---
title: "Bright Data competitors: 8 alternatives compared for web data and job postings"
description: "Bright Data is the biggest general-purpose web data platform, and for some jobs it is the wrong shape."
canonical: https://jobspipe.dev/blog/bright-data-competitors
date_published: 2026-07-25
date_modified: 2026-07-25
author: Dvir Atias
---

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

Bright Data is the biggest general-purpose web data platform, and for some jobs it is the wrong shape. Eight alternatives compared on category, pricing model and fit, including when a narrow vertical API beats a scraping platform.

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: hundreds of datasets spanning ecommerce, social and business data, including LinkedIn and Indeed job listings, with pre-built datasets from $250 per 100K records.

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.

At Bright Data, residential proxies list at $8/GB pay as you go. Committed monthly residential plans start at $499 for 141 GB, with larger plans lowering the per-GB rate, and an enterprise tier sits above them. A 50% promotion was running when we checked, 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

| Vendor | Category | Pricing model | Best for |
| --- | --- | --- | --- |
| Oxylabs | Proxy network + scraping APIs | Per GB and monthly plans | Closest enterprise-for-enterprise swap |
| Decodo | Proxy network | Per GB, self-serve tiers | Mid-market teams who just need IPs |
| SOAX | Proxy network | Monthly plan + per GB by country tier | Geo-heavy collection on a budget |
| Apify | Scraping platform + marketplace | Subscription + compute units | Skipping the build with a prebuilt scraper |
| Zyte | Scraping platform | Per successful request, tiered | Scrapy shops who want failures to be free |
| ScraperAPI | Scraping API | Credits per request | Predictable per-request billing |
| Coresignal | Dataset provider | Per record, plus custom dataset deals | Firmographic and workforce datasets |
| JobsPipe | Vertical API (jobs) | Jobs returned, monthly plans | Job postings only, no infrastructure |

### 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 proxies from $6/GB; the Web Scraper API starts from $49/mo, Web Unblocker from $9.4, mobile proxies from $7.5 and ISP proxies from $16, with free trials on the Web Scraper API and Web Unblocker.

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 residential 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. Plans run from a no-fee 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 Tier 3 countries are $2.00/GB on Sandbox.

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. Platform plans are Free with $5 of monthly usage, Starter at $19, Scale at $199 and Business at $999 a month, and each plan's fee is spent on 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 Free and Starter, $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](https://jobspipe.dev/blog/best-job-scrapers) 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 of free 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. A standard page costs 1 credit, Amazon 5, Google and Bing 25, and LinkedIn 30, with extra credits for JavaScript rendering or premium routing, and failed requests are not charged (404s and requests you cancel are). A free tier of 1,000 API credits, plus a 7-day trial with 5,000 API credits.

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 482M+ job postings with new records added daily. API list prices are published: API plans from $49/month (Mini, 2,500 credits) to $5,000/month (Elite, 10M credits), after a 7-day free trial, 2,000 credits, priced per credit with the rate falling as you commit. Custom datasets are quoted through sales, starting from $1,000, and priced on agreement duration, processing level and record count, 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, TheirStack and JobsPipe for jobs data](https://jobspipe.dev/blog/coresignal-vs-theirstack) 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: 1,000 jobs free to start, 25,000 on builder, 300,000 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](https://jobspipe.dev/blog/job-scraper-build-vs-buy) works through the maintenance math, and [where to get job posting data](https://jobspipe.dev/blog/where-to-get-job-posting-data) covers the non-API options, including [bulk job postings datasets](https://jobspipe.dev/blog/job-postings-dataset) 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](https://jobspipe.dev/blog/ai-web-scraping).

## Frequently Asked Questions

### Who are Bright Data's main competitors?

Bright Data's closest direct competitor is Oxylabs, which sells the same combination of residential proxies, unblocking and scraping APIs. Other significant competitors sit in narrower categories: Decodo and SOAX on proxies, Apify and Zyte and ScraperAPI on scraping infrastructure, and Coresignal on prebuilt datasets. Which one is relevant depends on which part of Bright Data you were actually buying.

### Is there a cheaper alternative to Bright Data?

Headline per-GB rates are a poor way to answer this, because every major proxy vendor runs promotions and the effective rate moves constantly. At Bright Data, residential proxies list at $8/GB pay as you go, and a 50 percent promotion was running when we checked, which puts it level with the published pay-as-you-go rates at several competitors. The durable saving comes from changing the billing axis rather than shopping the rate: if your workload is a fixed number of requests rather than a lot of bandwidth, per-request vendors such as ScraperAPI and Zyte cost less because you are not paying for every byte of HTML you discard, and if you only need one vertical of data, a narrow API costs less than any general platform because you are not buying the proxy layer at all.

### What is the best Bright Data alternative for job postings?

For job postings specifically, a vertical jobs API is a better fit than a general scraping platform, because the per-site parsing, normalization and deduplication are already done. JobsPipe returns normalized postings from 30+ sources including Indeed, LinkedIn, Workday, Greenhouse and Lever from one endpoint, billed in jobs per month. If you want bulk records rather than live queries, Coresignal sells a jobs dataset, and Bright Data's own dataset marketplace includes LinkedIn and Indeed job listings.

### Is Bright Data worth it for a small project?

Usually not, and since July 7, 2026 it may not even be available. Bright Data's documentation states that new residential zones require a human-reviewed KYC, are open to verified companies only, and that approval is never automatic, instant or self-serve, which rules out solo developers without a registered company and corporate email domain. For a small project, a self-serve scraping API or a vertical data API will get you working data the same day.

### What is the difference between a proxy provider and a data API?

A proxy provider sells you network access: IP addresses you route requests through, billed by bandwidth, leaving you to write the requests, parse the HTML and maintain everything when the target site changes. A data API sells you the finished result: you send query parameters and get structured records back, and the vendor absorbs the proxies, parsing and breakage. Proxies are more flexible and cover any site, data APIs are far less work but only cover the domain they were built for.

### Do I need a scraping platform to collect job postings?

No. A scraping platform makes sense when you need arbitrary access to many different sites, but job postings are a well-defined vertical that several vendors already index and normalize. Using a jobs API means you skip proxy management, browser fleets, a separate parser for every applicant tracking system, and the re-parsing work every time a job board re-skins its pages. Build your own only if you need sources no vendor covers or you want full control of the collection pipeline.

Related

## Keep reading

-   [Comparison · Jun 27, 2026Where to get job posting data in 2026: 7 sources compared](https://jobspipe.dev/blog/where-to-get-job-posting-data)
-   [Comparison · Aug 6, 2026TheirStack alternatives: 5 job data APIs compared (2026)](https://jobspipe.dev/blog/theirstack-alternatives)
-   [Product · Jul 31, 2026Introducing the Labour Market Pulse: free monthly hiring and salary data from live postings](https://jobspipe.dev/blog/labour-market-pulse)
-   [Comparison · Jul 27, 2026Lightcast alternatives and competitors: 7 options for labor market data in 2026](https://jobspipe.dev/blog/lightcast-alternatives)
-   [Comparison · Jul 25, 2026AI sourcing tools for recruiting: what they do, where the candidate data comes from, and what breaks](https://jobspipe.dev/blog/ai-sourcing-tools-recruiting)


## Further reading

- [JobsPipe vs Bright Data](https://jobspipe.dev/alternatives/bright-data)
- [The best jobs APIs in 2026: 15 options compared](https://jobspipe.dev/blog/best-jobs-api-2026)
- [JobsPipe vs Apify](https://jobspipe.dev/alternatives/apify)

---
Try it with no key: `curl -d '{"limit":3}' https://api.jobspipe.dev/v1/sandbox/jobs/search`. AI agents: the full machine-readable index of this site is https://jobspipe.dev/llms.txt?src=md-twin - API quickstart, MCP server, pricing. Free key (1,000 jobs to start): https://jobspipe.dev/signup