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Compare YouTube Subtitle Scraper Side by Side

Compare YouTube Subtitle Scraper Side by Side — a practical guide with a ready-to-run configuration and structured output.

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Sep 16, 2026 · 3 min read · 574 words
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Need to compare youtube subtitle scraper across targets? Thirdwatch's YouTube Subtitle Scraper turns it into structured rows — the fields you need, ready to export.

Skip the setup: Run this as a ready-to-go task on Apify — pre-loaded with the configuration from this guide.

Why Compare side by side works

Put the same fields side by side for every target — the deltas are where decisions happen. This guide shows the configuration that pulls youtube subtitle scraper data from YouTube Subtitle Scraper.

How does this compare to the alternatives?

Manual copy-paste works for a handful of rows; dedicated per-site scrapers on other platforms either gate the same data behind sign-in or charge flat monthly fees regardless of usage.

Why this Actor

  • Purpose-built for YouTube Subtitle Scraper — no generic crawling config to tune
  • Pay-per-result pricing — you pay only for rows that come back
  • Structured output ready for JSON/CSV export or API consumption
  • No login, cookies, or API keys needed for the public surfaces it reads

How to do it in 3 steps

Step 1: Configure the input

Set the inputs as shown below — videoUrls takes the targets, and the optional fields bound the run size.

Step 2: Run the Actor

Run it from the console, the API, or the linked saved task. One dataset row is written per record.

Step 3: Use the output

Every row carries the fields shown in the sample — export as JSON, CSV, or feed it straight into your pipeline.

{
  "videoUrls": [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
  ],
  "languages": [
    "en"
  ]
}

Each dataset row looks like:

{
  "videoId": "dQw4w9WgXcQ",
  "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)",
  "channel": "Rick Astley",
  "channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
  "duration": 213,
  "viewCount": 1817946091,
  "uploadDate": "20091025",
  "language": "en",
  "captionSource": "manual",
  "availableLanguages": [
    "aa",
    "ab",
    "af",
    "ak",
    "am",
    "ar",
    "as",
    "ay",
    "az",
    "ba",
    "be",
    "bg",
    "bho",
    "bn",
    "bo",
    "br",
    "bs",
    "ca",
    "ceb",
    "co",
    "crs",
    "cs",
    "cy",
    "da",
    "de",
    "de-DE",
    "dv",
    "dz",
    "ee",
    "el",
    "en",
    "en-orig",
    "eo",
    "es",
    "es-419",
    "et",
    "eu",
    "fa",
    "fi",
    "fil",
    "fj",
    "fo",
    "fr",
    "fy",
    "ga",
    "gaa",
    "gd",
    "gl",
    "gn",
    "gu",
    "gv",
    "ha",
    "haw",
    "hi",
    "hmn",
    "hr",
    "ht",
    "hu",
    "hy",
    "id",
    "ig",
    "is",
    "it",
    "iu",
    "iw",
    "ja",
    "jv",
    "ka",
    "kha",
    "kk",
    "kl",
    "km",
    "kn",
    "ko",
    "kri",
    "ku",
    "ky",
    "la",
    "lb",
    "lg",
    "ln",
    "lo",
    "lt",
    "lua",
    "luo",
    "lv",
    "mfe",
    "mg",
    "mi",
    "mk",
    "ml",
    "mn",
    "mr",
    "ms",
    "mt",
    "my",
    "ne",
    "new",
    "nl",
    "no",
    "nso",
    "ny",
    "oc",
    "om",
    "or",
    "os",
    "pa",
    "pam",
    "pl",
    "ps",
    "pt",
    "pt-BR",
    "pt-PT",
    "qu",
    "rn",
    "ro",
    "ru",
    "rw",
    "sa",
    "sd",
    "sg",
    "si",
    "sk",
    "sl",
    "sm",
    "sn",
    "so",
    "sq",
    "sr",
    "ss",
    "st",
    "su",
    "sv",
    "sw",
    "ta",
    "te",
    "tg",
    "th",
    "ti",
    "tk",
    "tn",
    "to",
    "tr",
    "ts",
    "tt",
    "tum",
    "ug",
    "uk",
    "ur",
    "uz",
    "ve",
    "vi",
    "war",
    "wo",
    "xh",
    "yi",
    "yo",
    "zh-Hans",
    "zh-Hant",
    "zu"
  ],
  "segmentCount": 61
}

What to watch for

Rate the targets reasonably — large batches benefit from modest concurrency. Source sites may throttle heavy bursts; retry once and widen filters if a target surface is thin.

Related use cases

Run the YouTube Subtitle Scraper on Apify Store — pay per result, free to try, no credit card to test.

Frequently asked questions

What does YouTube Subtitle Scraper return?

One dataset row per result — with the fields shown in the sample output. Export as JSON, CSV, or Excel.

How do I control run size?

`videoUrls` selects the targets and the max/limit fields bound how many rows come back. Start small, then scale.

Can I run this on a schedule?

Yes — save it as a task and attach a schedule in Apify Console for daily/weekly pulls.

Is this data public?

The Actor collects publicly visible data only — the same information a logged-out visitor sees.

What formats can I export?

JSON, CSV, Excel, XML, or direct API access to the dataset — plus webhooks and integrations.

What if a run returns fewer rows than expected?

The source limits some results; retry once, and widen the query or filters if the target surface is genuinely thin.

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