Agent skill

Scrapecreators API

by gooseworks-ai in gooseworks-ai/goose-skills

Provider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators.

MITAuto-check passed

Install Scrapecreators API

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills scrapecreators-api --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/social/capabilities/scrapecreators-api .claude/skills/scrapecreators-api && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "scrapecreators-api" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/scrapecreators-api into .claude/skills/scrapecreators-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrapecreators-api", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/scrapecreators-api

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills scrapecreators-api --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/social/capabilities/scrapecreators-api .agents/skills/scrapecreators-api && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "scrapecreators-api" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/scrapecreators-api into .agents/skills/scrapecreators-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrapecreators-api", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills scrapecreators-api --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/social/capabilities/scrapecreators-api .cursor/skills/scrapecreators-api && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "scrapecreators-api" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/scrapecreators-api into .cursor/skills/scrapecreators-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrapecreators-api", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/social/capabilities/scrapecreators-api

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills scrapecreators-api --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/social/capabilities/scrapecreators-api .gemini/skills/scrapecreators-api && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "scrapecreators-api" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/scrapecreators-api into .gemini/skills/scrapecreators-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrapecreators-api", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills scrapecreators-api

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/social/capabilities/scrapecreators-api .github/skills/scrapecreators-api && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "scrapecreators-api" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/scrapecreators-api into .github/skills/scrapecreators-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrapecreators-api", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills scrapecreators-api --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/social/capabilities/scrapecreators-api .opencode/skills/scrapecreators-api && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "scrapecreators-api" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/scrapecreators-api into .opencode/skills/scrapecreators-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrapecreators-api", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: scrapecreators-api
GitHub stars: 1.2k
Token cost: ~1.3k tokens
SKILL.md length: 579 words
Files: 2
Skills in repo: 273
Repo updated: Oct 8, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Provider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators.

Works in 4 steps: GooseWorks MCP available: inspect and… → Local GooseWorks CLI available:… → User-owned ScrapeCreators key available:… → …
SKILL.md covers Runtime selection, Endpoint families, Collection rules and Output contract
Reaches docs.scrapecreators.com and api.scrapecreators.com; needs SCRAPECREATORS_API_KEY

What it does

Scrapecreators API is an agent skill from gooseworks-ai/goose-skills. Provider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators. Use as a dependency of research workflows, not as the final user-facing deliverable.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It works with Instagram, TikTok and Model Context Protocol. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

Example prompts

“/scrapecreators-api”

Requirements

A credential in SCRAPECREATORS_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

GooseWorks MCP available: inspect and call the live call_data_provider tool. Pass the operation fields directly. This is the preferred…
Local GooseWorks CLI available: translate the operation into gooseworks call , adding the method, query, or body options represented in…
User-owned ScrapeCreators key available: call https://api.scrapecreators.com with SCRAPECREATORS_API_KEY in the x-api-key header, using…
No runtime available: ask the user to connect GooseWorks MCP, sign in through the local GooseWorks CLI, or provide their own…

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- docs.scrapecreators.com
- api.scrapecreators.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- SCRAPECREATORS_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scrapecreators API loads about 1.3k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 579 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~66
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 579 words, ~1,347 tokens.

Download SKILL.mdSave it as .claude/skills/scrapecreators-api/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: scrapecreators-api
description: Provider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators. Use as a dependency of research workflows, not as the final user-facing deliverable.

ScrapeCreators API

Use ScrapeCreators when a workflow needs structured public social or ad-library data at a scale that ordinary web search cannot provide.

Runtime selection

Task skills describe each request as an environment-neutral operation containing provider, method, path, and optional query or body. Execute that same operation through the first available runtime:

GooseWorks MCP available: inspect and call the live call_data_provider tool. Pass the operation fields directly. This is the preferred path in ChatGPT, Cowork, and any client without a terminal. It uses the first-party GooseWorks ScrapeCreators proxy and managed key; it does not route through Orthogonal.
Local GooseWorks CLI available: translate the operation into gooseworks call <provider> <path>, adding the method, query, or body options represented in the operation. The CLI uses the same first-party proxy.
User-owned ScrapeCreators key available: call https://api.scrapecreators.com<path> with SCRAPECREATORS_API_KEY in the x-api-key header, using the operation's method, query, and JSON body.
No runtime available: ask the user to connect GooseWorks MCP, sign in through the local GooseWorks CLI, or provide their own ScrapeCreators key. Do not pretend the operation ran.

Prefer MCP whenever call_data_provider is registered, even if a shell might also exist. Never ask for a separate provider key when the managed MCP or CLI path is available. Never print, store, or return either credential.

Example operation:

yaml

provider: scrapecreators
method: GET
path: /v1/instagram/profile
query:
  handle: brand

Use ScrapeCreators' official OpenAPI as the endpoint source of truth: https://docs.scrapecreators.com/openapi.json. Do not use Orthogonal search or details to discover ScrapeCreators operations because its mirrored catalog can be incomplete.

Endpoint families

Need	Common endpoint
Instagram profile, posts, or comments	`/v1/instagram/profile`, `/v2/instagram/user/posts`, `/v1/instagram/post`, `/v2/instagram/post/comments`
TikTok profile, posts, search, trends	`/v1/tiktok/profile`, `/v3/tiktok/profile/videos`, `/v2/tiktok/video`, `/v1/tiktok/search/hashtag`, `/v1/tiktok/get-trending-feed`
YouTube video, channel, transcript, comments	`/v1/youtube/video`, `/v1/youtube/channel`, `/v1/youtube/video/transcript`, `/v1/youtube/video/comments`
X profile, posts, or post details	`/v1/twitter/profile`, `/v1/twitter/user-tweets`, `/v1/twitter/tweet`
LinkedIn profile, company, posts, or ads	`/v1/linkedin/profile`, `/v1/linkedin/company`, `/v1/linkedin/post`, `/v1/linkedin/ads/search`
Meta Ad Library	`/v1/facebook/adLibrary/search/ads`, `/v1/facebook/adLibrary/ad`
TikTok Ad Library	Resolve the current search and ad-detail operations from the official OpenAPI
Google advertiser ads	`/v1/google/company/ads`, `/v1/google/ad`
TikTok Shop products, reviews, and creator showcases	Resolve the current shop search, product, review, and user-showcase operations from the official OpenAPI
Instagram and YouTube discovery	Resolve current Reel, audio, Shorts, hashtag, search, and trend operations from the official OpenAPI
Reddit, Threads, Bluesky, and Pinterest research	Resolve current search, profile, post, comment, board, and pin operations from the official OpenAPI
Public creator links and shops	Resolve current Linktree, Komi, Pillar, Linkbio, Linkme, and Amazon Shop operations from the official OpenAPI

Show full SKILL.md (177 more words)Show less

Most operations are GET requests. ScrapeCreators' official OpenAPI currently also defines POST variants for Meta ad search, Meta company ads, and Reddit post comments. Use POST only when the official operation requires it:

yaml

provider: scrapecreators
method: POST
path: /v1/facebook/adLibrary/search/ads
body:
  query: running shoes
  country: US

Endpoint names can change. If a request fails or the exact parameters are unclear, read https://docs.scrapecreators.com/openapi.json before guessing.

Collection rules

Confirm platform, market, time window, and sample size.
Start with a small request and inspect the response shape.
Follow the returned cursor until the requested sample is reached or no cursor remains.
Keep the raw source URL, creator handle, platform, publication date, and engagement fields with every item.
Deduplicate by platform-native content ID or canonical URL.
Separate facts returned by the API from conclusions inferred during analysis.
Do not use follower count as a proxy for audience fit or post quality.

Output contract

Provider calls should return a normalized source set for the parent workflow:

json

{
  "platform": "instagram",
  "query": "brand",
  "collected_at": "ISO-8601",
  "items": [{"id":"...","url":"...","author":"...","published_at":"...","text":"...","metrics":{}}],
  "next_cursor": null,
  "limitations": []
}

This is a provider skill. Do not stop after dumping API output; return control to the research skill that requested the data.

Files

SKILL.md and 1 other file in skills/social/capabilities/scrapecreators-api of gooseworks-ai/goose-skills.

SKILL.md
skill.meta.json

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Scrapecreators API next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scrapecreators API compared with similar skills
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Scrapecreators API this skillgooseworks-ai/goose-skills	1.2k	—	~1.3k	Automated safety check: Pass	MIT	2 days ago
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Higgsfield Content FactoryDaanKieft/ai-influencer	116	—	~15k	Automated safety check: Pass	None	4 mo ago
Taisly Social Media Postingsickn33/agentic-awesome-skills	47k	1 repos	~768	Automated safety check: Pass	MIT	2 days ago
Hookradar Creative Intelligencedavepoon/buildwithclaude	3.6k	—	~1.7k	Automated safety check: Pass	MIT	2 days ago
Bulkpublish Social Schedulingdavepoon/buildwithclaude	3.6k	—	~1.3k	Automated safety check: Pass	MIT	2 days ago

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Works with

Questions about Scrapecreators API

What does Scrapecreators API do?

Provider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators. Scrapecreators API is an agent skill from gooseworks-ai/goose-skills. Provider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators.

How do I install Scrapecreators API in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a claude-code`. Or copy the skill folder (skills/social/capabilities/scrapecreators-api in gooseworks-ai/goose-skills) into .claude/skills/scrapecreators-api in your project. Claude Code loads it when a task matches its description.

How do I install Scrapecreators API in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a codex`. Or copy the skill folder (skills/social/capabilities/scrapecreators-api in gooseworks-ai/goose-skills) into .agents/skills/scrapecreators-api in your project. Codex loads it when a task matches its description.

Can I use Scrapecreators API in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill scrapecreators-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scrapecreators-api, .gemini/skills/scrapecreators-api, .github/skills/scrapecreators-api and .opencode/skills/scrapecreators-api in your project.

What does Scrapecreators API need to run?

Going by SKILL.md and its folder, Scrapecreators API needs credentials named SCRAPECREATORS_API_KEY. Our summary lists: A credential in SCRAPECREATORS_API_KEY.

Does Scrapecreators API access the network?

SKILL.md names 2 domains. In commands or code: docs.scrapecreators.com and api.scrapecreators.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Scrapecreators API safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scrapecreators API use?

Scrapecreators API is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scrapecreators API use?

About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scrapecreators API?

Skills that share tags, products or a category with Scrapecreators API: Taisly Social Media Posting (taisly/agent, 217 stars), Higgsfield Content Factory (DaanKieft/ai-influencer, 116 stars), Taisly Social Media Posting (sickn33/agentic-awesome-skills, 47k stars) and Hookradar Creative Intelligence (davepoon/buildwithclaude, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scrapecreators API?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Scrapecreators API

Facts

At a glance

What it does

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

ScrapeCreators API

Runtime selection

Endpoint families

Collection rules

Output contract

Files

Compare with similar skills

Similar skills

More from gooseworks-ai/goose-skills

Related

Questions about Scrapecreators API