Bright Data competitors: 8 alternatives compared for web data and job postings

Bright Data is a general-purpose web data platform. It sells proxy networks (residential, datacenter, ISP, mobile), unblocking and scraping infrastructure (Web Unlocker, SERP API, Scraper APIs, Browser API), and a marketplace of prebuilt datasets that the company describes as 350+ datasets across 250+ domains. It is the largest vendor in the category and it is genuinely good at what it does. If you need arbitrary access to arbitrary websites at scale, it is a defensible default.

People search for Bright Data competitors for three distinct reasons, and they lead to three different answers. The first is cost at scale, where bandwidth billing across several product lines gets hard to forecast. The second is compliance friction, which got sharper in July 2026. The third, and the most common one we see, is over-scope: you are evaluating an entire scraping platform to solve one narrow data problem. Be clear about which of the three you have before you shortlist anything.

One thing up front, because it shapes the rest of this page. JobsPipe is not a Bright Data replacement. We are a jobs API, not a proxy network or a general scraping platform. If you need product prices, review text or social data, you should be looking at Oxylabs, Zyte or Apify below, not at us. The only slice where we compete is job postings.

What Bright Data is good at

Be fair about the incumbent or the comparison is useless. Bright Data operates one of the largest residential IP pools in the market and pairs it with unblocking logic most teams cannot rebuild. The dataset marketplace is real product: 350+ datasets across 250+ domains spanning ecommerce, social and business data, including LinkedIn and Indeed job listings, sold per record above a $250 minimum order.

It also invests visibly in compliance tooling and consent flows for the residential network. That is a genuine strength if you procure at enterprise scale and need a vendor that survives a security review. It is also the source of the friction described below.

The three reasons teams look for an alternative

1. Cost at scale

Every figure on this page is the vendor’s own published rate as of July 2026. This market reprices constantly and most vendors run promotions, so treat these as the shape of the pricing rather than a quote and check before you budget.

Bright Data’s list rate for residential proxies is $8/GB pay as you go, with committed monthly plans at $499, $999 and $1,999 that step the rate down as volume rises, and an enterprise tier above roughly 1 TB. A 50% promotion is running at the time of writing, which halves those rates while it lasts. The structural issue is not the rate, it is that bandwidth is a poor proxy for value: you pay for every byte of HTML, boilerplate, tracking script and image you pull down, whether or not any of it becomes a field in your database. That is the axis on which cheaper alternatives genuinely exist, not the headline per-GB number.

2. Compliance and KYC friction

This changed recently and it is the single most common reason a small team bounces off Bright Data today. As of July 7, 2026, Bright Data’s own documentation states that residential proxies “require KYC review by the compliance team and are available to verified companies only,” and that approval is “never automatic, instant or self-serve.” Zones created on or before that date are grandfathered in. New ones are not.

You need a registered company and a corporate email domain, personal accounts are not approved, and the review can include government ID and a video call. Approval is also scoped: requests to domains outside your approved use case are blocked with an access denied error. That is a reasonable policy for Bright Data to have, and it is a hard stop rather than a speed bump for a solo developer or a research team that wanted to write code this afternoon.

3. Over-scope for a narrow use case

If your entire requirement is “job postings from the last seven days, remote, in these three countries,” you are buying a proxy network, an unblocker, a browser fleet, a parser layer and a scheduler in order to get one table. Every one of those layers is something you now own and maintain. Narrower tools exist for narrow problems, and they are usually cheaper and always less work.

8 Bright Data alternatives compared

1. Oxylabs

The closest feature-for-feature competitor. Oxylabs sells residential, datacenter, ISP, mobile and SOCKS5 proxies alongside a Web Scraper API and Web Unblocker, which is the same product shape as Bright Data. Its pricing page lists residential from $6/GB, Web Scraper API from $49/mo, mobile from $7.5, ISP from $16 and Web Unblocker from $9.4, with free trials on most lines.

The tradeoff is scale and catalog rather than capability: a smaller IP pool and fewer prebuilt datasets, against lower entry pricing. If you want a like-for-like swap that will not require rewriting your architecture, price this one first.

2. Decodo (formerly Smartproxy)

Decodo is the rebranded Smartproxy, and it is squarely a proxy vendor rather than a platform. Residential traffic sells per GB on self-serve monthly tiers, with the rate falling as committed volume rises and a pay as you go option above that. We are not quoting a figure because Decodo’s own pages advertised several different headline rates in the same week, including a landing-page claim lower than anything in its pricing table, so price it in the dashboard rather than trusting a number you read anywhere, including here. There is a 3-day, 100 MB free trial and no KYC wall between you and a working endpoint.

The tradeoff is that you get IPs and not much else: no dataset marketplace, a thinner scraping product line, and you still own every parser. For a team that already has working scrapers and wants cheaper, less gated bandwidth, that is the right trade.

3. SOAX

SOAX prices by plan tier and by country tier, which is unusual and useful if your targets are not all in the US. Published plans run from a free Sandbox through Builder at $200/mo, Team at $500/mo, Scale at $1,500/mo and Enterprise at $3,000/mo, with per-GB rates falling both as you move up plans and as you move into cheaper geographies. Tier 1 countries are $5.00/GB on Sandbox and $3.00/GB on Builder, while the same Sandbox plan is $2.00/GB for Tier 3 countries.

You trade catalog breadth and enterprise polish for transparent self-serve pricing and lower commitments. The country tiering is a real cost lever if your collection skews toward emerging markets.

4. Apify

Apify is a scraping platform with a marketplace on top. Instead of building a scraper you rent an Actor someone else already built and maintains, including job-related ones such as LinkedIn Jobs scrapers. Plans are Free at $0 with $5 of included usage, Starter at $29/mo, Scale at $199/mo and Business at $999/mo, each including the same dollar value of usage. Consumption is billed in compute units (1 CU is 1 GB of RAM running for an hour), and residential proxy bandwidth is resold at $8/GB on the lower plans, $7.50/GB on Scale and $7/GB on Business. Annual billing takes 10% off.

The tradeoff is maintenance risk you do not control. A rented Actor is someone else’s code against someone else’s site, so when the target re-skins you wait for that author to fix it. Compute-unit billing is also harder to forecast than per-request billing. Our rundown of job scraping tools compares the marketplace options on jobs specifically.

5. Zyte

Zyte is the company behind Scrapy, and Zyte API reflects that heritage: one API handling bans, proxies, browser rendering and extraction, priced in five tiers for HTTP requests and five for browser requests, with tier assignment made automatically based on how hard the target is. The billing detail that matters is documented plainly: “You are only charged for successful responses. Rate-limiting and unsuccessful responses are free.” New accounts get $5 in credit.

That aligns incentives better than bandwidth billing, because a failed request costs nothing. The tradeoff is scope: Zyte is a scraping product, not a proxy product and not a dataset marketplace, so if you were buying Bright Data for its prebuilt datasets, Zyte does not replace that half.

6. ScraperAPI

ScraperAPI is the simplest mental model here: send a URL, get HTML back, billed in credits per request rather than by bandwidth. Standard pages cost 1 credit, Amazon 5, Google and Bing 25, and LinkedIn 30, with extra credits for JavaScript rendering or premium routing, and only successful requests are charged. The free tier is 1,000 credits a month, plus 5,000 requests during the first 7 days.

You give up proxy-level control, the dataset catalog and the enterprise surface, and you get a bill you can predict from request count alone. For a small project it is often the fastest path to working data.

7. Coresignal

Coresignal is a dataset provider rather than infrastructure, which makes it a competitor to Bright Data’s dataset marketplace rather than to its proxies. It sells company, employee and jobs data, advertising 160M job postings with new records added daily. API list prices are published: Free, Starter from $49/mo, Pro from $800/mo and Premium from $1,500/mo, priced per record with the rate falling as you commit, and a first-month discount code was running when we checked. Bulk datasets start from $1,000/mo and are custom quoted, so that side is sales-gated.

The tradeoff is entry price and shape. You are buying records in volume rather than making cheap ad-hoc queries, and the jobs data sits inside a broader B2B product. We wrote a longer comparison of Coresignal for jobs data if that is the specific slice you care about.

8. JobsPipe

JobsPipe is a vertical API. One REST endpoint returns normalized job postings indexed from 30+ sources including Indeed, LinkedIn, Workday, Greenhouse, Lever, Glassdoor, Dice, ZipRecruiter, Ashby and SmartRecruiters. Billing is requests per month, not bandwidth and not records: 100 requests/month free, 100,000 on builder, 1,000,000 on scale, with rate limits of 2, 10 and 50 req/sec respectively.

The tradeoff is the obvious one. It does job postings and nothing else: no proxy to point at another site, no browser to drive, no way to collect prices or reviews. If your requirement is broader than hiring data, pick one of the seven above.

If your use case is job postings

Here is the concrete version of the over-scope argument. To get “remote data engineer roles posted in the last week in the US” from a general scraping platform you need a proxy pool with enough clean IPs to survive rate limits, an unblocker or browser fleet for the sites that require JavaScript, a separate parser per source because Workday, Greenhouse and Indeed share no schema, a normalization layer for titles, locations, seniority and salary formats, a deduplication step because the same role appears on four boards, and a scheduler with monitoring so you hear about breakage before your users do. Then you maintain all of it.

With a jobs API that is one request.

curl -X POST https://api.jobspipe.dev/v1/jobs/search \
  -H "Authorization: Bearer jp_live_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "job_title_or": ["data engineer"],
    "job_country_code_or": ["US"],
    "remote": true,
    "posted_at_max_age_days": 7,
    "limit": 50
  }'

The response is a metadata object with total_results and next_cursor, and a data array of normalized postings: title, company, location, country, compensation, seniority, posted date, a stable id and an apply_url. No proxies, no browser, no parsers, no KYC call. The same query runs against the free sandbox at POST https://api.jobspipe.dev/v1/sandbox/jobs/search with no key at all.

The argument generalizes: a vertical API is worth it when the vertical is your only requirement. Our post on building versus buying a job scraper works through the maintenance math, and where to get job posting data covers the non-API options, including bulk job postings datasets if you would rather buy a file than call an endpoint.

How to choose

• You need many different sites, at enterprise scale, with procurement support. Stay with Bright Data, or price Oxylabs against it. Nothing narrower will cover you.
• You have working scrapers and just want cheaper IPs. Decodo or SOAX. Pick SOAX if your targets skew outside Tier 1 countries.
• You do not want to write or maintain a parser. Apify if a prebuilt Actor already covers your target, Zyte if you would rather own the spider but not the ban problem.
• You want a bill you can predict from request count. ScraperAPI or Zyte, both of which charge only for successful requests.
• You want records, not infrastructure, across companies and people. Coresignal, budgeting for the entry price.
• Your data requirement is job postings and only job postings. A jobs API. You do not need any of the above.
• You are a solo developer or a small team without a registered company. Check the access model before the price. Bright Data’s residential network now requires a human-reviewed KYC and a corporate domain, and several alternatives do not.

One note on approach rather than vendor: LLM-based extraction is pitched as the answer to per-site parsers, and it helps, but it removes neither the access problem nor the cost of verifying output. We covered what it actually solves in our piece on AI web scraping.