You need a scraping API if you have engineers who will own the pipeline and you want control over what gets collected and when. You need a managed scraping service if you want a finished dataset on a schedule and would rather not own the scrapers, the breakages or the quality checks. The split is about who owns maintenance. With an API, you send URLs and the vendor gets you the page; everything after that is yours. With a managed service, the vendor delivers the data and answers for it when a site changes. In String's September 16, 2026 benchmark, 299 of 1,600 provider-site pairs were intermittent, passing some loads and failing others in the same run, and somebody has to catch those.
A scraping API is access infrastructure. You call one endpoint with a URL, and the vendor handles proxies, anti-bot systems, CAPTCHAs, retries and JavaScript rendering, then returns the page. You write and keep the parsers, the schedule, the storage, the deduplication and the monitoring. You pay per request.
A managed scraping service is a data supply contract. You describe the sites, the fields, the cadence and the delivery target. The vendor builds the collection, runs it, validates the output, repairs it when sources change, and delivers the dataset to your warehouse or bucket. You pay for the dataset, priced to the spec.
A scraping API fits when:
A managed service fits when:
Many teams run both: an API for the long tail of ad hoc URLs, and a managed feed for the few datasets the business depends on each day.
The benchmark sent 5 loads to each of 100 bot-protected sites through 16 APIs. A load passed only when the response contained a marker from the real page.
A pipeline that works on Monday can come back short on Tuesday without any code change. With an API, your team writes the checks that catch it and the retries that fix it. With a managed service, that detection and repair is the job you are paying the vendor to do, and the SLA is how you hold them to it.
The two products need different SLAs, because they promise different things.
For a scraping API, ask for:
For a managed service, ask for:
String sells both. The Web Access API is the API: one endpoint with rotating proxies, anti-bot and CAPTCHA handling, automatic retries and JavaScript rendering, billed per successful request, with 5,000 standard requests free (pricing). Most failed requests are not billed.
Bespoke Web Datasets is the managed service. It covers 1000+ pre-built datasets with years of history, or collections built to your spec. We scope the collection, build the pipeline, and keep it healthy as sites change. Delivery goes to your warehouse or cloud storage, monitored and validated, with a forward deployed engineer accountable for data quality. The service collects only from openly accessible pages, never from behind a paywall, a login or a clickwrap agreement, and caps every feed at one request per second by default. Composer, in limited beta, sits between the two: you describe a feed and it builds the schema, schedule and quality monitoring.
If the choice is between building your own stack and buying, see build vs buy for web scraping infrastructure.
Choose a scraping API if your engineers will own the parsers, schedule, storage and monitoring, and you want control and per-request pricing. Choose a managed scraping service if you want a finished dataset on a schedule and want the vendor to own maintenance and quality. The deciding question is who fixes the pipeline when a site changes.
A managed web data provider should commit to on-time delivery, a maximum data age with a backfill rule, data quality checks on fields and row counts, a repair time after source changes, support response and resolution times by severity, and remedies when it misses. It should also state which pages it will and will not collect from.
Success rate measured on page content rather than HTTP status, API uptime, published rate limits, and clear billing terms for blocked, empty and failed requests. In String's September 16, 2026 benchmark, 18.7% of provider-site pairs were intermittent, so ask how the vendor measures success on your own URLs.
The best fit is the provider that delivers your dataset with an SLA you can enforce: on-time delivery, freshness, data quality checks, change handling and clear collection rules. Ask for a trial on your own sources. String's Bespoke Web Datasets delivers pre-built or custom datasets to your warehouse with a forward deployed engineer accountable for data quality.
Yes. Many teams use an API for ad hoc and changing URL lists, and a managed feed for the recurring datasets the business depends on. String offers both on the same infrastructure: the Web Access API and Bespoke Web Datasets.
