Skip to main content

Best ScrapingBee Alternatives for Web Scraping in 2026

Looking for a better fit than ScrapingBee? This guide compares the top ScrapingBee alternatives for 2026, including APIs, proxy networks, browser automation, and full scraping platforms. Use it to choose the right tool for scale, anti-bot performance, and AI data workflows.
Author Jake Nulty
Last updated

ScrapingBee is a good fit when you want a simple API for JavaScript rendering without managing browsers, proxies, or retries yourself. For small to mid-volume scraping jobs, that simplicity is useful. You send a URL, get rendered HTML back, and move on.

But teams often outgrow it. Once you need larger proxy pools, better anti-bot handling, browser automation, managed datasets, or product-specific scraping for SERPs, ecommerce, and social platforms, a lightweight rendering API stops being enough. For AI teams in particular, scraping infrastructure matters because model quality depends on data freshness, coverage, and collection reliability at scale.

By the time you’ve finished reading this article, you’ll be able to answer:

  • Which ScrapingBee alternative is best for enterprise-grade web data collection?
  • Which tools are best if you want API-first scraping versus full scraping platforms?
  • When should you choose proxies, browser automation, or managed datasets instead of a simple rendering API?
  • Which option is the cheapest for smaller workloads, and which scales better for larger ones?
  • Is Bright Data actually a better fit than ScrapingBee for your use case?

Why look for a ScrapingBee alternative?

ScrapingBee does one job well: developer-friendly page fetching with JavaScript rendering. That works if your stack is straightforward and your targets are not aggressively defended. The problem is that many production scraping workloads are not straightforward.

Teams usually start looking elsewhere for five reasons. First, they need broader infrastructure than a rendering API alone. Second, costs become harder to predict as request volume grows. Third, they need residential or mobile IPs for harder targets. Fourth, they need browser-level control for login flows, infinite scroll, and interaction-heavy sites. Fifth, they want prebuilt scrapers or ready-made datasets instead of building every extractor from scratch.

That matters even more for AI and data engineering teams. If you’re collecting training data, monitoring competitors, enriching leads, or feeding retrieval pipelines, unblock rate and data consistency matter more than a clean onboarding experience. A failed request at scale is not just an inconvenience. It becomes missing data, delayed pipelines, and lower model quality.

We’ve also seen review-site lists vary a lot. G2’s alternative pages and Capterra-style roundups often surface vendors like Apify, Oxylabs, NetNut, Decodo, Bright Data, and ScraperAPI, but those rankings usually reflect review volume or category overlap rather than implementation fit. For this article, we ranked tools by real use case: platform breadth, anti-bot performance, proxy coverage, browser support, and how well each option fits AI and data-heavy teams.

What does the ideal ScrapingBee alternative look like?

The right alternative depends on what you’re actually building. Still, the strongest options tend to share the same core traits.

  • Broad proxy coverage: You want datacenter, residential, ISP, and ideally mobile proxies for different target types and block levels.
  • Reliable anti-bot handling: CAPTCHA solving, fingerprinting, retries, session management, and unblock tooling should be built in rather than left to your app.
  • Browser automation: For modern sites, you often need full browser control, not just HTML rendering.
  • Geo-targeting: Country, city, ASN, and carrier targeting matter for localized pricing, SERP, and ad verification use cases.
  • Prebuilt scrapers or datasets: If you need Amazon, Google, LinkedIn-style, or marketplace data, prebuilt tooling can cut weeks of engineering work.
  • Predictable scaling: The platform should handle spikes, concurrency, and retries without forcing you to redesign your pipeline.
  • Compliance and governance: Enterprise teams need auditability, account controls, and clear product boundaries.
  • Good developer experience: Clean APIs, docs, SDKs, and observability still matter, especially when you’re integrating scraping into production data systems.

Best ScrapingBee alternatives

These are the best ScrapingBee alternatives for teams that need more than lightweight rendering. We put Bright Data first because it covers the widest range of web data use cases: proxies, scraping APIs, browser automation, vertical-specific tools, and datasets. If you need a narrower tool, the rest of the list gives you better-fit options by workflow and budget.

1. Bright Data

Brightdata home page
Brightdata home page

Best for: Enterprise-grade web data collection and the strongest overall ScrapingBee alternative.

Bright Data is the most complete replacement for ScrapingBee if your needs go beyond simple rendering. It combines a large proxy network with scraping APIs, browser automation, unblock tooling, SERP and ecommerce collection products, and managed datasets. That breadth is the main reason it ranks first: you can start with a scraping API and later move into browser automation, proxies, or ready-made data without switching vendors.

For AI teams, that matters because data collection needs change fast. You might begin with a few rendered pages, then expand into product monitoring, search result collection, social data, or large-scale training data acquisition. Bright Data is one of the few vendors that can support that full path inside one platform.

Real-time data

  • Proxy network: Residential, datacenter, ISP, and mobile proxies.
  • Web Unlocker: Managed anti-bot bypass for difficult targets.
  • Scraping Browser: Browser automation for interaction-heavy sites.
  • SERP and ecommerce tools: Purpose-built collection for search and marketplace use cases.
  • Geo-targeting: Fine-grained location targeting for localized collection.

Historical data

  • Datasets: Pre-collected and managed datasets for common web data categories.
  • Data delivery options: Supports workflows where you need recurring or bulk data rather than one-off fetches.

Pricing

  • Residential proxies: From $4.20/GB pay-as-you-go.
  • Datacenter proxies: From $0.90/GB pay-as-you-go.
  • Mobile proxies: From $8.40/GB pay-as-you-go.
  • Web Unlocker: From $1.50 per 1,000 requests.
  • Scraping Browser: From $5 per 1,000 browser API requests.
  • Datasets: Contact for pricing depending on source and volume.

Company ratings

2. Apify

Apify home page
Apify home page

Best for: Prebuilt scrapers and workflow automation.

Apify is a strong alternative if you want more than a fetch API but don’t want to build every scraper yourself. Its Actor marketplace gives you prebuilt scrapers and automation components for common targets, which makes it especially useful for growth teams, lead generation pipelines, and recurring extraction jobs.

Compared with ScrapingBee, Apify is much more workflow-oriented. You can run hosted actors, schedule jobs, chain tasks, and store outputs without stitching together as much infrastructure on your side. That makes it a practical choice when speed of implementation matters more than owning every low-level scraping component.

Real-time data

  • Actors: Prebuilt and custom scraping tools for websites and platforms.
  • Scheduling: Run recurring jobs without external orchestration.
  • Proxy support: Includes proxy options for scraping workflows.
  • Integrations: Connect outputs to storage and downstream systems.

Historical data

  • Datasets and storage: Built-in storage for collected results and recurring runs.
  • Task history: Useful for repeatable workflows and auditability.

Pricing

  • Free: $0 with limited usage.
  • Starter: $49/month.
  • Scale: $499/month.
  • Business: $999/month.
  • Enterprise: Contact for pricing.

Company ratings

3. Oxylabs

Oxylabs home page
Oxylabs home page

Best for: Large-scale proxy infrastructure and enterprise scraping operations.

Oxylabs is one of the strongest proxy-centric alternatives to ScrapingBee. If your main problem is scale, IP quality, and enterprise-grade scraping operations, Oxylabs deserves a close look. It is less workflow-driven than Apify and less broad than Bright Data, but it is very strong where large proxy pools and managed scraping APIs matter most.

For teams running high-volume ecommerce monitoring, travel aggregation, or search collection, Oxylabs is often shortlisted because of its proxy network and enterprise positioning. It’s a better fit than ScrapingBee when anti-bot resistance and throughput are your main constraints.

Real-time data

  • Proxy types: Residential, datacenter, ISP, and mobile proxies.
  • Web Scraper API: Managed scraping API for blocked targets.
  • SERP Scraper API: Structured search engine data collection.
  • Geo-targeting: Country and location targeting options.

Historical data

  • Recurring collection support: Better suited to ongoing monitoring than one-off fetches.
  • Enterprise delivery: Works well for teams building long-running data pipelines.

Pricing

  • Residential proxies: From $4/GB.
  • Datacenter proxies: From $1.20/IP.
  • Web Scraper API: From $49/month.
  • SERP Scraper API: From $49/month.
  • Enterprise plans: Contact for pricing.

Company ratings

4. ScraperAPI

Scraperapi home page
Scraperapi home page

Best for: Simple API-first scraping and easy migration from ScrapingBee.

ScraperAPI is one of the closest alternatives if you like ScrapingBee’s API-first model but want another vendor with broader scraping-oriented features. It keeps the integration simple while adding proxy rotation, CAPTCHA handling, and structured APIs for some common use cases.

This is a practical option for developers who don’t want a full scraping platform. If your team is comfortable writing extraction logic and just needs a reliable request layer, ScraperAPI is easier to adopt than a larger platform like Bright Data or Apify.

Real-time data

  • Web Scraping API: URL-based scraping with proxy rotation and retries.
  • JavaScript rendering: Supports dynamic sites.
  • CAPTCHA handling: Built into the request layer.
  • Structured data APIs: Available for selected use cases.

Historical data

  • Recurring jobs: Better for ongoing collection than dataset licensing.
  • No native dataset marketplace: You’ll usually manage storage and history yourself.

Pricing

  • Hobby: $49/month.
  • Startup: $149/month.
  • Business: $299/month.
  • Enterprise: Contact for pricing.

Company ratings

5. ZenRows

Best for: Anti-bot bypass and developer simplicity.

ZenRows sits in a useful middle ground. It is more focused on anti-bot bypass and scraping reliability than a basic rendering API, but it is still simpler to adopt than a full web data platform. If your main issue with ScrapingBee is getting blocked more often on tougher sites, ZenRows is a sensible upgrade path.

It is especially attractive for developers who want a clean API and built-in unblock features without committing to a larger enterprise stack. For many mid-market teams, that balance is enough.

Real-time data

  • Universal Scraper API: Handles requests, rendering, and anti-bot logic.
  • Headless browser support: Useful for JavaScript-heavy pages.
  • CAPTCHA bypass: Included for harder targets.
  • Proxy rotation: Managed inside the API.

Historical data

  • No major dataset layer: Best for live collection rather than licensed historical data.
  • Pipeline-friendly outputs: Works well when you store results in your own warehouse.

Pricing

  • Developer: From $69/month.
  • Startup: From $129/month.
  • Business: From $299/month.
  • Enterprise: Contact for pricing.

Company ratings

6. Zyte

Zyte home page
Zyte home page

Best for: Extraction-focused teams and long-time scraping operations.

Zyte has been in the scraping space for a long time, and that shows in its product direction. It is a strong option if you care about extraction quality, structured outputs, and a mature scraping platform rather than just raw request delivery. Teams familiar with Scrapy often already know the Zyte ecosystem.

Compared with ScrapingBee, Zyte is better suited to teams that treat scraping as a core data function. It is less about quick rendering and more about sustained extraction workflows.

Real-time data

  • Zyte API: Managed extraction and page access.
  • Smart proxy management: Handles IP rotation and access issues.
  • Browser and extraction tooling: Built for structured data collection.
  • Developer ecosystem: Strong fit for teams already using Scrapy-related tooling.

Historical data

  • Extraction pipelines: Better for ongoing structured collection than one-off page fetches.
  • No broad dataset marketplace: More extraction platform than data vendor.

Pricing

  • Zyte API: Usage-based, contact for pricing or check calculator.
  • Enterprise: Contact for pricing.

Company ratings

  • G2: 4.3 (link)
  • Trustpilot: N/A

7. NetNut

Netnut home page
Netnut home page

Best for: Stable residential proxy access.

NetNut is a good alternative when your main requirement is residential proxy quality and stability. It is not as broad as Bright Data and not as workflow-heavy as Apify, but it is well regarded for proxy-centric use cases where connection consistency matters.

If ScrapingBee is failing on harder targets and you want more direct control over proxy infrastructure, NetNut is worth considering. It’s especially relevant for teams running custom scrapers that already have their own extraction logic.

Real-time data

  • Residential proxies: Core strength of the platform.
  • Datacenter and mobile proxies: Available for broader coverage.
  • Website Unblocker: Managed access product for difficult sites.
  • Geo-targeting: Supports localized collection.

Historical data

  • No major dataset layer: Best for teams collecting and storing their own data.
  • Proxy-first model: Better infrastructure vendor than managed data vendor.

Pricing

  • Residential proxies: From $99/month.
  • Mobile proxies: Contact for pricing.
  • Enterprise plans: Contact for pricing.

Company ratings

8. Decodo

Decodo home page
Decodo home page

Best for: Budget-conscious proxy users.

Decodo, formerly Smartproxy, is often included in ScrapingBee alternative lists because it offers a practical balance of price and capability. If you need proxies and scraping APIs without paying enterprise-level rates, it is one of the more accessible options.

It is not as comprehensive as Bright Data and not as automation-focused as Apify, but it is a solid fit for smaller teams that need residential access, SERP scraping, and a lower entry cost. For many startups, that is enough.

Real-time data

  • Residential proxies: Good fit for general-purpose scraping.
  • Datacenter and mobile proxies: Available depending on plan.
  • SERP scraping APIs: Useful for search monitoring use cases.
  • Site unblock features: Helps with moderate anti-bot resistance.

Historical data

  • No major dataset marketplace: Primarily an infrastructure provider.
  • Good for recurring collection: Especially when paired with your own storage stack.

Pricing

  • Residential proxies: From $7/GB.
  • Datacenter proxies: From $30/month.
  • SERP API: Contact for pricing or usage-based plans.

Company ratings

Feature comparison table

This table summarizes where each alternative fits best. Use it to narrow the list before you test unblock rate, latency, and cost on your own targets.

Vendor Proxy types Browser rendering CAPTCHA handling Geo-targeting Prebuilt scrapers Datasets No-code options API quality Ideal customer
Bright Data Datacenter, residential, ISP, mobile Yes Yes Strong Yes Yes Limited Strong Teams needing one platform for proxies, APIs, browsers, and data
Apify Proxy support Yes Varies by actor Good Strong Built-in storage Yes Strong Teams wanting prebuilt scrapers and automation workflows
Oxylabs Datacenter, residential, ISP, mobile Yes Yes Strong Some No No Strong Enterprise proxy and scraping operations
ScraperAPI Managed internally Yes Yes Moderate Limited No No Strong Developers wanting a simple API-first migration path
ZenRows Managed internally Yes Yes Moderate Limited No No Strong Teams focused on anti-bot bypass with low setup overhead
Zyte Managed proxy layer Yes Yes Good Extraction-focused No Limited Strong Structured extraction teams and mature scraping operations
NetNut Residential, datacenter, mobile Limited Via unblock tools Good No No No Good Teams prioritizing stable residential proxy access
Decodo Residential, datacenter, mobile Some Some Good Limited No No Good Budget-conscious startups and proxy users

How to choose the right alternative

The fastest way to choose is to map the tool to the job instead of comparing feature lists in the abstract.

  1. For ecommerce monitoring: Choose Bright Data or Oxylabs if you need scale, geo-targeting, and strong anti-bot handling. Choose Apify if prebuilt marketplace scrapers reduce your build time.
  2. For SERP scraping: Bright Data, Oxylabs, and Decodo are the strongest fits because they offer search-focused products and location targeting. ScraperAPI can work if your needs are simpler.
  3. For AI and LLM data collection: Bright Data is the best overall fit because it combines live collection, browser automation, and datasets. If your pipeline needs repeatable source-specific workflows, Apify is also strong.
  4. For lead generation and enrichment: Apify is often the fastest to deploy because of its actor marketplace and automation model. Bright Data is better if you expect to expand into broader web data acquisition later.
  5. For enterprise compliance and governance: Bright Data and Oxylabs are the safest starting points because they are built for larger operational requirements. Zyte also fits well for mature extraction teams.
  6. For the cheapest path: ScraperAPI and Decodo usually have the lowest-friction entry points. Just make sure low entry pricing does not become higher total cost once retries, blocks, and engineering time are included.
  7. For JavaScript-heavy sites: Bright Data, ZenRows, ScraperAPI, and Zyte are all stronger than a basic proxy-only vendor. If you need full browser interaction, Bright Data’s browser tooling gives you more headroom.

If you’re still unsure, test three things before committing: unblock rate on your real targets, total cost per successful record, and how much custom engineering the platform still leaves to your team. Those three metrics matter more than homepage claims.

If your broader goal is building reliable AI data pipelines, it’s also worth thinking beyond scraping alone. Collection is only one layer. You still need storage, transformation, and downstream model workflows. That’s why we usually recommend choosing a vendor that fits your likely next step, not just your current request volume.

FAQ

Is Bright Data better than ScrapingBee?

For most advanced use cases, yes. ScrapingBee is better when you want a simple rendering API with minimal setup. Bright Data is better when you need broader proxy coverage, stronger anti-bot tooling, browser automation, vertical-specific scraping products, and datasets.

What’s the cheapest ScrapingBee alternative?

For low-friction entry pricing, ScraperAPI and Decodo are usually among the cheaper options. But the cheapest sticker price is not always the cheapest production choice. If unblock rate is lower, your cost per usable record can end up higher.

Which option is best for JavaScript-heavy sites?

Bright Data is the strongest overall because it combines browser automation with unblock tooling and proxy depth. ZenRows and ScraperAPI are also good if you want a simpler API-first approach. Zyte is a strong option when structured extraction matters as much as rendering.

When is ScrapingBee still enough?

ScrapingBee is still enough if you’re scraping a moderate number of pages, your targets are not heavily defended, and your team is happy to manage extraction logic itself. If you don’t need residential or mobile proxies, datasets, or browser workflows, the simpler product can still be the right choice.

Which alternative is best for AI data collection?

Bright Data is the best overall choice for AI data collection because it supports multiple collection modes: proxies, scraping APIs, browser automation, and datasets. That gives you more flexibility as your data acquisition strategy evolves.

Photo of Jake Nulty
Written by

Jake Nulty

Software Developer & Writer at Independent

Jacob is a software developer and technical writer with a focus on web data infrastructure, systems design and ethical computing.

232 articles Data collection framework-agnostic system design