Best Oxylabs Alternatives in 2026 for Enterprise Data Teams

The credible Oxylabs alternatives in 2026 fall into four groups: proxy networks (Bright Data, Decodo, IPRoyal, NetNut, DataImpulse), scraping APIs and unblockers (Zyte, ScraperAPI, ScrapingBee, Firecrawl, Diffbot), no-code and low-code platforms (Octoparse, Apify, Browse AI, ParseHub, Import.io), and fully managed data collection services (Ficstar, PromptCloud, Grepsr, ScrapeHero, Datamam, Mozenda, WebDataGuru). Which group you need depends on how much of the collection job your team wants to keep, and that decision drives your total cost far more than any headline rate does.

This guide groups rather than ranks, because a ranked list forces products onto a single axis they do not share. A residential proxy pool and a finished, quality-checked dataset answer two different questions. The judgment criteria are retained responsibility, pricing model behavior, and fit, not price per gigabyte.

At Ficstar, a fully managed web scraping service, we process more than one billion product prices every month for enterprise clients, which puts us in the fourth category. Read this as an informed vantage point with an obvious interest attached. We have kept the vendor descriptions factual and left the ranking to you, because the right answer depends on which layer of the job your team wants to run.

The four categories of Oxylabs alternatives

Here is the whole field in one view, ordered by how much of the work stays with your team.

Category	What you are buying	What your team still owns	Usually fits
Proxy networks	IP access and rotation	Scraper code, page interaction, parsing, scheduling, monitoring, repairs, QA, delivery	Teams with in-house scraping engineers and existing tooling
Scraping APIs and unblockers	Retrieval and block handling behind an endpoint	Parsing rules, orchestration, scheduling, schema, validation, storage	Engineering teams that want access solved but keep the pipeline
No-code and low-code platforms	A visual builder plus hosted runs	Source selection, field definitions, schedules, exception handling, fixes when pages change	Analysts and small teams with a limited, stable source set
Fully managed data collection	A finished dataset on a schedule	Defining the requirement and using the data	Enterprises running continuous, multi-source collection at scale

Two things follow. First, several vendors sell products in more than one category, so compare engagements, not companies. Second, the further down the table you go, the more operating burden moves off your team, and the more the conversation shifts from unit rates to service quality.

What Oxylabs sells, and why teams look elsewhere

Oxylabs is a Vilnius-based web data company founded in 2015. It sells residential, mobile, datacenter, and ISP proxies alongside Web Unblocker, Web Scraper API, and a headless browser, which means an Oxylabs customer can sit in either of the first two categories above depending on what they bought. Reviewers on G2 describe onboarding that includes a know-your-customer step and additional vetting for restricted target categories, which reads as friction to some buyers and as a compliance control to others. Teams look elsewhere for three reasons: cost, when bandwidth metering scales faster than expected; fit, when they are paying for infrastructure they then have to build on top of; and reliability on specific target sites.

The alternatives at a glance

Company details for the vendors below come from business registries, funding databases, and national press rather than vendor marketing. Ficstar appears in the fully managed category, alongside its direct peers, and is covered in depth in its own section further down.

Proxy networks

Vendor	Headquarters	Metering model
Bright Data	Israel	Usage and credit based, per successful request available
Decodo	Vilnius, Lithuania	Per gigabyte residential, per IP datacenter and ISP
IPRoyal	Ajman, UAE	Non-expiring per gigabyte, plus per-IP subscriptions
NetNut	Tel Aviv, Israel	Not publicly documented
DataImpulse	St. Petersburg, Florida	Pay as you go per gigabyte, non-expiring

Scraping APIs and unblockers

Vendor	Headquarters	Metering model
Zyte	Cork, Ireland	Per successful request
ScraperAPI	Las Vegas, Nevada	Subscription by API credits
ScrapingBee	France, owned by Oxylabs	Subscription by API credits
Firecrawl	San Francisco, California	Usage based
Diffbot	Menlo Park, California	Not publicly documented

No-code and low-code platforms

Vendor	Headquarters	Metering model
Octoparse	Walnut, California	Freemium plus subscription
Apify	Prague, Czech Republic	Subscription plus usage
Browse AI	Vancouver, Canada	Credit-based subscription
ParseHub	Toronto, Canada	Freemium plus subscription
Import.io	London, UK	Enterprise subscription

Fully managed data collection services

Vendor	Headquarters	Metering model
Ficstar	Toronto	Custom quote per engagement
PromptCloud	Bengaluru, India	Custom quote per engagement
Grepsr	New York City	Custom quote per engagement
ScrapeHero	Boston, Massachusetts	Custom quote per engagement
Datamam	US registered, UK links	Priced project by project
Mozenda	Utah	Not publicly documented
WebDataGuru	Houston, Texas	Custom quote per engagement

Why price per gigabyte is the wrong comparison

The first problem is that the unit is not consistent, even inside a single vendor's catalog. According to G2's pricing listing for Oxylabs, last updated in June 2026, the company meters its products three different ways.

Product line	How it is metered
Residential and mobile proxies	Bandwidth, per gigabyte
Web Unblocker and headless browser	Bandwidth, per gigabyte
ISP, dedicated ISP, dedicated datacenter	Per IP address
Datacenter proxies	Per gigabyte or per IP, depending on configuration
Web Scraper API	Monthly subscription tier

A per-IP plan with generous traffic allowances and a per-gigabyte residential plan cannot be compared with a single number. Neither can a monthly API subscription. Normalize the pricing model to your own architecture first: how many targets, how heavy the pages, how often you collect, and how much rendering the sites require.

Each pricing model behaves differently when your usage moves.

• Bandwidth metered. Cost scales with page weight, not with the value of the record you extracted. Heavy JavaScript pages cost more for the same field.

• Per successful request. Predictable per record, though retries, failures, and partial pages need clear contract definitions.

• Per IP subscription. Fixed monthly cost, with capacity limited by how many concurrent sessions those IPs support.

• Committed monthly tiers. Cheaper effective rates, with unused capacity that may not carry forward.

• Custom quote per engagement. Priced on scope rather than volume, which is how most managed services work.

The second problem is that raw IP access, the thing per-gigabyte pricing measures, is a smaller share of the outcome than it used to be. In July 2026, Cloudflare announced a bot management architecture that evaluates behavior across an entire browser session, including interaction rhythms, page visibility, browser telemetry, and request patterns, and not on IP reputation or a point-in-time challenge. Under that kind of defense, the size of a provider's residential IP pool stops being a reliable predictor of whether your collection succeeds.

NBC News reported that Cloudflare Radar data from June 2026 showed automated traffic accounting for 57.4% of requests for web pages against 42.6% from people, the first crossover Cloudflare has recorded. That figure covers requests for web pages specifically, not all internet traffic, but the direction is clear enough for procurement purposes. Sites are defending harder. Evaluate providers on successful retrieval, rendering, repair speed, and finished-data completeness, and treat pool size as a footnote.

Check who owns the vendors on your shortlist

Supplier diversification only works if the suppliers are independent. Two things happened in this market recently that change what a shortlist means.

In July 2026, Warburg Pincus announced a $130 million investment in Oxylabs at a valuation of roughly $3.6 billion, the company's first outside investment. Oxylabs had also acquired ScrapingBee in June 2025. ScrapingBee still appears on plenty of "Oxylabs alternatives" lists. It is now part of the same company.

Separately, Lithuania's national public broadcaster LRT reported in March 2026 that Oxylabs had appointed a new chief executive who previously led Decodo, and that both companies trace back to the Tesonet venture builder in Vilnius. Decodo, formerly Smartproxy, is one of the most frequently recommended alternatives on this keyword. The precise equity arrangements between the two have never been fully public, but the shared corporate lineage is documented, and a buyer shopping for genuine supplier independence should know about it before signing.

Before your shortlist goes to procurement, check who owns every name on it.

Proxy network alternatives to Oxylabs

You buy IP infrastructure. Your team writes and runs the collector, handles page interaction and parsing, schedules the runs, monitors for breakage, fixes what breaks, validates the output, and delivers it downstream. This category makes sense when you already employ scraping engineers and have tooling worth keeping.

• Bright Data. Founded in 2014 as Luminati Networks and renamed in 2021. Israel based and majority owned by the private equity firm EMK Capital. Sells residential, datacenter, ISP, and mobile proxies alongside scraper APIs, an unlocker product, and packaged datasets. Usage and credit based, including pay as you go per successful request.

• Decodo. Formerly Smartproxy, founded in 2018 and rebranded in April 2025. Based in Vilnius, Lithuania. Residential, datacenter, ISP, and mobile proxies plus scraping APIs and a no-code scraper. Per gigabyte for residential traffic and per IP for datacenter and ISP. See the ownership note above.

• IPRoyal. Headquartered in Ajman, UAE, with founding-year records that differ between sources. Residential, datacenter, ISP, and mobile, with residential IPs sourced through a consumer bandwidth-sharing app. Sells non-expiring per-gigabyte residential traffic plus per-IP subscriptions.

• NetNut. Founded in 2017 in Tel Aviv and acquired in 2019 by the publicly listed Alarum Technologies. Rotating and static residential proxies on a one-hop ISP architecture, plus datacenter and mobile lines.

• DataImpulse. Founded in late 2022 and registered in St. Petersburg, Florida, with an office in Tallinn. Residential, datacenter, and peer-to-peer mobile, sold pay as you go per gigabyte with non-expiring traffic.

The fit boundary is the same whichever name you pick. You are buying access, and everything between the HTTP response and a usable record stays with your team.

Scraping API and unblocker alternatives to Oxylabs

This layer moves retrieval and block handling behind a service boundary. Proxy rotation, retry logic, and browser rendering stop being your problem. Schema design, orchestration, scheduling, completeness testing, field validation, storage, and downstream delivery do not. An API takes ownership of access without taking ownership of your dataset.

• Zyte. Founded in 2010 as Scrapinghub and rebranded in 2020. Based in Ballincollig, Cork, Ireland, and the authors of the open-source Scrapy framework. Sells an unblocking and structured-data API plus a hosted crawling platform, and separately runs a managed data services arm that belongs in the fourth category. Charged per successful request.

• ScraperAPI. Founded in 2018 and based in Las Vegas, Nevada, with ownership changes recorded as recently as 2026. Subscription pricing built on API credits with concurrency limits.

• ScrapingBee. France based, founded around 2019, built on headless Chrome with proxy rotation and CAPTCHA handling. Subscription by API credits. Now owned by Oxylabs, which matters if you are shortlisting it as an alternative.

• Firecrawl. San Francisco based, Y Combinator backed, and the recipient of a $14.5 million Series A in August 2025. Converts sites into markdown structured for language models. Open source with usage-based pricing. Aimed squarely at AI ingestion, not long-running price collection.

• Diffbot. Founded around 2008 in Menlo Park, California. Uses machine learning and computer vision to parse pages visually and populate a knowledge graph holding billions of entities. Useful when you want extraction without writing selectors for every template.

This category has absorbed the hardest technical layer in the job. When an unblocker works well, proxies stop being something anyone thinks about. What stays behind is parsing, orchestration, scheduling, and QA.

No-code and low-code alternatives to Oxylabs

Configuration replaces coding. Maintenance does not go away. It changes shape, from software development into configuration and exception management.

• Octoparse. Based in Walnut, California, and backed by investors including Redpoint China and CITIC Capital. A point-and-click visual scraper available as a desktop client and a cloud service, sold freemium plus subscription. Built for people who do not write code.

• Apify. Founded in 2015 in Prague. A full-stack scraping and browser-automation platform with a marketplace of reusable scrapers, sold as subscription plus usage. Positioned much closer to developers than the rest of this category.

• Browse AI. Founded around 2020 in Vancouver, British Columbia. A no-code extract-and-monitor tool with prebuilt robots, sold on credit-based subscriptions. Strong for watching a defined set of pages for changes.

• ParseHub. Founded in 2013 in Toronto and backed by the Creative Destruction Lab. A visual desktop scraper that handles JavaScript, AJAX, and pagination, sold freemium plus subscription.

• Import.io. Founded in 2012 in London and acquired by Neuralogics in October 2025. Web data integration sold as an enterprise subscription, with more governance tooling than most of this category.

The European Data Protection Board's 2026 guidance on web scraping notes that website structures change often enough that scrapers require regular monitoring and updating. That is a regulator making the observation, not a vendor, and it applies to a visual builder exactly as it applies to hand-written code. Somebody has to notice the breakage and fix the configuration, and in this category that somebody works for you.

Fully managed alternatives to Oxylabs

The provider designs the collection, runs it, monitors the target sites, repairs the collectors when pages change, quality-checks the output, and delivers a finished dataset on your schedule. What stays with you is defining the requirement and using the data. Our own service page breaks down what that covers day to day.

Independent public coverage of this category is thinner than for the other three. Several of these providers carry no aggregate rating on the major review platforms at all, so your diligence has to come from references, trials, and contract terms, not star ratings.

• Zyte Data Services. The managed arm of the same company described above, distinct from its API product.

• PromptCloud. Founded in 2009 in Bengaluru, India, and bootstrapped. Fully managed data as a service, delivered as clean structured data by API or file.

• Grepsr. Founded in 2012, headquartered in New York City with a development team in Nepal. A managed web data acquisition platform with API delivery.

• ScrapeHero. Founded in 2014 in Boston, Massachusetts, with offices in India and the UAE. End-to-end enterprise web data with no software for the client to run, plus custom real-time data APIs.

• Datamam. US registered with UK links. Managed and custom web scraping and data intelligence work, sold project by project.

• Mozenda. Founded in 2007 in Utah and merged with Dexi.io in the early 2020s. A cloud point-and-click platform with managed and professional services layered on top.

• WebDataGuru. Founded in 2015 with a parent company in India and an office in Houston, Texas. Managed web scraping plus a price intelligence product.

This category is not automatically cheaper than running collection yourself. What it does is move operational effort and repair risk off your team and turn a variable engineering burden into a predictable line item. If your targets are stable, your source list is short, and your internal tooling already works, keeping the job in house can be the right call. That belongs in the evaluation next to everything else.

Where Ficstar fits

Ficstar has run fully managed collection since 2005, which has meant rebuilding around several generations of anti-bot defenses. We handle block bypass internally with rotating residential proxies, headless browsers, CAPTCHA handling, rate limit management, and JavaScript rendering, so clients are not buying proxy infrastructure separately and building on top of it. We have worked with more than 200 enterprise customers across more than 1,000 completed projects. Clients who have agreed to be named include NASA, our first client in 2005, Amazon, Goldman Sachs, Texas Instruments, Staples, LexisNexis, Barnes & Noble, Indigo Books & Music, Advance Auto Parts, and Baker & Taylor.

On complex projects, data passes through more than 50 distinct quality checks before delivery, combining automated validation, anomaly detection, and human analyst review. That layer is why we commit to 100% accurate data where the industry norm is 99% or 99.9%. No system is literally perfect. The commitment means we own the defect. When something is wrong we rerun the collection instead of patching the file.

Jorge Diaz, Pricing Manager at Advance Auto Parts, described the problem competitor price collection solves: "We have nationwide and local competitors with different pricing strategies. We used to struggle shopping for competitor prices as we need their data to keep our pricing competitive. Ficstar has offered us a great solution for our competitor price data needs. Now we can catch up all the price changes from our competitors no matter how they make the changes. Ficstar's data service is super reliable."

We work best at enterprise scale: millions of data points, thousands of SKUs tracked across multiple competitor sites, ongoing scheduled collection, not one-time pulls. Pricing is quoted per engagement based on the number of sites, the number of data points, collection frequency, and the difficulty of the targets, and Ficstar is a premium option. If you are a two-person team running one pipeline against one stable site, a self-serve platform from the categories above will serve you better and cost you less. If your requirement falls outside what any packaged product covers, in sources, fields, format, or update frequency, that is the custom collection case.

Ficstar does not run a self-service platform. There is no software for your team to configure or operate. That is the choice this guide comes down to, a collection tool or a delivered dataset.

The full cost of running collection in-house

Proxy or API spend is one line in a budget that has several others. If you are weighing a cheaper per-unit rate against your current contract, compare these lines too, or the switch can raise your total while lowering your invoice. Our guide to web scraping costs works through this in more detail.

Cost line	What drives it
Vendor spend	Bandwidth, requests, IPs, or subscription tiers
Build time	Engineer hours to write collectors, parsers, and orchestration
Maintenance	Repairs when target sites change structure or defenses
Quality assurance	Validation rules, anomaly detection, human review
Re-runs	Compute and calendar time when a collection fails or returns bad fields
Decision risk	The cost of pricing or planning decisions made on incomplete data

Labor is usually the largest of these. The US Bureau of Labor Statistics does not publish a distinct "data engineer" occupation, so the nearest official benchmarks are adjacent roles. Database architects had a median annual wage of $139,500 in May 2025, with the top 10% above $204,000. Those are wages, not fully loaded costs. BLS Employer Costs for Employee Compensation data for March 2026 shows benefits averaging 30.1% of total employer compensation cost for private industry workers, which puts a fully loaded senior hire roughly 43% above the base wage.

Maintenance is harder to quantify honestly, and most published numbers come from vendors with an interest in the answer. The most defensible measurement we have found is a 2024 survey of 232 data practitioners across 48 countries by The Modern Data Company, where 63% said maintenance consumed more than 15% to 20% of their time and 10% said it consumed more than a quarter. Treat that as a vendor-published industry survey, not settled fact.

The consequences of getting quality wrong are better documented. Forrester found that more than a quarter of data and analytics employees who see poor data quality as an obstacle at their organization estimate it costs more than $5 million a year, and 7% put the figure at $25 million or more. Those are self-estimates from a filtered group, not audited losses, though the order of magnitude is instructive. The baseline is not encouraging either. Harvard Business Review research from 2017, updated in 2020, found that 47% of newly created data records contained at least one critical, work-impacting error, and that only 3% of data quality scores were acceptable under the loosest standard tested.

The argument is scale dependent. For a single pipeline or a one-off project, self-serve infrastructure is cheap and fast, and many teams stand up a working scraper in a day. The total cost case applies to continuous, multi-source collection that somebody has to keep alive every week.

Compliance and procurement questions to ask any provider

Price comparison pages rarely cover this, and it is often what actually stalls a contract.

There is no universal rule that publicly available data is legal to scrape. Public accessibility narrows one federal claim and leaves every other question open. In hiQ Labs v. LinkedIn, the Ninth Circuit held in April 2022, at the preliminary injunction stage, that the Computer Fraud and Abuse Act concept of access "without authorization" did not apply in the same way to publicly accessible pages with no access gate. That decision did not establish a blanket right to scrape. On remand, the district court found hiQ had breached LinkedIn's user agreement, and the dispute ended in a consent judgment. Terms of service, copyright, contract, and privacy questions all remain separate from the CFAA analysis.

Litigation risk is not theoretical for this category either. In Reddit, Inc. v. SerpApi LLC, filed in the Southern District of New York in October 2025, Reddit named SerpApi, Oxylabs, AWMProxy, and Perplexity AI on anti-circumvention theories under the DMCA. In July 2026 the court largely denied the SerpApi and Perplexity motions to dismiss, and as of September 2026 the case remains live. Surviving a motion to dismiss is a pleading standard, not a finding of liability, but it belongs in a vendor risk assessment.

Security and controls deserve their own evaluation, separate from scraping performance. CISA's guidance on procuring ICT products and services recommends assessing suppliers across governance, secure design, information security, personnel security, and supply chain integrity. A practical request list for any provider on your shortlist:

• Current SOC 2 report, where applicable

• Data processing agreement and subprocessor disclosure

• Access control model and retention and deletion policy

• Incident response and business continuity arrangements

• The policy that decides which sources and fields the provider will and will not collect

• Evidence supporting any certification the provider claims

A managed provider can answer that last item with a written policy and an audit trail. A self-serve tool leaves it with you, because you choose the targets.

How to switch web data providers without breaking your reporting

There is no published standard for switching web scraping vendors, but the migration guidance from Google Cloud and Microsoft Azure converges on the same discipline for any production data source: test the target, define acceptance criteria, run in parallel, keep a rollback path, and retire the old source only after completeness and accuracy are proven. Microsoft explicitly advises against an abrupt changeover. Applied to a web data supplier, that looks like this.

1. Pick a representative sample. A set of target URLs, SKUs, and locations that covers your hardest cases, not your easiest.

2. Run both providers in parallel. Overlap the incumbent and the candidate for long enough to see the new source handle a site change.

3. Compare at the field level. Completeness, null rates, freshness and timestamps, duplicate and error rates, and geographic outputs where localization matters.

4. Document the schema mapping. Field names and types, categorical value mapping, date conventions, identifier continuity, and what a missing value means in each system.

5. Agree on historical continuity. Who backfills history, and how long you retain access to the old data after termination.

6. Test downstream compatibility. Load the new output into the systems that actually consume it before you cut over.

7. Keep rollback available until the candidate clears your acceptance thresholds.

One distinction worth borrowing from the migration literature is that validation and reconciliation are different tests. Validation asks whether the pipeline ran correctly. Reconciliation asks whether your business numbers still match. A faithfully migrated wrong number is still wrong.

On timing, there is no standard notice period. Termination notice, renewal windows, data export rights, and post-termination retention are all contractual. Find the notice deadline in your own agreement and work backward from it, because the deadline forecloses your options long before the expiry date does.

Frequently asked questions

What is the difference between a proxy provider and a managed web scraping service?

A proxy provider sells IP access. You still build the scraper, parse the pages, schedule the runs, and check the output. A managed service delivers a finished dataset and owns everything in between, including repairs when a target site changes.

Do I still need proxies if I use a fully managed data collection service?

No. A managed provider handles the access layer internally, including proxy rotation, headless browsers, CAPTCHA handling, and rate limit management. You do not buy or manage that infrastructure separately.

What happens when a target website changes its layout?

Under a proxy, API, or no-code arrangement, your team notices the breakage and fixes the collector or the configuration. Under a managed service, the provider monitors the target sites, repairs the collection, and reruns it, and the change should never reach your dataset.

How do I evaluate a vendor's data accuracy claim?

Ask what the number measures and how it is verified. A useful accuracy claim comes with a described QA process: what checks run, whether they are automated, whether a human reviews anomalies, and what happens when a defect is found. Then test the claim on your own hardest targets during a trial, not on paper.

Is there a cheaper alternative to Oxylabs?

On headline unit rates, yes. Several proxy networks and scraping APIs in the categories above advertise lower entry rates, and pay-as-you-go providers with non-expiring traffic cost less for small or irregular volumes. Whether they are cheaper in total depends on your workload. A lower rate on a bandwidth-metered plan still costs more per record on heavy JavaScript pages, and it does not cover the engineer time to build, repair, and QA the collection. Compare the unit rate first, then add the cost lines above.

Should I look beyond Oxylabs alternatives specifically?

Often, yes. If fit is the reason for leaving, and not price, the useful comparison set is the whole web data provider market, not the direct substitutes for your current product.

Run a free trial on your hardest targets

The question you cannot answer from a pricing page is whether a provider can collect from your specific targets at your required frequency. That is why our evaluation starts with a free trial where we collect real data from the sites you name, in the format you need, so you can compare it against your current source field by field before anything is signed.

If you are running continuous collection across multiple competitor sites and want the whole job handled instead of the access layer rented, Start Your Free Trial.