Bright Data vs Apify
Try Bright Data’s Browser API if you have automation code and need a managed browser connection. Try Apify if you need to run a scraper as a hosted Actor. You can also connect the Bright Data browser from inside an Apify Actor.
Which part of the scraper do you need to run?
Published by MCP Scraper. The table uses vendor documentation checked on . The hosted-browser trial uses one public sandbox. The local Chrome observation is shown separately. Report a correction.
| Job | Bright Data | Apify |
|---|---|---|
| Fetch a known public URL | Send the URL to Web Unlocker and inspect the response. Keep parsing in your application. | Send the URL to Web Fetch and request HTML or Markdown. Check whether the result includes the fields you need. Compare Firecrawl Scrape and Apify Web Fetch on the same public URLs. |
| Click or scroll to reveal data | Connect Playwright or another supported client to the Browser API. Your code performs the action and checks the page. | Run a custom Actor with the interaction code or verify that an existing Actor supports it. A wait in Web Fetch can help with delayed content. Test the click separately. |
| Run code on a schedule and collect output | Use the managed browser connection for the run. Decide where your code, scheduling and output handling will live. | Package the scrape as an Actor. Check the run status and confirm you can retrieve the output your code writes. |
| Use a hosted Actor with a managed browser | Bright Data documents a Playwright connection from an Apify Actor. | Check the Actor run and browser session separately. Bright Data meters Browser API traffic by GB on pay-as-you-go. Apify lists Playwright Scraper as pay per usage. If you combine the two, record each service’s settled charge before comparing cost per usable record. |
What both hosted browsers returned after clicking Next
On , we ran the same Playwright extraction function through Bright Data’s Browser API and Apify’s Playwright Scraper Actor. Both opened the Quotes to Scrape JavaScript sandbox, collected the quote text, author and tags, then clicked Next once.
| Hosted setup | Page one | Page two |
|---|---|---|
| Bright Data Browser API | 10 | 10 |
| Apify Playwright Scraper | 10 | 10 |
All three fields were present in every record. The values and their order matched across both hosted runs and our local Chrome control. Both hosted runs reached the same second page.
Bright Data supplied the managed browser connection. Apify hosted the function as an Actor. The first submission returned HTTP 400 before a run started because the Actor required a valid proxy configuration. The next submission used Apify Proxy and succeeded. Its run receipt reported $0.0006611 in usage. Bright Data’s billed usage for this session was unverified. The results cover one sandbox and one click.
Inspect the hosted browser test receipt. The successful Apify run used Apify Proxy, a 60-second limit, 1,024 MB of memory and zero request retries. Browser versions and network setups were not matched.
To repeat the test on your own public URL, use the same interaction and required fields in each setup. Check account access first, save the first response, and keep access failures and timeouts separate from pages that load without usable records.
If some jobs need search results or page content instead of interaction, compare AI web scraping tools by the evidence you need.
Why an HTTP 200 can still leave records missing
Both unrendered JavaScript page responses returned HTTP 200 with zero quote elements. Local Chrome rendered 10 records on page one and 10 more after clicking Next.
The HTML included data in an inline script. The count refers to quote elements in the markup. A parser that reads the embedded data may behave differently. This observation used local Chrome.
With MCP Scraper, start with a public URL and inspect the returned fields. Use a hosted browser when the task requires interaction.
Inspect the evidence before you rerun a scrape
See what the first response contained, what Chrome rendered, and what changed after Next.