In a small, self-reported test, Devil Scrapes reported that its Mercado Libre scraper cleared a challenge in 6 of 12 attempts with 4096 MB allocated and 9 of 10 attempts with 8192 MB. The author says the code and proxy tier were unchanged, and attributes the lower-memory failures to the browser process being killed while rendering. The results suggest that container memory was a factor in this Actor’s runs; they do not prove that doubling memory alone caused the higher observed clearance rate.
What changed in the comparison?
In a Dev.to post published September 21, 2026, Devil Scrapes compared the same scraper code and proxy tier at two memory allocations for a hosted Apify Actor. These are the author’s reported attempts, not an independently replicated benchmark.
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| Allocated Actor memory | Attempts | Reported challenge clearances | Observed proportion |
|---|---|---|---|
| 4096 MB | 12 | 6 | 50% |
| 8192 MB | 10 | 9 | 90% |
The counts are small: one additional success or failure would noticeably change either proportion. The comparison is useful as a report about this Actor’s runs, not as a general estimate of how often Mercado Libre challenges can be cleared.
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Why might memory have mattered?
The author says runs at 4096 MB sometimes ended with a client-side TargetClosedError while the browser was rendering the search page. The post reports a 3.3 MB DOM and interprets those failures as the browser process being killed under memory pressure. It does not publish process-memory telemetry that would independently confirm an out-of-memory termination, so the diagnosis remains the author’s explanation.
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This distinction matters: a browser that closes before finishing a page can look like a target-side block, even when the immediate failure is in the scraper’s own container. But the reported error alone does not establish why the process closed. Memory pressure is plausible in the author’s account, not proven as the sole cause of the difference between the two sets of attempts.
Why did an HTTP 200 not mean the page had loaded?
Devil Scrapes reports that status codes alone were insufficient to identify what Mercado Libre returned. In the author’s tests, weaker network instruments received a decoy bundle from the HTML search page, while a residential proxy received a JavaScript challenge. The author also says anonymous search API requests returned 403 on the instruments tested. These are observations from those tests, not evidence of a permanent API policy or uniform behavior across locations, sessions, or proxy types.
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As the author puts it, “A 200 status code can mean three completely different things that look identical in a logs table — a decoy bundle, a solvable challenge, and the real page — and they only tell apart when you actually read the body.” In practical debugging, checking the returned content helps distinguish a successful page response from a challenge or decoy; a 200 status by itself does not confirm usable search results.
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What happened after a challenge was cleared?
The post says that, after a session cleared the challenge, offsets 49 through 385 returned results without another challenge in four attempts. The Actor was configured for up to nine pages, and the author reports testing eight deeper pages after the first. Those figures describe the reported setup and observations; they are not a guarantee that the same pagination depth or challenge behavior will hold for another run.
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What the result does—and does not—show
- It shows: in the author’s small comparison, the 8192 MB configuration had more reported clearances than the 4096 MB configuration, with code and proxy tier described as unchanged.
- It does not show: an independently established clearance rate, a controlled causal finding that memory alone produced the change, or a universal memory requirement for scraping Mercado Libre.
- It concerns: memory allocated to a hosted Actor/container, not a recommendation to install more physical RAM in a computer.
The author’s central troubleshooting point is worth keeping separate from the headline percentages: “A killed browser process and a hostile target can produce an identical-looking crash. Before writing off a target as too defended, check whether your own container had enough memory to finish the page.” That is useful diagnostic advice, while the evidence here remains one operator’s account rather than an independently verified test.
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