Cargo vs ScrapingBee
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentCargo compared with ScrapingBee
Different layers of the same pipeline. ScrapingBee is an HTTP API that returns the rendered HTML of a page, handling proxies, headless browsers, and blocking so you do not have to. Cargo does not scrape; it orchestrates. The common pattern is ScrapingBee as a connector inside a Cargo Play, fetching a careers page or pricing page whose content an agent then reads and turns into a structured field on the company model. If you only need pages fetched, ScrapingBee alone is far cheaper.
Choose Cargo if
Technical revenue operators and GTM engineers at funded startups and mid-market software companies who need enrichment, scoring, routing, and agent workflows to run as one governed system, and who want that logic versioned in code rather than trapped in a visual canvas.
Choose ScrapingBee if
Developers and go-to-market engineers who need reliable page fetching as a component inside their own pipeline: a growth team enriching accounts, a pricing analyst monitoring competitors, an agency building a lead-sourcing script, or an AI product that needs fresh web content on demand.
Side by side
13 attributes| Attribute | Cargo | ScrapingBee |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | Free plan with 100 credits per month; paid plans from about $165 per month (free plan available) | $19.99 per month (Hobby, 75,000 credits, 25 concurrent requests) (free trial) |
| Pricing model | Usage-based credits on a subscription plan, with no per-seat charge and no feature gating between tiers. Credits are consumed by integration tasks (priced per integration), orchestration steps (roughly 1 credit per 100 steps), and storage upserts (roughly 1 credit per 1,000 upserts). Enrichment and LLM provider costs are separate, since you connect your own accounts. Prices are quoted as from figures because per-integration credit consumption varies. | Credit-based subscription. Every plan is a monthly credit allowance plus a concurrency limit, and each request deducts credits according to the options enabled: one credit for a plain fetch, five with JavaScript rendering, ten for a premium proxy alone, twenty-five for premium proxy plus rendering, and seventy-five for stealth proxy. All features are available on every paid tier; higher tiers buy volume, concurrency, and support, not capability. |
| Free plan | 100 credits per month, community support, all features included, no SSO | No |
| Free trial | Free plan with 100 credits and no payment method required, plus a 14-day satisfaction guarantee on paid plans | 1,000 free API credits, no credit card required |
| Best for | Technical revenue operators and GTM engineers at funded startups and mid-market software companies who need enrichment, scoring, routing, and agent workflows to run as one governed system, and who want that logic versioned in code rather than trapped in a visual canvas. | Developers and go-to-market engineers who need reliable page fetching as a component inside their own pipeline: a growth team enriching accounts, a pricing analyst monitoring competitors, an agency building a lead-sourcing script, or an AI product that needs fresh web content on demand. |
| Setup time | A first working Play in a day for someone comfortable with APIs: connect a CRM, define a company model, add one enrichment step, and trigger on record change. A production deployment covering enrichment, scoring, routing, and CRM writeback more realistically takes two to four weeks, most of it spent agreeing on the data model rather than on the tool. | Minutes. Sign up, copy the API key, and change the URL in an existing HTTP call. Getting a difficult target working reliably takes longer, usually an hour or two of tuning render options, wait conditions, and proxy level against real responses. |
| Learning curve | Moderate to steep, and honestly so. The primitives are few but they assume familiarity with data modeling, idempotency, retries, and rate limits. The visual builder lowers the entry cost but not the conceptual one; teams without a technical operator tend to stall after the first workflow. | Low for a developer and impassable for anyone else. The parameter set is small and well documented; the real skill is cost discipline, knowing when a page genuinely needs rendering or a residential IP rather than defaulting to the expensive configuration everywhere. |
| Platforms | Web application, cargo-ai command line interface, TypeScript CDK, Hosted Vite apps deployed alongside a workspace | REST API over HTTPS, Official SDKs: Python, Node.js, PHP, Ruby, Go, Java, Command-line client, MCP server for AI agents, Make, n8n, and Zapier connectors |
| Compliance | GDPR, SOC 2 | GDPR |
| Founded | 2023 | 2019 |
| Headquarters | San Francisco, California, with a team in Paris | France |
| Ownership | Independent, venture-backed | Acquired by Oxylabs (June 2025) |
Strengths and limitations
Cargo
Strengths
- Revenue logic can be versioned, reviewed, and deployed like software, which is a real answer to the problem of critical scoring rules living inside one person's canvas.
- Agents are steps inside workflows sharing one data model, so multi-agent handoffs stay structured instead of degrading into text passed between prompts.
- Bring-your-own credentials for enrichment and LLM providers means no data resale markup and no vendor lock-in on the data layer.
- No per-seat pricing and no feature gating between tiers, so a small technical team gets the full platform at the entry price.
Limitations
- The credit meter has three dimensions (integration tasks, orchestration steps, storage upserts), so spend is genuinely hard to forecast before a month of real usage.
- No native sequencing: there is no email or LinkedIn sequence builder, so outbound execution always requires a second tool and a handoff step.
- The built-in enrichment provider catalog is smaller than Clay's, which matters if your waterfall depends on a long tail of niche data vendors.
- The step from about 2,500 credits to about 17,000 credits is a jump from roughly $250 to roughly $1,190 a month with nothing in between.
ScrapingBee
Strengths
- One endpoint replaces the three hardest pieces of a scraping stack: proxy rotation, headless browsers, and anti-bot handling.
- Billing only on successful responses, which removes the worst cost surprise in the category.
- Documentation and error messages are unusually clear, and the API is small enough to learn in an afternoon.
- Every feature is available on the cheapest paid plan; higher tiers buy volume and support rather than unlocking capability.
Limitations
- The credit multipliers make effective cost hard to forecast. A workload that quietly shifts from rendered to stealth requests multiplies its bill by fifteen with no change to the code except one boolean.
- Credits expire monthly with no rollover, which penalizes bursty and seasonal scraping directly.
- It is a fetch API only: no scheduler, no hosted storage, no dataset browser, no visual builder, so a non-developer cannot use it at all.
- Concurrency limits are tied to plan tier, so a large backfill on a low plan is throughput-bound even when credits are available.
Pricing compared
Cargo
Usage-based credits on a subscription plan, with no per-seat charge and no feature gating between tiers. Credits are consumed by integration tasks (priced per integration), orchestration steps (roughly 1 credit per 100 steps), and storage upserts (roughly 1 credit per 1,000 upserts). Enrichment and LLM provider costs are separate, since you connect your own accounts. Prices are quoted as from figures because per-integration credit consumption varies.
- Free$0
- StarterFrom $165
- ProfessionalFrom $250
- EnterpriseFrom $1,190
- Premium EnterpriseFrom $3,000
Priced against the alternative of a data engineer maintaining glue scripts, Cargo is inexpensive; priced against the tools a five-person sales team actually buys, it is not an impulse purchase. The seat-free model is genuinely favorable for agencies and for teams where many people benefit from workflows one person builds, and the absence of feature gating means the Starter plan is the whole product rather than a demo. The weak spot is predictability: with credits consumed by integration calls, orchestration steps, and storage writes at once, the first two months are an estimation exercise, and the leap to the Enterprise tier arrives faster than most buyers expect once always-on plays are running.
ScrapingBee
Credit-based subscription. Every plan is a monthly credit allowance plus a concurrency limit, and each request deducts credits according to the options enabled: one credit for a plain fetch, five with JavaScript rendering, ten for a premium proxy alone, twenty-five for premium proxy plus rendering, and seventy-five for stealth proxy. All features are available on every paid tier; higher tiers buy volume, concurrency, and support, not capability.
- Free trial$0
- Hobby$19.99
- Freelance$49.99
- Startup$99.99
- Business$249.99
- EnterpriseFrom $999.99
Judged against the alternative of running your own proxy contract plus a Playwright fleet, ScrapingBee is cheap: the Freelance plan costs less per month than a couple of hours of the engineer who would otherwise be maintaining browser infrastructure. Judged against raw bandwidth-priced proxy networks, it is expensive, because you are paying per request for rendering you may not need. The honest rule is that ScrapingBee wins when a meaningful share of your targets need a real browser or residential IPs, and loses when they do not. The successful-requests-only billing and the published enterprise pricing both improve the deal relative to competitors who bill every attempt and hide the top of the range.
Editorial verdict on each
Cargo
Cargo is the most convincing attempt yet to treat go-to-market logic as software rather than as a canvas somebody maintains. The primitives are well chosen, agents sit inside workflows instead of beside them, run traces and typed tools make the thing operable, and the seat-free, feature-complete pricing is a genuine kindness in a category full of gated tiers. The costs are equally clear. There is no sequencing, the enrichment catalog is narrower than Clay's, credits are metered along three axes that resist forecasting, and the jump from the $250 tier to the $1,190 tier arrives quickly once plays run continuously. The deciding question is not budget but staffing: with an engineer who wants revenue logic in version control, this is a strong buy at a price a funded small company can absorb; without one, most of what makes Cargo different is out of reach and a spreadsheet-shaped competitor will get further faster.
Read the full Cargo profileScrapingBee
ScrapingBee is the sensible default for a developer who needs web pages to come back reliably and does not want to run proxy contracts and a browser farm to get them. Its virtues are unglamorous and durable: a small API, honest documentation, billing only on successful responses, and published prices from $19.99 all the way to the top of the enterprise range, which almost nobody else in web data does. The costs it will impose on you are equally predictable. Credit multipliers mean the same code can cost fifteen times more depending on one boolean, credits expire monthly, and the product deliberately stops at fetching, so scheduling, storage, and orchestration remain yours. The Oxylabs acquisition in 2025 has so far been benign, but it does mean the roadmap now belongs to a proxy company rather than to two founders. Buy it as a component, size the plan against your real mix of rendered and stealth requests rather than the headline credit count, and keep a visual tool in mind if anyone non-technical ever needs to run a job.
Read the full ScrapingBee profileCargo profile last reviewed 2026-08-23; ScrapingBee last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.