scrapecreators

scrapecreators is a skill for Claude Code, Codex from SELAT-AI/selat-skills. It costs 140 tokens per session (2,268 once invoked), scanned A, original, Apache-2.0.

A tool for collecting data from Instagram, TikTok, LinkedIn, and X/Twitter. It can work with profiles, posts, tweets, company pages, hashtags, and trending content.

In plain words
What is it for?
Social listening, influencer research, competitor analysis, content research, lead generation, and retrieving specified social-media profiles or posts.
Why use it?
It removes the need to gather social-media information manually across several platforms and services.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Social listening, influencer research, competitor analysis, content research, lead generation, and retrieving specified social-media profiles or posts.

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Install with agentmods
npx agentmods add skills/selat-ai/selat-skills/scrapecreators
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add SELAT-AI/selat-skills --skill scrapecreators
Clone the repo
git clone --depth 1 https://github.com/SELAT-AI/selat-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for scrapecreators

README.md
[![agentmods](https://agentmods.dev/badge/skills/selat-ai/selat-skills/scrapecreators/github.svg)](https://agentmods.dev/skills/selat-ai/selat-skills/scrapecreators)
Your own site
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/scrapecreators"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/scrapecreators/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for scrapecreators

Your own site · 80×15
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/scrapecreators"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/scrapecreators.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,268 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00140 $0.02268
Opus 5.5 $0.00056 $0.00907
Sonnet 5.5 $0.00028 $0.00454
Haiku 4.5 $0.00014 $0.00227

Measured 22d ago against content hash c3e01a1b7e6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

scrapecreators scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/scrapecreators/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

scrapecreators

When To Use

Use this skill when the user needs one comprehensive public social-media dossier that deliberately spans Twitter/X, LinkedIn, Instagram, and TikTok. It retrieves public profile and content evidence for one coherent target and adds a relevant TikTok hashtag plus a region-specific trending baseline.

This is a fixed, paid bundle—not an endpoint menu. Do not use it for one simple profile or post lookup; choose the smallest matching endpoint or a narrower skill instead. It does not retrieve protected/private content, reveal contact details, send messages, post, follow, like, or otherwise mutate an account.

Workflow

  1. Install the vetted recipe:

    selat skill install scrapecreators
    
  2. Collect all nine required inputs and verify that they describe one coherent research target:

    • twitterHandle and tweetId;
    • linkedinProfileUrl, linkedinPostUrl, and linkedinCompanyUrl;
    • instagramHandle;
    • tiktokHandle, tiktokHashtag, and region.

    Handles may differ across platforms. Remove leading @ and # characters. Confirm that the tweet and LinkedIn post are public and relevant to the same subject; do not substitute unrelated examples or placeholders.

  3. Probe every payment challenge for free:

    selat skill verify ~/.config/selat/skills/scrapecreators \
      --twitterHandle "satyanadella" \
      --tweetId "1632748758613241857" \
      --linkedinProfileUrl "https://www.linkedin.com/in/satyanadella/" \
      --linkedinPostUrl "https://www.linkedin.com/posts/satyanadella_its-been-a-busy-few-weeks-between-today-activity-7323480567562276865-F2mk" \
      --linkedinCompanyUrl "https://www.linkedin.com/company/microsoft/" \
      --instagramHandle "microsoft" \
      --tiktokHandle "microsoft" \
      --tiktokHashtag "microsoft" \
      --region "US" \
      --live-probe
    
  4. Show the 11 current live quotes, their expected cumulative total, and the sum of all per-step caps. Wait for explicit approval of a cumulative session budget no higher than the cap sum. A free verification is not evidence that a particular public identity will return useful provider data.

Read the full file on GitHub · 199 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 22d ago Changed · +132 lines · -33 tokens per session c3e01a1b7e6b
  2. 1mo ago Changed · +2 tokens per session 7a72b3297e3b
  3. 1mo ago First seen · 67 lines · 171 tokens per session scan A 36efc0415da3

Subscribe to this mod's changes

scrapecreators is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 140 tokens to every session and 2,268 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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