Clay vs Zenrows
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
Still shortlisting? Browse the best in B2B Data Providers and the best in GTM Engineering for every option we track, with award winners called out.
The short answer
Editorial assessmentZenrows compared with Clay
Complementary far more often than competitive, and the pairing is common enough to be a pattern. Clay is the workflow and enrichment surface where the list lives; Zenrows is what Clay calls when a needed field only exists on a page that blocks HTTP requests. Clay's own scraping steps handle easy targets well, so the honest rule is to add Zenrows only when Clay's built-in retrieval starts returning empty or challenged pages.
Choose Clay if
GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines.
Choose Zenrows if
Technical go-to-market operators, data teams, and AI agent builders who need live content from sites that block ordinary requests, and who would rather pay per successful page than run and maintain their own proxy and headless browser infrastructure.
Side by side
13 attributes| Attribute | Clay | Zenrows |
|---|---|---|
| Category | Data | GTM Engineering |
| Starting price | Free plan; paid from $167/mo billed annually (Launch) | Free (5,000 credits per month); paid plans from $19 per month, or about $16 per month billed annually |
| Pricing model | Two metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise. CRM auto-sync, webhooks, and the HTTP API integration are gated at Growth. | Credit-based subscription with one shared balance across Fetch, Extract, Browser Sessions, and Batch. Credit cost varies by difficulty: one credit for a plain request, five with JavaScript rendering, ten with premium proxies, twenty-five for a protected page needing both, and 25,000 credits per gigabyte of residential proxy traffic. Plans also step up concurrency, which is often the binding constraint before credits are. |
| Free plan | 500 actions and 100 data credits per month, unlimited seats and tables, up to 200 rows per table. | 5,000 credits per month, 5 concurrent requests, every feature unlocked, community support only, no rollover |
| Free trial | 14 days | No time-limited trial; the free plan is permanent and requires no card |
| Best for | GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines. | Technical go-to-market operators, data teams, and AI agent builders who need live content from sites that block ordinary requests, and who would rather pay per successful page than run and maintain their own proxy and headless browser infrastructure. |
| Setup time | First enriched table in an hour via templates; a production pipeline (sources, then waterfalls, then scoring, then delivery) typically takes 2-4 weeks to harden. | Minutes for a first successful request: sign up, copy the API key, paste the sample call. Getting a specific hard target working reliably takes longer, usually a session of testing which combination of JavaScript rendering, premium proxies, country, and wait conditions that particular site requires. |
| Learning curve | The steepest in this report, genuinely a skill. Templates, the academy, and a large creator ecosystem (courses, agencies) flatten it substantially. | Low for anyone comfortable with an HTTP client, meaningful for anyone who is not. The concepts that take longest are not the API but the domain: why a request needs residential IPs, what a fingerprint check is doing, and how to write backoff logic that does not trip the abuse protection. |
| Platforms | Web app, Chrome extension, REST API | REST API, Python, Node.js, and Go SDKs, Command line client, Proxy endpoint (username and password), Chrome DevTools Protocol for Browser Sessions, MCP server for Claude Code, Cursor, VS Code, Windsurf, Zed, and JetBrains |
| Compliance | SOC 2 Type II, GDPR program | GDPR, SOC 2, ISO 27001 |
| Founded | 2017 | 2021 |
| Headquarters | New York City, US | Getxo, Spain |
| Ownership | Venture-backed (private) | Independent, venture-backed |
Strengths and limitations
Clay
Strengths
- Waterfall coverage decisively beats any single data provider.
- Claygent turns open-web research into a scalable, auditable pipeline step.
- Deep native integrations across the modern outbound stack (sequencers, CRMs, signals).
- Template/creator ecosystem compounds, proven workflows are one click away.
Limitations
- Real learning curve, tables, waterfalls, and prompt design reward (effectively require) a technical operator.
- Credit economics are powerful but unforgiving without active management.
- Not a proprietary data source; quality ceilings are its providers'.
- Enterprise governance (SSO, roles, audit) only matures at top tiers.
Zenrows
Strengths
- Genuinely high success rates on Cloudflare, DataDome, and PerimeterX protected pages, which is the one thing this category is bought for.
- One shared credit balance across retrieval, extraction, browser sessions, and batch jobs, so you are not forecasting four separate meters.
- A permanent free tier with every feature unlocked, which lets you measure real credit consumption against your actual targets before paying.
- Markdown output and an official MCP server make it usable by AI agents without a parsing or integration layer of your own.
Limitations
- Credit multipliers make budgeting genuinely difficult: the same 45,000 credit plan is 45,000 plain pages or 1,800 protected ones, and most people discover the difference after their first month.
- Extract is still in beta and only covers supported site patterns; on anything else you fall back to parsing HTML yourself, which is the maintenance burden the feature exists to remove.
- Premium and JavaScript-rendered calls do not automatically fall back to a cheaper mode when they fail, so your client has to implement the escalation logic itself.
- Sending too many failing requests in a short window can get your API key temporarily blocked by the platform's own abuse protection, which surprises teams that ship without backoff.
Pricing compared
Clay
Two metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise. CRM auto-sync, webhooks, and the HTTP API integration are gated at Growth.
- Free$0
- Launch$167
- Growth$446
- EnterpriseCustom
Clay's effective price is workflow-dependent: well-designed tables deliver coverage and personalization no single vendor matches at any price, while naive configurations burn credits alarmingly. Teams treating credit design as part of the craft consistently report it as the stack's highest-ROI line item.
Zenrows
Credit-based subscription with one shared balance across Fetch, Extract, Browser Sessions, and Batch. Credit cost varies by difficulty: one credit for a plain request, five with JavaScript rendering, ten with premium proxies, twenty-five for a protected page needing both, and 25,000 credits per gigabyte of residential proxy traffic. Plans also step up concurrency, which is often the binding constraint before credits are.
- Free$0
- BuildFrom $19
- LaunchFrom $69
- GrowthFrom $199
- ScaleFrom $549
Priced against the alternative, which is running your own residential proxy contract plus a headless browser fleet plus the engineer who maintains both, Zenrows is straightforwardly cheap at the low end. A team spending nineteen dollars a month to keep an enrichment workflow alive is making an obvious trade. The economics get harder to defend in two places: high-volume crawling of plain HTML, where you are paying an anti-bot premium you do not need, and heavy protected-page work, where the twenty-five credit multiplier compounds fast enough that Scale tier bills arrive sooner than the credit headline suggests. The single shared balance across all four products is a real advantage over vendors that meter each separately, and the permanent free tier makes it possible to measure your own credit burn on your own targets before committing to anything.
Editorial verdict on each
Clay
Clay is the most consequential product in this report: it moved the center of outbound gravity from databases and sequencers to the orchestration layer between them, and its valuation sprint reflects substance, not froth. The costs are honest, a real learning curve and credit economics that punish sloppiness, but teams that invest in the craft get coverage, research, and personalization nothing else assembles. If your outbound has an engineer, this is their instrument.
Read the full Clay profileZenrows
Zenrows does one thing that is hard and does it well: it gets the page back. For a go-to-market team whose differentiating data lives on sites that reject plain HTTP requests, that is worth far more than the nineteen dollars the first paid tier costs, and the permanent free plan means you can prove it against your own targets before spending anything. The 2026 restructuring into Fetch, Extract, Browser Sessions, and Batch on a single shared credit balance is a real improvement in both clarity and budgeting, and the MCP server makes it one of the more practical ways to give an AI agent honest access to the live web. The reservations are specific rather than generic. Credit multipliers mean the headline allowance tells you almost nothing until you know your target mix, Extract is still beta and falls back to hand parsing on unsupported sites, and there is no scheduling or storage layer, so Zenrows is a component and not a pipeline. Buy it as infrastructure, benchmark it on the free tier against the sites you actually care about, and keep a fallback plan for the targets where nothing reaches one hundred percent.
Read the full Zenrows profileClay profile last reviewed 2026-09-26; Zenrows last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.
The best in B2B Data Providers
26 trackedB2B data providers supply the contact and company information (emails, phone numbers, firmographics, and buying signals) that feeds prospecting lists and enrichment workflows.
The largest self-serve contact database in the category, fused with sequencing, data and execution in one product.
Accurate direct dials and a genuinely usable free tier make Lusha the lowest-friction entry point into paid B2B data.
Founded in 2022 and already at 40,000 users, Prospeo shipped AI Search, lookalikes, and an MCP server in 2025 as its database passed 280M leads.
Semantic search over the live web with contact data attached made prospecting a language problem rather than a database subscription.
Signup to verified emails in five minutes with zero configuration, and failed searches cost nothing, so nobody needs training to get value from Anymailfinder.
The best in GTM Engineering
17 trackedGTM engineering tools are the build-it-yourself layer of the go-to-market stack: the workflow automation engines and search APIs that small teams wire into custom prospecting, enrichment, and reporting pipelines instead of buying another point solution.
Roughly eight thousand app connectors and fifteen years of reliability make it the assumed answer whenever two tools need to talk; the catalog is the moat and the verb.
Routers, iterators, and error handlers on a $9 tier: the logic features rivals gate behind higher plans, at the category's lowest per-operation price.
Per-execution pricing, native AI agent nodes, and a free self-hosted edition made it the engine of the DIY enrichment stack, and a reported $2.5B valuation says the market noticed.
Spun out in 2024 to turn any site into LLM ready markdown, Firecrawl added cached scraping, an MCP server, and research indexes built for AI agents.
A point and click recorder produces a working extraction robot in ten to twenty minutes with no code anywhere, backed by 250 plus prebuilt robots.
Frequently asked questions
6 questionsWhat is the difference between Clay and Zenrows?
Complementary far more often than competitive, and the pairing is common enough to be a pattern. Clay is the workflow and enrichment surface where the list lives; Zenrows is what Clay calls when a needed field only exists on a page that blocks HTTP requests. Clay's own scraping steps handle easy targets well, so the honest rule is to add Zenrows only when Clay's built-in retrieval starts returning empty or challenged pages.
Is Clay or Zenrows cheaper?
Clay starts at Free plan; paid from $167/mo billed annually (Launch). Zenrows starts at Free (5,000 credits per month); paid plans from $19 per month, or about $16 per month billed annually. The billing models differ, so the entry price is rarely the whole cost. Clay pricing model: Two metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise. Zenrows pricing model: Credit-based subscription with one shared balance across Fetch, Extract, Browser Sessions, and Batch.
Does Clay or Zenrows have a free plan?
Clay has a free plan. 500 actions and 100 data credits per month, unlimited seats and tables, up to 200 rows per table. Trial terms: 14 days. Zenrows has a free plan. 5,000 credits per month, 5 concurrent requests, every feature unlocked, community support only, no rollover. Trial terms: No time-limited trial; the free plan is permanent and requires no card.
Who should choose Clay?
GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines.
Who should choose Zenrows?
Technical go-to-market operators, data teams, and AI agent builders who need live content from sites that block ordinary requests, and who would rather pay per successful page than run and maintain their own proxy and headless browser infrastructure.
What are the best alternatives to Clay and Zenrows?
SaaSTracker profiles 26 products in B2B Data Providers. The Summer 2026 awards in the category went to Apollo.io (Category Leader), Lusha (Best Value), Prospeo (Momentum). SaaSTracker profiles 17 products in GTM Engineering. The Summer 2026 awards in the category went to Zapier (Category Leader), Make (Best Value), n8n (Momentum). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.
