API Web Scrapers Compared: Which Tool Gives You the Best Value for 1,000 Pages?

ScrapingBee, ScraperAPI, ZenRows, Firecrawl-we break down the real cost per successful page, success rates, and hidden credit multipliers. The total cost of ownership for a small startup.

Maxime Yao, research editor · Published 2026-05-23

Research Opener: How We Compared These APIs

Last updated: May 2026

How were these web scraping APIs compared?

This guide synthesizes published benchmarks and official pricing pages. We did not run a first‑hand test.

Elaboration. The brief lacks a single head‑to‑head benchmark under identical conditions for all four tools. Instead, we aggregate documented success rates ¹, credit multiplier breakdowns (Prospeo, Proxies.sx), and pricing announcements. For a solo developer or early‑stage startup evaluating 1,000 pages on a job board like Indeed, this evidence‑based approach is more repeatable than a single personal test. Every number links to its source. Verify it yourself.

TL;DR: The 5 Takeaways

1. Credit multipliers hide true cost. ScrapingBee’s default JS rendering burns 5x credits.

2. Failures cost you. ScrapingBee’s 43% success rate vs. Firecrawl’s 61% in benchmarks.

3. Firecrawl’s markdown saves 67% on GPT tokens. Key for AI/ML engineers.

4. Pay only for success. BrightData and Zyte skip billing on blocked requests.

5. Effective cost per 1,000 successful pages equals plan price divided by successful pages. Test it.

1. The Pricing Shock: $49/month ≠ $49/month

Same $49/month. ScrapingBee: 2,000 JS-rendered pages. ScraperAPI: 10,000–20,000. Not the same.

Credit multipliers hide the true cost. ScrapingBee burns 5 credits per request with JavaScript enabled by default. That turns 10,000 credits into 2,000 effective pages. Before failures. ScraperAPI’s 100,000-credit plan costs 5–10 credits per JS request, yielding 10,000–20,000 pages. ZenRows ($69.99/mo) does not disclose its JS multiplier. Firecrawl ($16/mo) includes JS rendering with no multiplier. The most transparent option. BrightData charges $0.75 per 1,000 requests, no credits, no failures billed.

A $49 plan that gives you 2,000 pages is not the same as one that gives you 20,000.

Tool	Advertised price	Base credits/mo	JS rendering multiplier	Effective JS pages (100% success)
ScrapingBee	$49 (Startup)	10,000	5x	2,000
ScraperAPI	$49 (Hobby)	100,000	5–10x	10,000–20,000
ZenRows	$69.99 (Starter)	.	Not disclosed	Unknown
Firecrawl	$16 (Hobby)	.	None (included)	Unlimited within plan
BrightData	$0.75/1K requests	.	None	~1,333 per $1

Pricing as of May 2026. All dollar amounts from vendor pages cited in the evidence.

Action this week: Open each pricing page and find the JS rendering multiplier. Write it down. If the multiplier is hidden, treat the tool as high-risk for budget overruns.

2. The Success Rate Gap: Paying for Failures

Most developers assume a 100% success rate when they budget. That assumption costs money.

The Scrapeway benchmark ² tested four APIs across 12 moderate-blocking targets, including Indeed. The results were not uniform.

Tool	Success Rate	Bills for Failed Requests?	Implication for 1,000 Pages
ScrapingBee	43%	Yes (credit deducted)	Need ~2,326 requests to get 1,000
ZenRows	66%	Not stated (likely yes)	~1,515 requests
Firecrawl	61%	Not stated	~1,639 requests
ScraperAPI	61%	Not stated	~1,639 requests
BrightData	98-100% (on Indeed)	No (pay-only-for-success)	~1,020 requests, no wasted cost

ScrapingBee charges credits even on blocked requests. For our worked example. 1,000 pages from Indeed with JavaScript rendering. That means paying for ~1,326 failed requests you never wanted. At 5 credits per request, the waste is substantial.

This is not a minor edge case. The industry average success rate is 62.4%. ScrapingBee sits 19 points below that line. BrightData, by contrast, scored 99-100% on the same target sites and does not charge for failures.

For an early-stage startup tracking e-commerce prices, a low success rate means overage alerts, missed data points, and a trust-eroded development team. For an enterprise data team, it means compliance risk when retries trigger more blocks.

You don’t just pay for pages you get. You pay for pages you don’t.

Action this week: Before you commit to any API, ask: “What is your success rate on my target site? Do you charge for blocked requests?” Demand a benchmark, not a brochure.

3. JavaScript Rendering: The Hidden Multiplier

5 credits per request instead of 1. That’s the default.

ScrapingBee enables JavaScript rendering by default. Every request burns 5 credits unless you explicitly pass render_js=false. For the worked example. 1,000 pages from Indeed. That means 5,000 credits consumed before a single page succeeds. If 43% of those fail (Scrapeway, May 2026), you’ve burned 2,150 credits on failures alone.

The other tools are not innocent. ScraperAPI charges 5–10 credits for JavaScript rendering (Prospeo, accessed May 2026). ZenRows runs a headless browser on every request. No multiplier disclosed, but the resource cost is built into the $69.99/month plan. Firecrawl includes JS rendering without a visible multiplier but prices requests by complexity.

Here is how to disable JS in ScrapingBee:

import requests
response = requests.get(
 "https://app.scrapingbee.com/api/v1",
 params={
 "api_key": "YOUR_KEY",
 "url": "https://www.indeed.com/jobs?q=developer",
 "render_js": "false" # <-- saves 80% credits
 }
)

One parameter. 80% credit savings. If Indeed’s job listings load without JS, you just turned a $49 plan into a $9.80 plan.

If you don’t set render_js=false, you’re paying 5x for a superpower you may not need.

For AI/ML engineers, Firecrawl’s approach is different. It renders JS server-side and outputs clean markdown. 67% fewer tokens than raw HTML (Firecrawl blog, April 2026). That token reduction directly cuts LLM API costs. The tradeoff: you pay for the rendering, but you save on downstream processing.

Action this week: Check your target site. Open DevTools, disable JavaScript, and reload. If the data you need is still there, disable JS in your API calls. If it’s not, accept the multiplier. But know exactly what you’re paying for.

4. Developer Experience & Output Quality

Docs, SDKs, and output format matter more than headline price when your pipeline touches an LLM. Raw HTML wastes tokens. Clean markdown saves money.

Firecrawl generates markdown using 67% fewer tokens than raw HTML (Firecrawl blog). For a 1,000-page scrape fed into GPT, that translates to roughly 67% lower inference cost on the input side. The same evaluation criteria from Firecrawl’s blog. Success rate, output quality, JS rendering, pricing transparency, developer experience. Apply here.

Here is how the four tools stack up on developer experience:

1. Firecrawl-Native markdown output, SOC 2 Type 2 compliance, SDKs for Python and Node.js, and direct integration with LangChain and LlamaIndex. Best for AI/ML engineers who want structured data without post-processing.

2. ScrapingBee-Excellent documentation, fast setup, and a simple REST API. Output is HTML by default, requiring extra parsing. Solo developers will appreciate the low learning curve, but the credit multiplier pitfall (5x for JS) cancels the convenience.

3. ScraperAPI-Flexible API endpoint with proxy rotation (40M IPs). Output is raw HTML or JSON. No native markdown. Good if you already have a scraper and just need a proxy layer.

4. ZenRows-Cloud Puppeteer/Playwright for complex JS sites. Output is HTML. Less documentation depth than ScrapingBee, but stronger anti-blocking for heavy sites.

If your output goes to an LLM, cleaner input means cheaper inference.

Action this week: For AI/ML use cases, prioritize APIs that offer structured markdown. Run a test with 10 pages from your target site to compare output quality across Firecrawl, ScrapingBee, and ScraperAPI.

5. The Math: Effective Cost Per 1,000 Successful Pages

The abstract numbers from earlier sections now become real dollars. Here is what it actually costs to scrape 1,000 Indeed pages with JavaScript rendering enabled, accounting for success rates and credit multipliers.

Worked example: 1,000 successful pages from Indeed (JS on).

Tool	Success rate	Requests needed	Credit multiplier	Total credits	Plan price	Effective cost
ScrapingBee	43%	2,326	5x (JS default)	11,630	$49 / 10K credits	$57.00
ScraperAPI	61%	1,639	5x (min JS)	8,195	$49 / 100K credits	$4.02
ZenRows	66%	1,515	~1x (estimate)	1,515	$69.99 / month	~$10
Firecrawl	61%	1,639	1x (assumed)	1,639	$16 / month	~$16
BrightData	98%	1,020	1x (pay-per-success)	1,020	$0.75 / 1K requests	$0.77

The spread is not subtle. BrightData charges less than a dollar for the same output that costs $57 on ScrapingBee. ScraperAPI’s Hobby plan ($49 for 100K credits) makes it a strong second for early-stage startups on a budget.

1. ScrapingBee burns credits on failures and JS multipliers. You pay for 2,326 requests to get 1,000 pages.

2. ScraperAPI and Firecrawl sit in the middle, with ScraperAPI winning on pure cost per successful page.

3. BrightData charges only for success. No multipliers, no failure fees. Its proxy pool (400M+ IPs) justifies the premium for enterprise teams.

The memory line: For 1,000 pages: BrightData ~$0.77, ScraperAPI ~$4, Firecrawl ~$16, ScrapingBee ~$57, ZenRows ~$10.

Action this week: Open each tool’s pricing page with your actual target volume. Use this formula:

(requests needed = 1,000 / success rate) × credit multiplier ÷ credits per plan × plan price = effective cost.

Run the numbers before you buy. Any API that hides its credit multipliers or success rate is hiding a cost you will pay.

6. Limits & Objections: Why Not DIY or Free Tools?

The honest objection: Scrapy plus residential proxies from Proxies.sx costs $4-6/GB-that’s thousands of pages per dollar. Why pay a monthly API fee?

Because “free” in dollars is expensive in developer time. At low volume (<5K pages), the setup, IP rotation, CAPTCHA handling, and headless browser debugging consume days. For an early-stage startup watching runway, that’s a hard opportunity cost.

Three limits to the DIY path:

1. You pay for failures in debug time, not credits. A scraper that breaks on site structure changes costs hours to fix. A paid API’s support queue may be slow, but you don’t own the maintenance.

2. Proxy management is not a one-time fix. Rotating IPs, avoiding rate limits, and managing browser fingerprints is an ongoing ops task. Most solo developers underestimate this by 3-5x (see Proxyway 2025 estimates).

3. Success rates from benchmarks are site-specific. The 98% BrightData number applies to Indeed, not your niche job board. Run a 100-page test on your actual target before committing to any tool.

The DIY path isn’t free. It trades dollars for developer hours. Estimate your time to set up a reliable headless + proxy stack. If it exceeds $50, a paid API is cheaper for the first 10K pages. If you plan to scale past 100K pages/month, revisit the math-DIY with raw proxies becomes cost-competitive, but only if you have ops expertise in-house.

Action this week: 1. Timebox 4 hours to attempt a Scrapy + Playwright prototype on your target site. 2. If you hit CAPTCHAs or IP blocks, add 2 hours. 3. Compare that total developer-hour cost to $49-69/month for an API. Pick the cheaper path.

FAQ: Common Questions About Web Scraping APIs

Does ScrapingBee charge for failed requests?

Yes. ScrapingBee burns credits even on blocked requests. You pay for failures. BrightData and Zyte do not charge for failed requests. They use pay-per-success billing.

This is the single biggest hidden cost in credit-based systems. For a solo developer scraping 1,000 pages on Indeed, ScrapingBee’s 43% success rate ³ means you burn credits on roughly 1,400 failed requests to get 1,000 good ones. That inflates effective cost by 2.3x.

Which API is cheapest for 1,000 pages with JavaScript rendering?

Firecrawl’s $16/month plan gives 1,000 credits. Enough for 1,000 JS-rendered pages if each costs 1 credit. ScraperAPI at $49/month (100K credits, JS at 5-10x) is cheaper per page but has a higher entry cost.

The effective cost depends on success rate and multipliers. An early-stage startup running the example project should calculate ECPP using the formula in Section 5, not the advertised plan price.

Do these APIs support Python and Node.js?

All four. ScrapingBee, ScraperAPI, ZenRows, Firecrawl. Offer Python and Node.js SDKs. Firecrawl also integrates with LangChain and LlamaIndex, which matters for AI/ML engineers who need clean markdown output.

For a solo developer or freelancer building a quick prototype, any of these work. The documentation quality is adequate across the board. The real differentiator is whether the SDK handles retries and error handling transparently.

What is the highest success rate among these tools?

BrightData achieves 99-100% on Amazon, Indeed, Zillow, Capterra, and Google (Scrape.do benchmark). Among the four compared here, ZenRows leads at 66%, followed by Firecrawl and ScraperAPI at 61%, and ScrapingBee at 43%.

For an e-commerce price monitor scraping Amazon daily, BrightData’s reliability justifies its higher per-request cost. For a startup on a budget, ZenRows or Firecrawl offer a reasonable balance of cost and success rate.

Can I scrape Indeed with these APIs without getting blocked?

Yes, but success varies. BrightData scores 99-100% on Indeed. ZenRows and Firecrawl sit around 60-66%. ScrapingBee’s 43% on moderate-blocking targets means nearly 60% of requests fail.

An early-stage startup should run a 100-page test on Indeed before committing. No benchmark replaces your own target site under your own request pattern.

Closing: Do the Math Before You Commit

The cheapest advertised price is a trap. The tool that wins at 1,000 pages may lose at 10,000. Architecture scales costs differently.

Effective cost per successful page is the only metric that matters.

Your action this week:

1. Run the ECPP formula for your target site before signing up. (Plan cost ÷ successful pages you can extract.)

2. Test with free credits against your actual target, not a benchmark.

3. Set a volume trigger. If your pipeline exceeds 5,000 pages/month, switch tools. Firecrawl for AI pipelines. BrightData for enterprise reliability. ScraperAPI for proxy-only stacks.

Do the math. Then commit.

About the Author

This guide was written by a developer tools researcher who evaluates web scraping APIs for cost transparency and real-world performance. No personal testing was conducted; findings are drawn from published benchmarks and pricing documentation. Contact for corrections or updates.

Sources

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Footnotes

1. Scrapeway. https://scrapeway.com/web-scraping-api/scrapingbee. (2026) ↩

2. May. (2026) ↩

3. Scrapeway. https://scrapeway.com/web-scraping-api/scrapingbee. (2025) ↩