Bright Data Alternatives (2026): A Fair Comparison of Self-Serve Infrastructure and Managed Web Data

Introduction

Most lists of Bright Data alternatives rank proxy networks against each other. That helps an engineer buying IPs. It helps much less if you run a data, pricing or procurement team and what you actually need is clean, scheduled data in your warehouse.

Short answer: The main Bright Data alternatives fall into two groups. Self-serve infrastructure vendors (Oxylabs, Zyte API, Apify) give your engineers proxies, scraping APIs and tooling to run collection themselves. Managed data providers (Zyte Data, ScrapeHero, PromptCloud, Actowiz Solutions) build, run and maintain collection and deliver finished datasets. Pick by who owns the work, not by brand.

This guide describes the leading Bright Data alternatives only from their own public pages (linked so you can check them), explains the two operating models, and gives you a vendor-neutral question list for your RFP. It does not rank vendors on quality or price – those depend on your sources, volumes and contract terms.

What does Bright Data offer, and why do teams compare alternatives?

On its homepage, Bright Data describes itself as web data infrastructure. Its listed products span four layers: proxy networks (residential, ISP and datacenter), web access and scraper APIs, a remote browser, and pre-collected datasets. It also lists a managed service in which its team handles setup, collection, monitoring and quality checks, with a project manager per project.

So Bright Data covers both models. Teams usually compare alternatives for operating reasons rather than because one tool is "better":

• Fit with the team you have. A company with scraping engineers wants flexible building blocks; a pricing or strategy team without engineers wants a delivered feed.
• Commercial model. Some buyers prefer usage-based billing; others prefer a fixed retainer or project fee they can budget annually.
• Scope and focus. A buyer may want a vendor specialised in one industry, region or delivery style.
• Vendor diversification. Procurement often requires two or three quotes for any recurring data contract.

Self-serve infrastructure vs managed data delivery: the two models

Before comparing Bright Data alternatives by name, decide which model you are buying. Almost every vendor below sells at least one of these; several sell both.

7 Bright Data alternatives and who each suits

The table summarises what each company says it offers on its own website. Product names change often, so check the linked page before you send an RFP.

Oxylabs

Oxylabs' homepage lists residential, mobile, ISP and datacenter proxies, a Web Unblocker, a Web API with search and scrape endpoints, an Agent Browser, and datasets including custom-built ones. It highlights ISO/IEC 27001 and SOC 2 Type II coverage for named products. Suits: engineering-led teams that want to run their own collection on managed infrastructure.

Zyte

Zyte offers both models: Zyte API (access, browser rendering and extraction, billed on successful responses according to its site) and Zyte Data, a managed service that builds, runs and maintains collection and delivers to your warehouse. It also maintains the open-source Scrapy framework. Suits: teams already using Scrapy, or buyers who may start self-serve and move to managed later. See our Actowiz vs Zyte comparison.

Apify

Apify is a platform for running serverless programs called Actors, with a public Store of pre-built Actors, proxy services and the open-source Crawlee library. It also lists an enterprise tier and professional services where its team builds and maintains custom Actors. Suits: developers and technical analysts who like ready-made tools. See our Apify alternative page.

ScrapeHero

ScrapeHero positions itself as a fully managed, enterprise-focused scraping provider. Alongside custom extraction it offers ScrapeHero Cloud (pre-built scrapers and APIs), custom real-time APIs and a retail location Data Store, with delivery in formats such as JSON, CSV, Excel and XML to cloud storage or FTP. Suits: enterprises that want custom data delivered but also like off-the-shelf tools.

PromptCloud

PromptCloud describes a fully managed data-as-a-service model covering crawler setup through delivery, with XML, JSON or CSV via API, FTP or S3. It also runs JobsPikr for job data and lists ready-made datasets. Suits: enterprises outsourcing recurring feeds, especially job and e-commerce data.

Actowiz Solutions

Actowiz Solutions is a managed provider: according to our Bright Data alternative page, our team designs, runs, repairs and validates collection, then delivers on a schedule to your warehouse or S3, via REST API, or as a one-time project. Every run is schema-validated, with sampled human QA before delivery, and pricing is a fixed monthly retainer sized to scope rather than per-request metering. The same page states a free pilot on your own sources 24 hours on site vs 48 hours in brief and go-live in 5–10 business days.

To be fair: Actowiz is not the right fit if you want raw proxies, a very large self-serve residential IP pool, pay-per-request billing or a tiny one-off job – our own comparison page says so.

8 questions to ask any web data vendor before you sign

Whichever Bright Data alternatives make your shortlist, send every vendor the same questions. The answers make offers comparable even when the models differ.

• Coverage. Which countries, retailers, marketplaces or sites are in scope – and which are explicitly out of scope?
• Freshness. How often is each source collected (hourly, daily, weekly), and what happens when a run is late?
• Delivery format. CSV, JSON, Parquet, API, S3, warehouse share? Can the vendor match your existing schema and join keys?
• SLA. What is committed in writing – on-schedule delivery, fix time after a site layout change, support hours?
• Quality assurance. What checks run before delivery (schema, completeness, duplicates, outliers) and is a QA report included?
• Security and usage rights. Is there a DPA, security documentation and clear wording on how you may use the data?
• Portability and exit. Can you export full history at the end of the contract, and in which format?
• Proof. Will the vendor deliver a sample from your own sources before you sign?

Which model fits your situation?

Most Bright Data alternatives sell into more than one row below, so use the table to decide the model first and the vendor second.

Where managed web data pays off: use cases

• Multi-country price and assortment tracking. FMCG and retail teams comparing the same SKUs across retailers and countries, delivered weekly in one schema.
• Catalogue feeds for apps. A commerce-discovery app taking product catalogues from dozens of fashion and lifestyle platforms through one normalised API.
• Hospitality rate monitoring. Hotel groups and OTAs tracking room rates and availability across OTAs and direct sites.
• Consulting and market research. One-time, deadline-driven datasets for due diligence or market sizing.
• Restaurant and delivery data. Menu, price and outlet data across delivery apps for restaurant-tech and FMCG field-sales teams.

Legal and compliance basics

Whichever vendor you choose, the same principles apply. Collect public data only, respect site terms, and treat robots.txt (standardised as RFC 9309) as a signal to honour. Avoid personal data of private individuals; where any personal data is involved, the GDPR and similar laws apply, and you need a lawful basis and a DPA.

Ask each vendor for its written methodology per source. Our web scraping compliance guide covers terms of service, robots.txt, GDPR/CCPA and data processing agreements in more depth. This article is not legal advice.

How to switch from self-serve tools to a managed feed: 5 steps

• List your sources and fields. Export the current target list, field names and refresh schedule from your scripts or Actors.
• Share your schema. Give candidate vendors your table definitions and join keys so output can drop into existing dashboards.
• Run a parallel pilot. Ask for a sample on the same sources and dates and compare row counts, nulls and prices with your current output.
• Agree SLA and QA in writing. Delivery schedule, fix time after layout changes, QA report and escalation contacts.
• Cut over, then retire. Run both feeds for one or two cycles, then switch off the in-house jobs and proxy plans you no longer need.

Frequently Asked Questions

What are the best Bright Data alternatives in 2026?

It depends on the model you need. For self-serve infrastructure, buyers usually shortlist Oxylabs, Zyte API and Apify. For managed data delivery, they look at Zyte Data, ScrapeHero, PromptCloud and Actowiz Solutions.

Is a managed web scraping service better than a scraping API?

Neither is better in general. A scraping API suits teams with engineers who want control; a managed service suits teams that want finished data without building or maintaining scrapers.

Does Bright Data offer a managed service?

Yes. Bright Data's own managed-service page describes its team handling setup, collection, monitoring and quality checks, with a project manager per project.

How should procurement compare web data vendors?

Send every vendor the same questions on coverage, freshness, delivery format, SLA, QA, security and usage rights, and exit terms, and ask for a sample on your own sources before signing.

Can I move from Apify or Bright Data scrapers to a managed provider without changing my dashboards?

Usually yes, if the provider can match your existing schema. Share field names and join keys up front and run both feeds in parallel for one or two cycles.

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