Browse AI pricing

About

Browse AI is a no-code web scraping and website-monitoring platform that lets anyone turn any of the public web’s roughly 1.8 billion websites into a structured dataset or live API — without writing code. Users train a “robot” (formerly called a task) by recording clicks through the Browse AI browser extension or by starting from a prebuilt robot; the robot then extracts structured data, captures screenshots, and monitors pages for changes on a schedule. The platform leans on AI to self-heal when a target site changes layout, rotate geolocated residential proxies, and solve CAPTCHAs so automations keep running.

The company markets to a broad audience: individual analysts and founders scraping leads or prices, SMB and mid-market teams building data pipelines, and enterprises that want data delivered with SLAs and zero operational overhead. Common use cases span lead generation, e-commerce and price monitoring, real-estate listings, financial research, and competitor/market intelligence. Browse AI states that 770,000+ individuals and teams use the product, and it carries SOC 2 Type II, GDPR, and CCPA compliance for security-conscious buyers.

Browse AI competes with both no-code scrapers (Octoparse, ParseHub, Apify-style platforms) and managed data-as-a-service providers. Its differentiation is running two motions off a single engine: a low-friction self-serve credit product that starts free, and a sales-led managed-scraping service (the Premium plan, from $500/month) that handles setup, maintenance, and delivery for enterprises with no technical team. The result is a freemium funnel that lands individuals and an expansion path that captures enterprise data budgets.

Pricing summary : How Browse AI’s credit-pool model meters scraping

Browse AI uses a freemium hybrid model built on a credit-based billing pool with three dimensions:

1. Plan fee (fixed): A monthly or annual subscription that bundles a credit allotment and seat/website limits. Monthly: Free ($0), Personal ($48/mo), Professional ($87/mo). Annual prepay: Personal $19/mo and Professional $69/mo, with all credits delivered upfront.
2. Credits (usage meter): Each credit extracts 10 rows of data or captures one screenshot. Plans include a pool (50/month free, 2,000/month Personal, 5,000/month Professional with higher tiers up to 30,000), and usage above the pool is billed per credit — roughly $0.030 (Personal) and $0.022–$0.017 (Professional) on monthly billing, dropping to ~$0.024 and $0.017–$0.013 on annual.
3. Websites (seat-like meter): Each plan caps the number of distinct websites; extra websites are an add-on at $5/mo (Personal) or $3/mo (Professional) on monthly billing.

Above self-serve sits the Premium managed service — a sales-led plan starting at $500/month billed annually with 600,000+ credits/year, custom limits, and a dedicated account manager.

What makes this different: Browse AI ties its annual discount to a credit-delivery change — annual buyers get every credit upfront rather than metered monthly — turning the freemium annual upsell into both a cash-flow and a usage-flexibility win, a hybrid pricing twist most credit-pool vendors don’t offer.

Pricing by product

Browse AI platform (self-serve plans — monthly billing)

Browse AI platform (self-serve plans — annual prepay)

Managed web scraping service (Premium — sales-led)

Sales motions across products: PLG / self-serve for Free, Personal, and Professional; sales-led for Premium managed scraping and setup services.

Per-credit overage rates

A credit equals 10 extracted rows or one screenshot. Runs on Premium-flagged sites (those needing residential proxies or CAPTCHA solving) carry a minimum credit cost of 2 to 10 per run, so effective cost-per-task varies with target-site difficulty.

Hidden costs : When credit burn and premium-site multipliers exceed the plan fee

The advertised plan price understates what monitoring-heavy or anti-bot-site users actually pay, because credits deplete fast and premium sites multiply each run’s cost. Two real-world examples:

Archetype 1 — Price monitor on 500 product detail pages, checked every 3 days

Once monitoring frequency or page count grows past the included 5,000 credits, the per-credit overage becomes the dominant line item — usage, not the seat fee, drives the bill.

Archetype 2 — Scraping anti-bot sites that require premium proxies

Because premium-proxy sites carry a 2–10 credit minimum per run, the same task can cost 5x more than on an unprotected site — a hidden multiplier that the headline credit allotment hides.

Want to estimate your own Browse AI bill? Use the Browse AI pricing calculator to model your monthly cost based on credits consumed, monitoring frequency, and premium-site multipliers.

Pricing evolution : From credit-pool self-serve to a managed-service expansion motion

Cadence

Tracked range: 2026 Q2 only (first capture). Historical Wayback snapshots not yet backfilled; earlier cadence to be established on subsequent refresh runs.

Notable changes

• 2026-06-04 — First verified capture of the four-plan structure: Free ($0/50 credits), Personal ($48/mo or $19/mo annual), Professional ($87/mo or $69/mo annual), and the Premium managed service (from $500/mo billed annually). Annual prepay confirmed to bundle a 20% discount, all-credits-upfront delivery, and lower per-credit overage rates.

What’s unique : Credit-delivery annual upsell and a dual self-serve plus managed motion

1. Annual prepay changes credit delivery, not just price. Most credit-pool vendors meter credits monthly regardless of billing term. Browse AI delivers the entire year’s credits upfront on annual plans (e.g. 60,000 credits/year for Professional) — so annual buyers get both a 20% discount and the freedom to spend credits in bursts rather than within a monthly reset.

2. One engine, two go-to-market motions. The same AI scraping core powers a self-serve product that starts at $0 and a sales-led managed service starting at $500/month. This lets Browse AI land individuals via freemium and expand into enterprise data budgets without rebuilding the product.

3. Difficulty-priced credits via the “Premium site” multiplier. Sites that fight bots cost 2–10 credits per run instead of 1, so the meter automatically charges more for harder extractions. The credit abstraction lets Browse AI pass through the real cost of residential proxies and CAPTCHA solving without exposing those line items.

4. Websites as a second meter alongside credits. Beyond the credit pool, each plan caps distinct websites and sells extra ones as a per-website add-on ($3–$5/mo). This gives Browse AI a second expansion lever that scales with breadth of sources, not just volume of extractions.

Strengths & weaknesses

Billing UX : Plan toggles, credit tiers, and self-serve controls

• Monthly/Annual billing toggle — the pricing page switches every plan between monthly and annual prepay, recomputing headline prices ($48→$19, $87→$69), credit allotments (monthly pool vs. annual upfront), overage rates, and per-website add-on fees in place.
• Per-plan credit tier selector — Personal and Professional expose a dropdown of credit allotments (e.g. Professional 5,000 / 10,000 / 20,000 / 30,000 per month; 60,000 / 120,000 / 240,000 / 360,000 per year), letting buyers size the pool without changing plans.
• Stripe checkout, USD only — payments run through Stripe and accept all major credit cards, but billing is United States Dollars only with no local-currency option.
• Credit reset on cycle end — unused credits reset at the end of each billing cycle and do not carry over, except that an upgrade mid-cycle adds unused credits on top of the new plan’s allotment for the upgraded plan’s duration.
• “Book a call” / “Talk to sales” gating for Premium — the managed Premium plan is quoted via a 30-minute solutions-specialist working session rather than self-serve checkout, with custom limits scoped on the call.
• 60-day satisfaction refund — a published refund policy offers a full refund for up to 60 days after purchase under stated conditions, plus discounts for non-profits, education, and startups on request.

Strategic wins : Decisions that compound acquisition and expansion

1. A concrete, explainable credit definition

By defining one credit as “10 rows or one screenshot,” Browse AI gives buyers a unit they can reason about before they commit — a rarity among deliberately opaque credit systems. This transparency lowers the barrier to the freemium trial and reduces post-purchase bill shock, echoing the clarity advantage discussed in our usage-based pricing introduction.

2. Annual prepay that delivers credits upfront

Tying the annual discount to upfront credit delivery turns a routine 20% discount into a genuine flexibility upgrade. It pulls cash forward for Browse AI while letting power users spend in bursts — a smart twist on the credit-based billing playbook covered in our billing-cycles guide.

3. A managed-service expansion lane off the same product

Layering a $500+/mo sales-led service on top of self-serve lets Browse AI capture enterprise data budgets that would never convert through self-checkout, without building a separate product. This mirrors the land-and-expand patterns we track across the pricing blueprint, where a hybrid pricing ladder bridges individuals to enterprises.

Areas to improve : Closing the predictability and packaging gaps

1. The $87 → $500 cliff needs a middle rung

There is no team/business tier between Professional ($87/mo) and Premium (from $500/mo). A self-serve “Business” plan in the $200–$400 range would catch growing teams that have outgrown Professional’s credits but aren’t ready for a sales-led managed contract. The fix: add a higher self-serve credit tier with SSO and more seats.

2. Make premium-site costs predictable before the run

The 2–10 credit multiplier on anti-bot sites means identical tasks cost wildly different amounts, and users only learn after the fact. A pre-run cost estimate (showing whether a target is premium-flagged and the expected credit cost) would reduce surprise overage — the kind of transparency we advocate in our usage-based pricing guide.

3. Offer credit rollover or a soft cap

Because credits reset with no rollover, buyers who under-use one month forfeit paid capacity, which pushes them toward under-buying. A limited rollover or a usage-based soft cap would smooth the experience and likely lift willingness to commit to higher tiers.

Key takeaways

1. Define your billing unit in the customer’s terms. Browse AI’s “10 rows or one screenshot per credit” is concrete enough that buyers can estimate cost before signing up — clarity that de-risks the freemium trial.
2. Tie discounts to mechanics, not just price. Delivering all annual credits upfront makes the 20% annual discount feel like added flexibility, not just a cheaper rate, improving the upsell’s perceived value.
3. Run multiple motions off one engine. A single scraping core supports both a $0 self-serve funnel and a $500+/mo managed service — the same product, two very different buyers.
4. Use a second meter for breadth. Capping websites and selling extras alongside the credit pool lets the vendor monetize source breadth independently of extraction volume.
5. Watch for packaging cliffs. A 6x jump from the top self-serve plan to the entry managed plan leaves growing teams stranded; a middle tier protects expansion revenue.

UBP implications

1. Credit abstraction can encode difficulty-based pricing. By charging 2–10 credits for hard, anti-bot extractions, Browse AI passes through variable infrastructure cost without exposing it — a model for any usage meter where unit cost varies by workload.
2. Upfront credit delivery is an underused annual-commitment lever. Decoupling credit delivery from the monthly reset on annual plans makes commitment more attractive without discounting further — a tactic credit-pool vendors can copy.
3. Freemium plus managed-service is a durable hybrid for data products. When a product can be both self-served and done-for-you, pairing a free entry with a sales-led premium tier captures the full spectrum from individual to enterprise on one cost base.

Sources

• Browse AI pricing page (accessed 2026-06-04)
• Browse AI managed web scraping services (accessed 2026-06-04)
• Browse AI sales consultation / service page (accessed 2026-06-04)
• Browse AI help center (accessed 2026-06-04)
• Browse AI blog (accessed 2026-06-04)

Bottom line

Browse AI packages a no-code scraping engine into a transparent, freemium credit-pool model — concrete credits, a real free tier, and an annual prepay that delivers a year of credits upfront — then bolts on a $500+/mo managed service to capture enterprise data budgets off the same core. The main gaps are a steep cliff between the $87 self-serve top tier and the $500 managed entry, and the hard-to-predict premium-site credit multiplier.

Want to compare Browse AI against other web-data and scraping pricing? Browse the pricing blueprint.

Pricing timeline : Major events on a vertical axis

Each milestone below corresponds to a public pricing change, product launch, or material adjustment. Major events use a filled marker; minor adjustments use a faded one.

Current plan structure: Free / Personal / Professional / Premium

Jun 2026

Free ($0, 50 credits/mo), Personal ($48/mo or $19/mo annual, 2,000 credits), Professional ($87/mo or $69/mo annual, 5,000 credits), and Premium managed service from $500/mo billed annually. Annual prepay = 20% off plus all credits upfront and lower per-credit overage.