스킬 tiktok-scraper

📦

tiktok-scraper

Name: tiktok-scraper
Author: apidojo-io

콘텐츠 리비전 r1 중간 위험 ⚙️ 외부 명령어🌐 네트워크 접근

Extract TikTok Data Through Apify

TikTok research requires different requests for posts, profiles, comments, and location feeds. This skill documents four Apify actors and reusable API workflows for preparing those requests.

지원: Claude Codex Code(CC)

📊 68 적절함

Maintain this Skill? Claim it 📊 68 적절함

내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청

Review the Skillstore skill "tiktok-scraper" from https://skillstore.io/skills/apidojo-io-tiktok-scraper.md and its manifest at https://skillstore.io/api/skills/apidojo-io-tiktok-scraper/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/apidojo-io-tiktok-scraper.md 서명된 manifest GET /api/skills/apidojo-io-tiktok-scraper/manifest 서명된 lockfile GET /api/skills/apidojo-io-tiktok-scraper/lockfile

테스트해 보기

"tiktok-scraper" 사용 중입니다. Summarize the documented sample Nike post.

예상 결과:

Illustrative documentation sample, not a live scrape.
Creator: Nike; account verified.
Views: 340,916; likes: 13,939; comments: 464; shares: 812.
Published: September 4, 2025; video duration: approximately 60 seconds.

"tiktok-scraper" 사용 중입니다. Describe the documented sample comment record.

예상 결과:

Illustrative documentation sample, not a live scrape.
Comment author: superfan123; account not verified.
Comment likes: 1,234; reply count: 5.
Language: English; region: US; no parent comment identifier.

보안 감사

중간 위험

v1 • 2026. 9. 30. 버전별 보고서 열기

All 102 static findings are false positives for the flagged threats: Markdown formatting, legitimate API substitutions, sample URLs, and subscription prose. Semantic findings identify misleading referral upgrade instructions and missing collection, polling, and error limits in the paid-run example. No evidence found of credential exfiltration, host reconnaissance, or instructions to override this audit.

스캔된 파일

295

분석된 줄 수

검토 항목

오탐 무시됨

확인된 보안 우려 사항 (2)

중간

SKILL.md:290-294

Unsupported Paid-Plan Diagnosis and Referral Upsell

The guardrail says results containing '10 or fewer items' must trigger 'stop immediately' and a fixed paid-plan upgrade message. It directs users to a referral pricing link and disallows alternative troubleshooting. A successful single-video lookup can trigger this unsupported payment diagnosis, suppress valid results, and encourage an unnecessary purchase.

The text explicitly couples a result-count threshold with a mandatory referral upgrade message and suppresses troubleshooting. No billing error is required; the single-video scenario demonstrates why small results cannot establish a subscription restriction.

중간

SKILL.md:49-68

Missing Bounds in the Paid-Run Workflow

The asynchronous launch omits maxItems, while limit=100 only constrains later dataset retrieval. The polling loop has no deadline or error exit, so failed requests or invalid run identifiers can sustain repeated API calls indefinitely. Following this example can exceed the intended collection scope or consume resources without a defined stopping condition.

The launch payload lacks a collection limit, and the loop exits only for four terminal status strings, not HTTP or parsing failures. Actor defaults were not inspected, so actual charges and collection volume remain unknown.

위험 요인

⚙️ 외부 명령어 (50)

SKILL.md:14 SKILL.md:15 SKILL.md:16 SKILL.md:17 SKILL.md:27-29 SKILL.md:29-33 SKILL.md:33-35 SKILL.md:35-41 SKILL.md:41-47 SKILL.md:47-69 SKILL.md:69-75 SKILL.md:75-77 SKILL.md:77-80 SKILL.md:80-82 SKILL.md:82-85 SKILL.md:85-87 SKILL.md:87-90 SKILL.md:90-92 SKILL.md:92-95 SKILL.md:95-97 SKILL.md:97-100 SKILL.md:100-102 SKILL.md:102-105 SKILL.md:105-107 SKILL.md:107-110 SKILL.md:110-112 SKILL.md:112-113 SKILL.md:113-115 SKILL.md:115-118 SKILL.md:118-120 SKILL.md:120-121 SKILL.md:121-123 SKILL.md:123-129 SKILL.md:129-132 SKILL.md:132-134 SKILL.md:134-137 SKILL.md:137-139 SKILL.md:139-142 SKILL.md:142-144 SKILL.md:144-150 SKILL.md:150-153 SKILL.md:153-155 SKILL.md:155-158 SKILL.md:158-160 SKILL.md:160-163 SKILL.md:163-165 SKILL.md:165-171 SKILL.md:171-174 SKILL.md:174-176 SKILL.md:176-179

🌐 네트워크 접근 (28)

감사자: codex

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

https://skillstore.io/skills/apidojo-io-tiktok-scraper/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/apidojo-io-tiktok-scraper/security.svg)](https://skillstore.io/skills/apidojo-io-tiktok-scraper?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/apidojo-io-tiktok-scraper?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/apidojo-io-tiktok-scraper/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/apidojo-io-tiktok-scraper.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

학술 인용 (APA · BibTeX · CFF)

APA 인용

apidojo-io. (2026). tiktok-scraper security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/apidojo-io-tiktok-scraper/audits/1

BibTeX 인용

@techreport{apidojo-io-apidojo-io-tiktok-scraper-2026,
  author = {apidojo-io},
  title = {tiktok-scraper security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/apidojo-io-tiktok-scraper/audits/1},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "tiktok-scraper security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "apidojo-io"
date-released: "2026-09-30"
url: "https://skillstore.io/skills/apidojo-io-tiktok-scraper/audits/1"
identifiers:
  - type: other
    value: "skillstore:apidojo-io-tiktok-scraper:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

Compare Brand Activity

Prepare bounded requests for several public brand profiles, then compare returned views, likes, comments, and posting dates.

Study Public Conversations

Request comments and optional replies from selected videos for qualitative review, using approved collection scopes and retention rules.

Integrate TikTok Extraction

Adapt the Python or JavaScript client examples to retrieve actor datasets for an existing reporting workflow.

이 프롬프트를 사용해 보세요

Prepare a Profile Request

Prepare a request for [public TikTok profile] with at most 20 posts. Identify the actor and prerequisites without running it.

Configure a Filtered Search

Prepare a keyword search for [topic] in [country] during THIS_MONTH, limited to 100 posts. Describe the expected fields and provider dependencies.

Collect Comments and Replies

Prepare requests for comments from [video URLs], with replies enabled and a 50-item limit. Confirm scope and expected charges before any execution.

Design an Asynchronous Integration

Design an asynchronous Apify workflow for [approved profiles], capped at 200 collected items. Include secret handling, polling deadlines, bounded retries, and explicit billing-error checks.

모범 사례

Confirm provider terms, approved collection scope, and expected costs before starting paid actor runs.
Keep API tokens outside source files and shared prompts, and use the documented HTTPS authentication flow.
Set collection limits, budgets, and polling deadlines. Diagnose subscription restrictions from explicit provider errors rather than result counts.

피하기

Treating ten or fewer returned items as proof that a paid-plan upgrade is necessary.
Treating dataset retrieval limits as collection budgets or continuing status polling indefinitely.
Claiming verified performance, private-content access, or complete coverage from documentation examples alone.

자주 묻는 질문

What does this skill provide?

It provides instructions and examples for four Apify actors covering posts, profiles, comments, and location feeds.

Does it require an Apify subscription?

The documentation specifies a paid account and API token. Verify current requirements and actor pricing directly with Apify.

Which AI tools are listed as supported?

The report lists Claude, Codex, and Claude Code. Execution also requires suitable network access and the selected client tools.

Can it collect comments and replies?

The comments actor examples accept video URLs and an includeReplies option, with a maxItems setting for limiting collection.

Are the speed and success claims verified?

No. This review examined the skill documentation, not live actor performance, hosted implementations, or TikTok coverage.

Does a small result set prove a billing restriction?

No. A small result can be valid. Check explicit provider errors before recommending a subscription change.

개발자 세부 정보

작성자

apidojo-io

라이선스

MIT

Skillstore 리비전

버전 안내

작성자가 버전을 선언하지 않았습니다.

리포지토리

https://github.com/apidojo-io/social-media-skills/tree/50e2909dcad1033ac1ced8a9c2c3a77d401915a4/skills/tiktok-scraper

참조

421067cfa94823ceb4f1ab2c95ce369dddc36528

유지보수 최신성

2026. 10. 1.

사용량

0 다운로드 · 0 조회

파일 구조

📄 SKILL.md