There's a specific kind of engineering optimism I recognize instantly now, because I've had it myself: "It's just an HTTP request."
You need follower counts for a client dashboard. Or post metrics for a creator analytics tool. Or video data to train something. The platform serves that data to a browser, publicly, to anyone who visits. So it's just an HTTP request, and you'll have it working before lunch.
And you will. That's the trap. The first version genuinely does work before lunch. What nobody prices in is the second year of that decision.
The four costs that don't appear in the estimate
When engineers estimate "build a scraper," they estimate the extraction logic. That's the one part that's actually easy. Here's what sits underneath it.
The maintenance tax is permanent and unpredictable. Scraping infrastructure isn't a project that ships — it's a subscription you pay in engineering hours, and the bill arrives on the platform's schedule, not yours. A markup change on a Saturday is your Saturday. There's no version pinning, no deprecation notice, no changelog. Worse, the maintenance is bursty: months of quiet, then a week where nothing works and everything is on fire, always coinciding with something else you'd committed to.
The infrastructure isn't the fun kind. Proxy pools, session management, request pacing, retry orchestration, geographic distribution. None of this is your product. None of it differentiates you. All of it needs monitoring, and all of it degrades silently — which is the expensive kind of degradation, because you find out from a customer rather than from an alert.
Nobody owns it. This is the one that actually kills teams. Scraping infrastructure has no natural owner. It's not the backend team's roadmap, it's not the data team's roadmap, it's a thing someone built once. So it rots between sprints until it breaks loudly, then gets a panicked patch from whoever is free, and the patch adds to the rot. Two years in, you have a critical dependency that three people are afraid of.
The opportunity cost is invisible. Every hour on proxy rotation is an hour not spent on the thing your users actually pay for. That trade never shows up in a ticket, so it never gets debated — it just quietly happens for a couple of years.
The build-versus-buy question isn't "can we build this." You can. It's "do we want to own this forever, and is owning it worth anything to our customers." For most teams the answer to the second half is no. Nobody has ever chosen a product because its vendor maintains their own proxy pool.
What "developer-first" means when it isn't a slogan
Every API in this category says "built for developers." Here's the concrete version — the specific decisions, and what each one is a reaction to.
You get a key in under a minute, and nobody has to approve you. No sales call, no demo request, no sandbox tier that behaves differently from production, no waiting for a human to unlock your account. Sign up, key appears, you're live. This exists because the standard experience in enterprise data is a two-week procurement dance before you can determine whether the thing even returns the field you need. You should be able to answer that in five minutes, for free, before anyone talks about money.
Authentication is one header. Pass a key, get JSON. No OAuth handshake, no SDK to install, no client library that lags three versions behind the API. If your language can make an HTTP request — curl, Python, Node, Go, PHP, a Bash script, a spreadsheet macro — you're already compatible. SDKs are a convenience that becomes a liability the moment they're under-maintained; a plain HTTP contract never is.
Pricing is one request, one credit. Flat. No field-level multipliers, no tiered math where a "heavy" endpoint silently costs six times more, no bill that requires a spreadsheet to predict. Credits don't expire and there's no subscription, so a month where you don't use it costs nothing. This is a direct reaction to the standard model in this space, where the pricing page is optimized to make cost comparison hard.
There are no artificial concurrency caps. Run one request or a thousand in parallel. Your credit balance is the only limit — no per-minute throttle bolted on to push you toward a higher tier. Throttles in this category are usually a business decision dressed as a technical constraint, and you can tell because the limit is always exactly one tier below where you are.
Responses are flat, typed, and boringly consistent. Predictable schemas across every endpoint, an OpenAPI schema you can generate types from, and no undocumented fields quietly changing shape in production. Boring is the highest compliment you can pay a response body. And nothing is cached — every call is a live fetch, so engagement numbers reflect the moment you asked, not the moment someone else asked.
Support, honestly described
I'm skeptical of support claims in general, so let me describe the actual shape of it rather than promising a number I'd have to defend.
Support is handled by the people who wrote the API. Not a tier-one script, not a chatbot that suggests clearing your cache. When you report that an endpoint returns something unexpected for a particular account, that goes to someone who can read the parser and fix it — which is the difference between "we've escalated your ticket" and a fix.
Support scales with the plan: email support on Starter, priority on Growth and Pro, dedicated on Scale. But the free tier isn't a support desert either — if something is genuinely broken, it's broken for everyone, and hearing about it early is worth more to me than the tier you're on.
The most useful thing I can say about support is that the docs are meant to make it unnecessary. Full endpoint reference, real request and response examples, OpenAPI schema. If you have to open a ticket to figure out what a field means, that's a documentation bug and I'd rather fix the docs than answer the ticket twice.
Where this argument breaks down
Since I'm the one selling, here's the honest boundary.
Build it yourself if scraping is your product. If your differentiation is data acquisition — if that's the thing customers are buying — then owning the pipeline is owning your moat. Don't outsource your moat.
Build it yourself if your volume is enormous and steady. Per-request pricing is excellent at low and medium volume and stops being obviously right at very high sustained volume. Do the arithmetic. If dedicated infrastructure comes out cheaper at your scale, that's the correct answer and I'd rather you run the numbers than take my word for it.
Build it yourself if your requirements are unusual. We cover Instagram, TikTok, and YouTube, and go deep on each rather than shipping a shallow wrapper over twenty platforms. If you need a platform we don't support, or a field we don't return, a managed API is the wrong shape for you today. X, LinkedIn, Reddit, and Pinterest are in progress, but "in progress" isn't something you can build a roadmap on.
And one boundary that isn't about build-versus-buy at all: this is public data only. No login bypass, no private accounts, no data behind an authentication wall. If your use case needs any of that, we're not the vendor, and I'd think carefully about who is.
For everyone else — the majority, in my experience — the calculation is simpler than it looks. The question was never whether you're capable of building it. It's whether the fifth time you rebuild it will feel like a better use of the week than shipping the feature your users have been asking for.
There are 100 free credits and no card required, which is enough to answer that for yourself without talking to me: scrapingisnotacrime.com.
I'm curious where other people landed on this. If you built your own and don't regret it, I'd like to hear what made it worth it — that's genuinely more useful to me than agreement.
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