Bright Data vs. Apify: Which Web Scraping Platform Fits Your Workflow?

The decision is about workflow, not a single feature list

Bright Data and Apify can both collect public web data, but they divide the work differently. Bright Data’s catalog separates managed extraction products from proxy-network products. Apify centers its platform on Actors: packaged tools that run in a managed environment and can write results to datasets.

That difference changes the best starting question. If the task already matches a suitable Apify Actor, the work may begin with an input, a scheduled run, and an export. If the task needs a specific proxy route, a managed scraper API for a supported target, or a separate proxy layer for an existing crawler, Bright Data may be the more direct fit.

Neither approach removes the need to check the target site’s rules, the data being collected, and the legal basis for the intended use. A platform can make collection operationally easier; it does not give permission to collect or reuse data without limits.

Where Apify is easier to start

Apify’s main advantage is the breadth of its Actor ecosystem. The Apify Store currently lists more than 79,000 web-data and automation tools. That does not mean every listing is equally mature, priced the same way, or suitable for a particular target. It does mean there is a good chance a buyer can find a starting point instead of building a crawler from nothing.

The platform also combines an Actor run with datasets, scheduling, APIs, and optional proxy settings. Based on that platform structure, recurring collection from a source that an existing Actor handles well can save setup time. The important qualification is that Store Actors have their own owners and pricing models. Check the output fields, update history, terms, and a real test run before designing a production pipeline around one.

On October 2, 2026, the Apify pricing page listed a Free plan with $5 of monthly prepaid usage and Starter at $19 per month plus usage (price checked October 2, 2026). The same pricing page says a run charge can include compute, proxies, storage, data transfer, and, for some Store Actors, an event-based price. That makes the platform flexible, but a cheap plan name is not the same thing as a predictable total cost for a large job.

Where Bright Data is the more direct fit

Bright Data is often easier to evaluate when the team knows it needs a managed data-delivery product or wants proxy infrastructure to be a distinct layer of its stack. Bright Data describes its Web Scraper API as a product for supported scrapers that includes proxy handling, unblocking, parsing, and structured delivery. Its page lists 5,000 free records per month, followed by pay-as-you-go pricing of $1.50 per 1,000 delivered records (price checked October 2, 2026).

That delivered-record model can be easier to budget for a supported scraper, because the stated price packages some lower-level work into the record price. It is not Bright Data’s universal pricing model. Its proxy products have their own plans, and a custom workflow can involve a different product entirely.

Its datacenter proxy information describes shared and dedicated options alongside the broader residential, ISP, mobile, and datacenter product range. For a team that needs to select a proxy type, location, session behavior, or ownership model deliberately, that product separation can be useful. It is not evidence that a given target will work better than it would through Apify; target defenses and permitted access patterns still matter.

Price: compare a workload, not the entry plan

For an initial test, Apify’s pricing page presents its Free plan as a way to try a suitable Actor before paying for a larger workflow. For a supported source, Bright Data’s product page lists a delivered-record model for its Web Scraper API; that model may suit the workload. Neither observation proves a broad price winner.

Use a small but representative test: the same target URLs, field requirements, geography, refresh schedule, and output destination. Record the number of usable rows, retries, proxy consumption, compute time, dataset or storage charges, and export costs. Then calculate cost per usable record, not merely cost per request or monthly plan.

For larger jobs, Bright Data says its Web Scraper API accepts batches and supports unlimited concurrency, while Apify’s Scale plan lists up to 128 concurrent runs and 256 GB of Actor RAM, as checked on October 2, 2026. Both can scale, but the job architecture and billing meter are different.

Proxy infrastructure: a real distinction, but not a universal winner

Bright Data makes proxy networks a visible part of its product catalog. Its documentation and pricing pages distinguish residential, ISP, mobile, and datacenter products. That structure suits a team that already has scraping code or needs to decide exactly how different targets will use different proxy routes.

Apify also provides datacenter and residential proxies, country targeting, sessions, proxy groups, and health checks. Its proxy documentation places those controls inside the managed Actor workflow as well as external proxy use on eligible plans.

Choose Bright Data when proxy procurement and tuning are core requirements. Choose Apify when the priority is to get a suitable crawler running inside a single managed platform. If a target is difficult to access, prove the workflow with a permitted test rather than assuming that either brand guarantees access.

Maintenance and data delivery

For supported targets, Bright Data says its pre-built scrapers are built, tested, and maintained by the company. That can be appealing when a team would rather buy a managed extraction path than maintain parsers as page structures change.

According to Apify’s Store and platform documentation, its model offers a different kind of flexibility. The Store can expose specialized tools, including community-built Actors, and managed datasets can fit a workflow that needs run history, schedules, and API access in one place. The trade-off is diligence: assess the particular Actor, not only the platform.

Both products can export structured data into an automated workflow. Bright Data documents several delivery routes for its Web Scraper API, while Apify documents dataset access through its platform and API. Choose the platform whose output, retention, and monitoring model fits the system that will consume the data next.

A practical way to choose

Start with one permitted target and a fixed definition of success: the fields required, the refresh schedule, the geography, and the destination for the data. That keeps a platform comparison from turning into a comparison of two unrelated products.

1. Look for an Apify Actor that returns the exact fields you need. If one exists and its maintenance history, terms, and test output check out, it is a sensible first route.
2. If the project already has crawler code or needs proxy routes to be selected and managed separately, compare the relevant Bright Data proxy or scraper product instead of treating the whole catalog as one plan.
3. Run the same small sample through the shortlisted options. Keep the raw cost, usable records, retries, and any maintenance work in the same worksheet.
4. Make the production decision only after the sample shows which workflow can be operated within the target’s rules and at a cost you understand.

That process will usually give a more useful answer than a headline comparison. Apify is a strong starting point when an existing Actor fits; Bright Data is a stronger candidate when the proxy or managed-scraper layer needs more deliberate control.

Sources and further reading

• Apify pricing
• Apify Store
• Apify Proxy documentation
• Bright Data Web Scraper API
• Bright Data Datacenter Proxies