of Octoparse alternatives

Before the deep dives, here’s the summary. Find your use case, pick your tool.

Why people look for Octoparse alternatives

Octoparse has its strengths. The visual workflow builder is beginner-friendly, they have 500+ pre-built templates for popular sites, and they handle things like pagination and infinite scrolling without code. For someone who’s never scraped a website before, it’s approachable.

So why do people look for Octoparse alternatives?

1. FlyByAPIs — best Octoparse alternative for Google, Amazon, and Maps data

This is us, so let me be direct about what we do and what we don’t.

We’re not a web scraper. We don’t give you a tool to point at any URL and extract data. What we offer is five structured data APIs on RapidAPI: Google Search API , Google Maps API , Amazon Data API , Translator API , and Jobs Search API . You make an API call, you get clean JSON back. No proxies, no CAPTCHAs, no HTML parsing.

Think of it this way: Octoparse is a toolbox. Our API is a vending machine. You tell us what you want (a Google search result, an Amazon product, a list of businesses on Maps), and we hand it to you in a structured format. The tradeoff is that we only sell what’s in the machine.

Why it matters for Octoparse users: When I look at what people actually scrape with Octoparse, a huge chunk of it is Google search results, Amazon product pages, and Google Maps listings. Octoparse has templates for these. But templates break when sites change their HTML. APIs don’t break, because we handle the extraction on our side and give you a stable JSON contract.

Pricing

Compare that to Octoparse at $99-119/month for the Standard plan. If your use case involves any of the platforms we cover, the math speaks for itself.

What it looks like in code

Here’s how simple it is — pick your language:

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import requests

url = "https://google-serp-search-api.p.rapidapi.com/search"
params = {"q": "best crm for startups", "gl": "us", "hl": "en"}
headers = {
    "x-rapidapi-key": "YOUR_API_KEY",
    "x-rapidapi-host": "google-serp-search-api.p.rapidapi.com"
}

response = requests.get(url, headers=headers, params=params)
data = response.json()

for result in data["organic_results"]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}")

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const response = await fetch(
  "https://google-serp-search-api.p.rapidapi.com/search?q=best+crm+for+startups&gl=us&hl=en",
  {
    headers: {
      "x-rapidapi-key": "YOUR_API_KEY",
      "x-rapidapi-host": "google-serp-search-api.p.rapidapi.com"
    }
  }
);
const data = await response.json();
data.organic_results.forEach(r => console.log(`${r.position}. ${r.title}`));

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require 'uri'
require 'net/http'
require 'json'

url = URI("https://google-serp-search-api.p.rapidapi.com/search?q=best+crm+for+startups&gl=us&hl=en")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["x-rapidapi-key"] = "YOUR_API_KEY"
request["x-rapidapi-host"] = "google-serp-search-api.p.rapidapi.com"

response = http.request(request)
data = JSON.parse(response.body)
data["organic_results"].each { |r| puts "#{r['position']}. #{r['title']}" }

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$curl = curl_init();
curl_setopt_array($curl, [
    CURLOPT_URL => "https://google-serp-search-api.p.rapidapi.com/search?q=best+crm+for+startups&gl=us&hl=en",
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
        "x-rapidapi-key: YOUR_API_KEY",
        "x-rapidapi-host: google-serp-search-api.p.rapidapi.com"
    ],
]);

$response = curl_exec($curl);
$data = json_decode($response, true);

foreach ($data["organic_results"] as $result) {
    echo $result["position"] . ". " . $result["title"] . "\n";
}

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curl -s "https://google-serp-search-api.p.rapidapi.com/search?q=best+crm+for+startups&gl=us&hl=en" \
  -H "x-rapidapi-key: YOUR_API_KEY" \
  -H "x-rapidapi-host: google-serp-search-api.p.rapidapi.com" | python3 -m json.tool

Same API, any language. A few lines of logic regardless of your stack. No Selenium, no proxy rotation, no selector maintenance. The response comes back in under 2 seconds with organic results, People Also Ask, related searches, and autocomplete predictions — all structured as JSON.

For Amazon, the coverage goes deeper: 25 endpoints across 21 marketplaces. Product details, search results, reviews, deals, best sellers, seller profiles. If you’ve built an Amazon price tracker before, you know how painful it is to maintain Amazon scrapers. One layout change and everything breaks.

Verdict: If your Octoparse workflow involves Google, Amazon, or Maps, switching to a dedicated web scraping API will save you money and maintenance headaches. At $9.99/month vs $99/month, it’s the cheapest Octoparse alternative for these three platforms. If you need to scrape custom websites or social media, keep reading.

2. Apify — best for scale and marketplace scrapers

Apify is the platform you graduate to when Octoparse’s template library feels too limiting. Their marketplace has over 21,000 pre-built scrapers (called “Actors”) for practically any website you can think of: Instagram, TikTok, LinkedIn, Zillow, Yelp, Reddit, and hundreds more.

The difference from Octoparse: everything runs in the cloud natively. No desktop app. You pick an Actor from the marketplace (or write your own in Python or JavaScript), configure it, hit run, and get your data. You can schedule runs, chain Actors together into workflows, and export to JSON, CSV, Excel, or directly to Google Sheets.

Pricing: Free tier gives you $5 in monthly platform credits. Paid plans start at $39/month (Starter), then $199/month (Scale), and $999/month (Business). Here’s the catch: Apify charges based on compute units (CPU time and memory), not per request. A lightweight scraper might cost $0.50 per 1,000 pages. A heavy one running headless Chrome against a protected site could cost $5+ per 1,000 pages. It’s hard to predict costs upfront.

For context, Octoparse Standard at $99/month gives you 100 tasks and 6 concurrent cloud runs. Apify’s $39/month Starter gives you fewer compute units but far more flexibility in what you can scrape. If you’re doing less than a few thousand pages per month, Apify’s free tier might be enough.

Verdict: As an Octoparse alternative, Apify is the right move if you need to scrape something Octoparse can’t handle, or if you’ve outgrown the visual builder approach. The marketplace is its killer feature. But watch your compute costs — they can surprise you.

3. Scrapy — best open-source alternative (for developers)

If you’re comfortable writing Python and you want total control, Scrapy is the answer that keeps coming up on Reddit whenever someone asks about Octoparse alternatives. And for good reason: it’s free, it’s battle-tested, and it can scrape anything.

Scrapy is an open-source Python framework for building web crawlers. Not a point-and-click tool — a proper framework with spiders, pipelines, middleware, and a crawl engine. You write Python code that defines what to scrape, how to follow links, and where to store the data. It handles concurrency, rate limiting, and retries automatically.

Pricing: Free. Forever. It’s open-source under BSD license. Your costs are the server you run it on and your own development time.

Here’s the honest tradeoff though: what Octoparse gives you in 15 minutes of clicking, Scrapy requires 2-3 hours of coding. And that’s before you deal with proxies, CAPTCHAs, anti-bot detection, and the ongoing maintenance when sites change their HTML structure.

Octoparse abstracts all of that away (imperfectly, but it does). Scrapy gives you the raw materials and says “build it yourself.”

A basic Scrapy spider:

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import scrapy

class ProductSpider(scrapy.Spider):
    name = "products"
    start_urls = ["https://example.com/products"]

    def parse(self, response):
        for product in response.css(".product-card"):
            yield {
                "title": product.css("h2::text").get(),
                "price": product.css(".price::text").get(),
                "url": product.css("a::attr(href)").get(),
            }

        next_page = response.css("a.next::attr(href)").get()
        if next_page:
            yield response.follow(next_page, self.parse)

Clean, readable, and you own every line. But you also own every bug, every broken selector, and every proxy ban.

Verdict: Scrapy is the best choice among Octoparse alternatives if you’re a developer who wants full control, has specific scraping needs that no pre-built tool covers, and doesn’t mind investing time in setup and maintenance. It’s the opposite of Octoparse in every way — maximum power, minimum hand-holding.

4. Browse AI — best no-code alternative for monitoring

Browse AI is what Octoparse would be if it were built today as a cloud-first product. No desktop app. You train a “robot” by clicking on the data you want in a browser extension, and Browse AI figures out how to extract it automatically.

The real differentiator is monitoring. Browse AI doesn’t just scrape once — it watches pages for changes and notifies you. Price drops, new listings, content updates, stock availability. If your use case is “I need to know when something changes on a webpage,” Browse AI does this better than Octoparse.

Pricing: Free plan gives you 5 robots and limited credits. Personal plan is $48/month (500 credits), Professional is $87/month (2,000 credits), and Premium starts at $500+/month for teams. Credits are consumed per extraction — a single page extraction costs 1-5 credits depending on complexity.

Compared to Octoparse’s $99-119/month, Browse AI’s pricing is comparable at the Personal tier but gets expensive for high-volume use. The value is in the monitoring and scheduling features, not raw scraping volume.

Verdict: Among no-code Octoparse alternatives, Browse AI is the best if you’re a non-developer who needs to monitor websites for changes. It’s more intuitive than Octoparse’s desktop builder, and the monitoring features are actually useful. For high-volume scraping, look elsewhere.

5. Bright Data — best Octoparse alternative for enterprise and proxy infrastructure

Bright Data is the heavy artillery. If Octoparse is a Swiss army knife and Scrapy is a custom-built tool, Bright Data is an industrial machine. They operate the world’s largest proxy network (72+ million residential IPs) and offer scraping infrastructure that handles sites most tools can’t touch.

This isn’t a tool for side projects. Bright Data’s target audience is enterprises and data companies that need millions of pages scraped daily with near-100% success rates, even on heavily protected sites.

Pricing: This is where Bright Data diverges from everything else on the list. There’s no simple “$X/month” plan. Their Web Scraper API starts around $0.98 per 1,000 pages. Their Web Unlocker (for anti-bot bypass) runs higher. Proxy bandwidth is priced per GB. A realistic monthly spend for moderate use is $500-2,000+. They offer 20 free API calls and a 7-day trial.

Compared to Octoparse’s $99/month, you’re in a different league entirely. But if Octoparse’s anti-bot capabilities are failing you on protected sites, Bright Data’s Web Unlocker is one of the few services that consistently gets through Cloudflare, DataDome, and PerimeterX.

Verdict: Of all the Octoparse alternatives here, Bright Data is the one you switch to when you need industrial-grade scraping and the budget to match. For indie hackers and side projects, it’s overkill. For data companies scraping millions of pages through anti-bot protections, it’s one of the few options that actually works.

The real question: do you need a scraper at all?

Here’s the thing nobody writing about Octoparse alternatives talks about, because most of the articles are written by scraping companies promoting themselves.

A huge percentage of people using Octoparse are scraping the same platforms over and over: Google search results for SEO monitoring, Amazon product pages for price tracking, Google Maps listings for lead generation. These are the top three use cases I see constantly.

For all three of those, you don’t need a visual scraper. You don’t need to maintain CSS selectors that break every time Google updates their layout. You don’t need proxy rotation or CAPTCHA solving. You need an API call that returns structured data.

That’s what we built our API suite around. Not because scraping is bad — it’s the right tool for plenty of jobs. But for the platforms where data extraction is a solved problem, paying $99/month for a visual scraper when a $9.99/month API does the same thing faster and more reliably… it doesn’t make sense.

Here’s a concrete example. Let’s say you’re building a side project that tracks competitor prices on Amazon. With Octoparse, you’d:

1. Download and install the desktop app
2. Build a workflow using their visual builder (30-60 minutes per product page template)
3. Configure pagination and data fields
4. Set up cloud execution ($99/month minimum)
5. Hope the selectors don’t break next week

With our Amazon Data API , you’d:

1. Sign up on RapidAPI (free)
2. Make an API call with the ASIN
3. Get structured JSON with pricing, reviews, seller info, and stock status
4. Done. $14.99/month for 10,000 requests.

The API approach wins on cost, reliability, and development time. The scraper approach wins on flexibility — if you need to extract data from a website we don’t cover, Octoparse or one of the other Octoparse alternatives on this list is the way to go.

Pricing comparison: Octoparse vs alternatives

Here’s how the monthly costs stack up for common scraping volumes.

How to pick the right Octoparse alternative

If you’ve read this far, you probably know which Octoparse alternative fits your project. But in case you’re still deciding:

Bottom line

The scraping market has changed a lot since Octoparse first showed up, and the best Octoparse alternatives today reflect that evolution. Visual scrapers were a revelation when the only alternative was writing Python from scratch. But now there are better options for almost every specific use case.

If you’re looking at Octoparse alternatives because you’re scraping Google, Amazon, or Maps — stop scraping. Use a data extraction API . It’s cheaper, it’s faster, and you’ll never debug a broken CSS selector at 2am again.

If you need to scrape something else, pick the Octoparse alternative that matches your technical level and budget. Apify for power users, Browse AI for non-coders, Scrapy for developers who want full control, Bright Data for enterprises.

And if you want to see what I mean about the API approach, our Google SERP API and Amazon Data API both have free tiers. No credit card, no commitment. Just make a request and see what comes back. If the data you need is there, you just saved yourself a scraping headache.

P.S. — If you’re one of those people who’s been maintaining a Google scraper for months and it keeps breaking every few weeks… I feel you. That frustration is literally why we built this.

Oriol.