seolounge
There are two shapes of tool for collecting web data, and teams frequently buy the wrong one because the comparison is usually framed on features rather than on shape.
A general scraping platform is a runtime. It runs arbitrary scrapers against arbitrary sites, bills for compute and proxy usage, and gives one account access to hundreds of targets. A single-source API is the opposite trade: one platform, covered properly, priced per call, with the maintenance burden carried by the provider.
Anyone searching for an apify alternative is usually somewhere in the middle of discovering which of those two they actually needed, and the trigger is nearly always the same: one source became 80% of the workload.
Compute-based and call-based billing fail in opposite directions
A runtime bills for time and resources. That is the honest model for arbitrary code, because the platform genuinely cannot know in advance what a scraper will do. The consequence is that cost tracks efficiency rather than results. A badly written scraper that retries a lot costs more than a well written one collecting the same data, and neither the invoice nor the dashboard tells anybody which situation they are in.
A call-based API bills for outcomes. 1,000 calls costs the same today as it did last month, whatever the code around it looks like. At $0.002 per read call across 25 endpoints, a job’s cost is a straightforward multiplication rather than a forecast.
The trade is real in the other direction too. Per-call pricing offers no way to be clever. A team that can genuinely optimise its way to lower compute cost is giving that lever up.
Maintenance is the cost that never appears in the comparison
The line item nobody prices is upkeep, and on a general platform it is carried by whoever wrote the scraper.
Platform HTML changes. Endpoints move. Rate limiting tightens. Anti-bot measures update. Each of those breaks a custom scraper on a schedule nobody controls, and the fix lands on the team that owns the code, usually at an inconvenient moment.
On a single-source API that work sits with the provider, which is most of what the per-call price buys. It is also exactly why the comparison looks lopsided until maintenance is counted: a scraper is cheap to write and expensive to keep running, and only the first half shows up in a spreadsheet.
For Reddit specifically there is a second dimension. Reddit’s own access model carries a roughly $12,000 annual commercial minimum and an app-review queue, so a self-managed scraper is not simply competing with a per-call price. It is also navigating those two gates, or working around them.
When each one is the right purchase
A general platform is correct when the target list is genuinely wide, when sources change often, when the team wants control over parsing logic, or when compute optimisation is a lever worth pulling.
A single-source API is correct when one platform dominates the workload, when the team would rather not own scraper maintenance, when cost predictability matters more than cost optimisation, and when write access is needed alongside reads. RedditAPIs covers 38 endpoints on that model, with write endpoints at $0.012 per call across 6 of them and the vote endpoint at $0.005, so the boundary between reading and acting is priced explicitly rather than buried.
Plenty of teams end up running both, and that is a reasonable outcome rather than a failure to decide. The platform handles the long tail; the dominant source moves to a dedicated API.
The test worth running
Look at last month’s actual usage and ask what share of it hit a single source. Below roughly a third, a general platform is doing its job. Above two thirds, the workload has quietly become a single-source problem wearing a general-purpose tool.
Then price both routes on the same real workload. Take the honest call count including pagination and retries, multiply at the per-call rate, and compare against the platform’s compute bill for the same job. Teams migrating historical collection should also check what replaced pushshift for reddit data, because that gap is the reason many of these pipelines were rebuilt in the first place.
Conclusion
Choosing between a scraping runtime and a single-source API is not a question about which tool is better. The two are answers to different questions, and the useful signal is what share of the workload has concentrated on one platform.
Teams that check that ratio before switching tend to move for the right reason. Teams that switch on price alone often find they moved a maintenance burden rather than removing one.