Bright Data is the enterprise default in web scraping — a proxy network plus scraper APIs plus prepackaged datasets. When someone says "we need scraping infrastructure," this is usually the first name.
It's also the one most people searching for alternatives are trying to get away from, and the reason is almost always the same: price at small volume.
What it costs
Bright Data sells several products with different meters. Read on
brightdata.com/pricing on 26 September 2026:
| Product | List | Shown as | Meter |
|---|---|---|---|
| Residential Proxies | $2.50 | per GB | |
| Web Scraper API | $0.75 | per 1k records | |
| Datasets | $250 | per 100K records | |
| Scraper Studio | $1 | per 1k requests | |
| Data Firehose | $0.20 | per 1k HTML | |
| Datacenter proxies | $0.90 | per IP | |
| ISP proxies | $1.30 | per IP |
⚠️ The two that matter to a small buyer are both promotional. Residential Proxies and the Web Scraper API each carry a "50% OFF" badge. The page states no expiry date, no minimum commitment and no trial terms — so the price you plan against is not necessarily the price you renew at.
⚠️ Why the struck-through prices are here now, when an earlier version
of this page refused to quote them. The objection was sound: a page that
quotes a promotional rate becomes false on its own, without anyone
editing anything. What was missing was a way to say when a price was
true. The conferido field in this page's front matter is that — every
figure above is "what the page showed on 26 September 2026", not "what
Bright Data charges". Dated, not asserted.
Commitment tiers, read 5 September 2026 and NOT re-checked today:
| Plan | Monthly | Included | Effective /GB |
|---|---|---|---|
| Pay-as-you-go | — | — | $8 |
| Starter | $499 | 141 GB | $7 |
| Professional | $999 | 332 GB | $6 |
| Enterprise | $1,999 | 798 GB | $5 |
These did not appear in the 26 September reading, and absence from a reading is not absence of the fact — they may still exist and simply not have been looked at. Treat them as of 5 September until someone checks.
The per-GB trap at small volume
Per-gigabyte pricing is honest and it scales beautifully — downward. The problem is the other direction.
At the $8/GB pay-as-you-go rate, a scraping job that pulls 3 GB of pages costs $24. Doing that weekly is nearly $100/month before you've built anything.
And the tiers don't rescue a small user: the cheapest commitment is $499/month. To reach the $7/GB rate you have to buy 141 GB, whether or not you use them.
That's not Bright Data being expensive. It's per-GB billing meeting a small workload — the model is designed for people moving terabytes, and it's genuinely cheap for them.
Who it's for
Good fit at real scale. Once you're committing $1,999/month for 798 GB, the per-GB rate beats anything else here.
Good fit if you need proxy infrastructure itself — rotating residential and mobile IPs across many countries, with the compliance paperwork enterprise buyers require.
Good fit if you need a contract, an SLA, and someone to call. That's genuinely worth money, and most of the cheaper options here have none of it.
Bad fit if you're one person testing an idea. The entry price is built for a procurement department.
Bad fit if you want structured social data rather than raw pages. Bright Data will hand you HTML and proxies; turning sixty platforms into one response shape is the job the social-specific APIs do for you.
Where the alternatives actually win
| Better at | |
|---|---|
| Apify | $19/month entry, 80,000+ ready-made scrapers. You adapt something instead of building. Credits expire monthly, which is the catch |
| ScrapingBee | $19–49/month for a simple render-and-return API. Far less powerful, far less to learn |
| ScrapeCreators / SocialCrawl | If you want social data specifically, they hand you a unified schema. Bright Data hands you pages |
| IPRoyal | From ~$1.75/GB at volume with non-expiring traffic — cheaper per GB if raw proxy is all you need |
| Zyte | ~$0.13 per 1,000 simple HTTP requests, the floor of this market |
And where Bright Data beats me, which I should say out loud
At the promotional $0.75 per 1,000 records on the Web Scraper API, Bright Data is cheaper per record than HonestHook's $1.80 per 1,000 credits. That is their number against mine, read the same day, and it goes here because a comparison page that only lists my wins is a brochure.
Two things make it less lopsided than it looks, and neither cancels it. The rate is promotional with no stated expiry, so it is not a price you can plan a year around. And a record is not a credit: they hand back raw pages you still have to parse, while a credit here buys a normalized profile in the same shape across every platform. Whether that work is worth the difference is your call, not mine — but on the raw number, they win.
Where Bright Data is genuinely better, and it's not the tech
Nobody has secret infrastructure here. The Phyllo measurement found normalized cost per 1,000 profiles ranging from $0.18 to over $7 across vendors — a 40× spread that comes from packaging, not from anyone having a cheaper way to fetch a page.
What Bright Data actually sells at the top end is institutional risk absorption: contracts, compliance documentation, legal posture, and a company large enough to still exist next year.
That matters more than it sounds. Proxycurl — same category, smaller — was sued by LinkedIn in January 2025 and shut down. If your product depends on a data vendor, vendor survival is a feature you're buying.
Bright Data also won the case that shapes this whole market: Meta Platforms v. Bright Data (2024), where the court held that Facebook and Instagram's terms don't bind someone scraping public data while logged off, because a logged-off visitor isn't a "user."
How to decide in one question
Are you buying pages, or buying answers?
If you need raw access at volume and you'll do the parsing — Bright Data, Oxylabs, or a cheap proxy provider.
If you need structured social data and you'd rather not maintain sixty parsers — one of the social-specific APIs, at a fraction of the entry cost.
Most people searching "Bright Data alternative" are in the second group and don't know the category exists.
The legal part
Scraping public data while logged off has a favorable precedent in the US (above). Scraping while logged in is a different situation, and platform terms still create civil exposure.
Public data is still personal data under GDPR and LGPD. Whoever stores it becomes the controller — and on every vendor in this market, that's you, not them.
Who measured this
We did, and we're a customer of this category rather than a neutral party — so verify the per-GB figures yourself before they move.
Per-GB is also why this page exists. We are building our own collection, which puts the cost of a thousand profiles on the bandwidth side for us too rather than on a per-call price someone quotes us — and it means a page like this one is homework rather than shopping. It is designed and measured; the proxy is not contracted and nothing is running yet. When it does run, what it works out to per thousand gets published, because the whole market prices in credits that hide it.
We also run an hourly archive of what's rising across public platforms — a separate product that answers what gained traction over time.
List prices read from brightdata.com/pricing/proxy-network/residential-proxies on 5 September 2026 — primary source. A 50%-off promotion was live that day and is deliberately not quoted above, because it expires. SERP API pricing is not covered here: I could not find a primary source for it, and I'm not going to guess.
The residential tier figures above — $8/GB pay-as-you-go and the $499/141 GB, $999/332 GB and $1,999/798 GB commitments — were re-read at that same page on 3 October 2026 and are unchanged. The other product rows were not re-read, so they stand on the September reading. The Apify Actor count in the competitor table was re-read at apify.com/store on 3 October 2026: it moved from 68,000+ in September to 80,000+ today, and that is the only figure on this page that changed. A 50%-off residential code was live again on the October read and is again not quoted.