Limited Time — Lifetime Access for just $99. Lock in before prices rise.

UScraper
Comparisons

Best YouTube Comments and Replies Scraper Alternatives

Compare YouTube comments scraper alternatives for replies. Export usernames, text, likes, timestamps and URLs to CSV in a local desktop app with UScraper.

UScraper
June 30, 2026
8 min read
#best youtube comment scraper#youtube comments scraper alternatives#youtube comment scraper alternatives#how to scrape youtube comments#apify youtube comments scraper#octoparse youtube comments scraper#youtube comments scraper#youtube replies scraper#youtube comments to csv#youtube comment search
Best YouTube Comments and Replies Scraper Alternatives

The best YouTube comment scraper depends on whether you need top-level comments only or full reply context. This comparison covers Octoparse, Apify, Bright Data, scraper APIs, scripts, the official YouTube Data API, and UScraper's YouTube Comments and Replies Scraper template.

Decision frame

What changes when replies matter

A basic YouTube comments scraper can stop at top-level rows. A YouTube replies scraper has to open reply drawers, expand read-more controls, pair each reply with its parent comment, and preserve the source video context.

Searches for how to scrape YouTube comments usually split into these lanes:

  • Official API access through commentThreads.list and comments.list.
  • Cloud actors such as Apify YouTube comments actors.
  • No-code SaaS templates such as Octoparse.
  • Managed products such as Bright Data or Scrapingdog.
  • Local desktop workflows such as UScraper templates.
  • Custom scripts and open-source projects.

The practical question is not "can this collect comments?" It is "will the rows preserve parent comment, reply text, video URL, timing, and a maintenance path your team can own?"


Side-by-side

YouTube comments scraper alternatives compared

OptionBest fitHostingCodeOutputPrice modelMain trade-off
UScraper YouTube Comments and Replies ScraperKnown watch URLs to local CSVLocal desktop appNo codeCSVFree template; app licensing appliesBest for supervised local exports, not cloud crawling
Octoparse YouTube comments templateHosted no-code tasksVendor cloud and app workflowNo codeExcel, CSV, JSONSaaS plan and task limitsConvenient, with less local custody
Apify YouTube comments actorsActors, datasets, APIs, schedulesApify cloudLow to mediumJSON, CSV, Excel, APIPlatform usage plus actor pricingStrong automation, variable cost
Bright Data YouTube comments scraperManaged extraction at scaleVendor infrastructureLow to mediumAPI or datasetUsage or dataset pricingPowerful, often heavy for one CSV
Scrapingdog YouTube Comment APIScraper API responsesAPI providerCodeJSONAPI usage planGood API path, not visual CSV
YouTube Data APISanctioned integrationsGoogle APICodeJSONQuota plus engineering timeNeeds pagination and reply handling
Open-source scriptsCustom collectionLocal or self-hostedHighTXT, CSV, JSONEngineering timeFull control and full maintenance

UScraper wins in a narrower job: run a visible local workflow and save reply-aware CSV rows to a folder you choose.


Where UScraper wins

When UScraper is the better YouTube replies scraper

UScraper is strongest when the deliverable is a spreadsheet and the operator needs to see what happened. The YouTube Comments and Replies Scraper template opens each watch URL, scrolls to lazy-load comments, expands visible reply and read-more controls, creates normalized export rows, and appends them to youtube-comments-replies-scraper.csv.

The visual flow matters during QA. If the CSV is empty, you can inspect whether YouTube showed a sign-in gate, comments were disabled, replies stayed collapsed, or a selector stopped matching.

Source URLs, browser state, and CSV output remain in the desktop workflow unless you add a sync or upload step. The template JSON is free to import; UScraper itself is licensed.

Reply-aware spreadsheet reviewUScraper wins

Choose UScraper when reply rows need to repeat the parent comment fields so analysts can filter, code, deduplicate, or audit conversations in Excel or Sheets.

Hosted scale and APIsCompetitor wins

Choose Apify, Bright Data, Scrapingdog, or a custom service when the job needs cloud queues, API delivery, retries, proxy infrastructure, and monitoring.

Official integration pathCompetitor wins

Choose the YouTube Data API when policy, quota-backed endpoints, OAuth, documented responses, and developer contracts matter more than no-code CSV export.


API fit

When the YouTube Data API is the safer choice

The official API is not just another competitor. commentThreads.list returns comment threads for a video, while comments.list can retrieve replies by parent comment. Production code also has to handle page tokens, quotas, and errors.

Use the API for product features, customer dashboards, or repeatable integrations that need sanctioned access and predictable JSON. Use a scraper only when browser-visible collection fits your legal, privacy, and platform review.


Output

Export shape summary and JSON workflow sample

There is no bundled CSV sample for this workflow. The authoritative sample is the exported JSON definition: multi-URL Navigate, reply expansion script, synthetic row selector, and Structured Export columns.

CSV column groupColumnsWhy it matters
Source videovideo_url, video_titleTies rows to the watch URL.
Parent commentcomment_user, content, comment_time, like_count, dislike_countPreserves thread context.
Reply fieldsreply_user, reply_content, reply_comment_time, reply_like_count, reply_dislike_count, reply_countShows who replied and what loaded.
Audit fieldspost_comment_count, CrawlTime, comment_urlSupports QA and reruns.
{
  "project": {
    "name": "YouTube Comments  Replies Scraper",
    "description": "Best-effort scraper for public YouTube video comment threads."
  },
  "blocks": [
    {
      "title": "Navigate",
      "config": {
        "urls": [
          "https://www.youtube.com/watch?v=xBBAD407zzU",
          "https://www.youtube.com/watch?v=WOuzDxHdz6I"
        ]
      }
    },
    {
      "title": "Inject JavaScript",
      "config": {
        "waitForCompletion": true,
        "timeout": 150
      }
    },
    {
      "title": "Structured Export",
      "config": {
        "rowSelector": "[data-uscraper-comment-row]",
        "fileName": "youtube-comments-replies-scraper.csv",
        "includeHeaders": true,
        "fileMode": "append",
        "columns": [
          "video_url",
          "video_title",
          "comment_user",
          "content",
          "comment_time",
          "like_count",
          "reply_user",
          "reply_content",
          "reply_comment_time",
          "reply_like_count",
          "post_comment_count",
          "CrawlTime",
          "reply_count",
          "comment_url"
        ]
      }
    }
  ]
}

Selection guide

Which YouTube comments scraper should you choose?

Choose UScraper for defined video lists, no-code local CSV, and reply text beside parent comment context. Choose Octoparse for hosted no-code tasks, Apify for actors and datasets, Bright Data or a scraper API for managed scale, and scripts for parser ownership.

For adjacent workflows, browse the template library, read the YouTube comments and replies tutorial, or compare options in the UScraper blog.


FAQ

Frequently asked questions

The best choice depends on the operating model. UScraper fits local CSV exports, Apify and Bright Data fit hosted scale, Octoparse fits hosted no-code tasks, and the YouTube Data API fits sanctioned integrations.

FAQ

Frequently asked questions

Here are some of our most common questions. Can't find what you're looking for?

View All FAQs

Stop writing scripts. Start scraping visually.

Download UScraper and build your first web scraper in under 10 minutes. No subscriptions, no code, no limits.

Available on Windows 10+ and macOS 12+ · Need help? [email protected]