Bright Data alternative

Two different jobs

Bright Data sells you the means to collect data at scale, plus prepared datasets. That means proxies, unblocking infrastructure, sometimes writing and maintaining collection logic, and usually a commercial conversation before you start.

We sell one thing: a REST endpoint that returns JSON. There is no proxy configuration, no collector to maintain, no dataset scheduling. You also cannot use us to collect anything outside LinkedIn, and we do not deliver bulk files.

If you are already running collection infrastructure across many sources, adding a single-source API may be redundant. If you just want LinkedIn data in your application, standing up collection infrastructure is a lot of operating cost for one source.

Getting started, honestly compared

Ours: sign up, get a key, make a call. Free trial balance, no card, no conversation.

Theirs: for the enterprise offering, typically an account manager, a compliance review and a contract. That process is slow if you are one engineer with a deadline, and it is genuinely valuable if you are a regulated company that needs a DPA, an SLA and a named contact when something breaks.

Neither of those is a criticism. They serve procurement; we serve a developer with a credit card.

When you should not choose us

Choose them if you need millions of records delivered as a file, coverage across many sites, a contractual uptime SLA, or an enterprise compliance package. We publish live health at /status and do not charge for failed calls, but we do not offer a contractual uptime guarantee on self-serve, and we say so on the pricing page rather than in a footnote.

Choose us if you want one endpoint, per-call pricing you can read off the response, and to be running this afternoon.

The maintenance you are buying out of

The argument for infrastructure is control. The argument against is that control means ownership, and ownership here is continuous rather than one-off.

Page structures change without notice. When they do, a collector does not usually fail loudly — it returns records with plausible-looking empty fields, which flow into your database and are discovered weeks later by someone wondering why a segment looks wrong. Detecting that requires monitoring you also have to build.

Then there is scale: proxy pools, retry logic, rate shaping, and the operational on-call that comes with all of it.

None of that is an argument against Bright Data — it is the cost of the flexibility you are buying, and for a team collecting from twenty sources it is obviously worth paying. For a team that needs one source, it is a lot of permanent engineering to own in exchange for an endpoint someone else could maintain.