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Pricing: guides & tutorials

Scraping costs mix compute, proxies, storage, and concurrency. Apify guides help estimate monthly spend for steady production scraping workloads.

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Scraping costs mix compute, proxies, storage, and concurrency, which makes budgeting tricky. These guides help estimate monthly spend for steady production scraping workloads.

Understanding the cost drivers lets you size jobs and pick proxy types deliberately. Apify guides break down where the money goes. Below you will find pricing and cost-estimation tutorials.

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Buffer Pricing: Per-Channel Cost, Plans, and True Monthly Value

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Buffer's pricing model is unusual. While most social media schedulers charge a flat monthly fee for a bundle of features and a fixed number of channels, Buffer charges per channel. That structure sounds simple but has real implications for what you pay — and it works in your favor at low channel counts.

This guide explains the per-channel model, shows real monthly costs for common channel counts, compares annual vs monthly billing, and tells you which plan is actually right for your situation.

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Buffer Review: Pricing, Features, and Who It's Best For

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Buffer is one of the few social media schedulers that starts useful and stays affordable as you grow. A clean queue-based interface, a free plan that actually works for solo creators, and per-channel pricing that scales predictably — that's the core promise.

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Chatbase Pricing: Free Plan, Credit Limits, and When to Upgrade

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Chatbase looks affordable at first glance — there is a free plan, and the paid tiers start at $40 a month. But the platform runs on a credit-based billing model that is easy to misread, and several features that feel like table stakes (API access, branding removal, advanced integrations) are locked behind specific tiers. This guide explains exactly how message credits work, what you actually get at each price point, where hidden costs appear, and how to pick the right tier for your situation in 2026.

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Bright Data Pricing 2026: All Plans, Rates, and Cost Optimization

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Bright Data charges by bandwidth (GB) for proxies and by request for managed APIs — no single subscription unlocks everything. Residential proxies start at ~$8.40/GB pay-as-you-go and fall to ~$3.00/GB on a committed plan. Web Unlocker runs ~$3 per 1,000 successful responses. The SERP API starts at ~$0.75–$1.50 per 1,000 queries.

This guide covers every product's 2026 pricing, when volume discounts kick in, and which tier to pick for your budget.

⚠️ Pricing last verified March 2026. Check the official Bright Data pricing page before making decisions — rates and plan structures change frequently.

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IPRoyal Pricing 2026: From $1.75/GB, Non-Expiring Traffic

· 13 min read
Yassine El Haddad
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IPRoyal residential proxies start at $7.00/GB for the 1 GB subscription and scale to $1.75/GB at bulk-volume tiers (iproyal.com/residential-proxies) — with the key differentiator that purchased traffic never expires. Datacenter proxies are sold per-IP from $1.39/proxy on the 90-day plan with unlimited bandwidth, and ISP (static residential) starts at $2.40/proxy/month (iproyal.com/pricing).

This guide breaks down every IPRoyal pricing tier — residential, datacenter, ISP, mobile, and sneaker proxies — explains the non-expiring traffic model in depth, and compares costs against Bright Data, Oxylabs, and Smartproxy so you can make an accurate budget decision.

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Frequently asked questions

Frequently Asked Questions

Apify charges based on platform credits consumed by actor runs, storage used, and proxy bandwidth. Credits are consumed based on actor RAM and CPU time. The free tier includes $5 of monthly credits. Paid plans start at $49/month and scale with usage. Store actors may add their own per-record or per-run charges on top of platform costs.

Run a test with 100 representative URLs and check the actor run cost in the console. Multiply by your expected total URL volume. Add proxy costs separately if using Apify Proxy. For browser actors, cost is higher per URL than HTTP actors—often 10x. Use the Apify cost calculator as a starting point and adjust from real test data.

Browser actors consume 5-20x more compute credits than HTTP actors for the same number of pages. If a site can be scraped with plain HTTP or by calling its JSON API, avoid launching a browser. Benchmark both approaches on a sample; many sites that appear to need browsers actually return data via XHR calls that are simpler to consume.

Use HTTP crawlers where possible instead of browsers. Limit max items per run to control cost. Cache previously scraped records and skip re-fetching unchanged pages. Use incremental crawling that only processes new or changed URLs. Optimize memory allocation—actors that declare 1GB but use 200MB are paying for unused capacity.