Official agent skill

Apify Influencer Brand Collabs

by apify in apify/awesome-skills

Discover Instagram brand–creator partnerships by chaining Apify Actors.

OfficialApache-2.0Auto-check passedMarketing & SEO

Install Apify Influencer Brand Collabs

skills CLI
$ npx skills add apify/awesome-skills --skill apify-influencer-brand-collabs -a claude-code

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

GitHub CLI
$ gh skill install apify/awesome-skills apify-influencer-brand-collabs --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/apify/awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/apify-influencer-brand-collabs .claude/skills/apify-influencer-brand-collabs && 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/

Facts

Skill name
apify-influencer-brand-collabs
GitHub stars
266
Token cost
~1.8k tokens
SKILL.md length
674 words
Files
2
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

Discover Instagram brand–creator partnerships by chaining Apify Actors.

  • Works in 6 steps: Resolve the target → Build the Meta Ad Library URL → Fetch collaborations → …
  • The user asks who collabs with a brand
  • SKILL.md covers When to use, Inputs to gather, The pipeline and What to present, plus 4 more sections
  • Reaches instagram.com and facebook.com

What it does

Apify Influencer Brand Collabs is an agent skill from apify/awesome-skills, published by the product's own GitHub organization. Discover Instagram brand–creator partnerships by chaining Apify Actors. Use when the user asks who collabs with a brand, which brands a creator has done paid posts for, wants to audit an influencer's branded-content history, or wants to scope a brand's sponsorship roster. Triggers: - "who collabs with [brand] on Instagram?" - "what brands has [creator] done sponsored posts for?" - "find paid partnerships / branded content for [handle]" - "audit [influencer]'s brand deals" - "show me [brand]'s influencer roster"…

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Marketing & SEO, covering Influencer and creator marketing and Web scraping. It works with Apify and Instagram. The repository describes itself as: Community collection of Apify agent skills for AI coding assistants. The licence is Apache-2.0.

When your agent uses it

  • The user asks who collabs with a brand
  • Which brands a creator has done paid posts for
  • Wants to audit an influencers branded-content history
  • Wants to scope a brands sponsorship roster

Example prompts

  • “s branded-content history, or wants to scope a brand”
  • “who collabs with [brand] on Instagram?”
  • “what brands has [creator] done sponsored posts for?”
  • “/apify-influencer-brand-collabs”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Resolve the target
  2. Build the Meta Ad Library URL
  3. Fetch collaborations
  4. Detect direction empirically
  5. (optional) Content metrics
  6. (optional) Enrich the result side

What it can do on your machine

Read from SKILL.md and the folder at commit 1eb0cd0. 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 jsonc).

    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:

    • instagram.com
    • facebook.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Apify Influencer Brand Collabs loads about 1.8k tokens when it runs. Until then it costs about 180 tokens; SKILL.md has 674 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~180
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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 apify/awesome-skills at commit 1eb0cd0, republished under its Apache-2.0 licence (© apify). 674 words, ~1,755 tokens.

Download SKILL.mdSave it as .claude/skills/apify-influencer-brand-collabs/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
apify-influencer-brand-collabs
description
Discover Instagram brand–creator partnerships by chaining Apify Actors. Use when the user asks who collabs with a brand, which brands a creator has done paid posts for, wants to audit an influencer's branded-content history, or wants to scope a brand's sponsorship roster. **Triggers:** - "who collabs with [brand] on Instagram?" - "what brands has [creator] done sponsored posts for?" - "find paid partnerships / branded content for [handle]" - "audit [influencer]'s brand deals" - "show me [brand]'s influencer roster" Works in either direction — brand → creators or creator → brands — and detects direction from the data, so don't ask the user to declare it. Requires Apify MCP tools.
author
Natasha Lekh
author_url
https://github.com/natashalekh
metadata.keywords
influencer, brand, collaboration, sponsored, branded-content, partnership, instagram, meta-ad-library, creator-economy

Influencer–Brand Collaborations

Surface Instagram branded-content partnerships by chaining four Apify Actors against Meta's Ad Library. Distilled from the production influencer-brand-collabs mini-tool.

When to use

  • "Who has Nike paid to promote them this quarter?"
  • "What brands does @bellahadid do sponsored posts for?"
  • Auditing an account's branded-content history
  • Building a competitor's influencer roster

Don't use for: organic mentions or tags (use a hashtag/mentions scraper), TikTok or YouTube collabs (different platforms), generic competitor ads (query Meta Ad Library directly).

Inputs to gather

  1. Instagram handle or URL — @adidas or https://www.instagram.com/adidas/
  2. Lookback window — days; default 90
  3. Enrichment toggles (each adds cost + time):
    • Content insights — likes, comments, views per collab
    • Profile enrichment — followers, bio, verified status of the other side

Direction (brand vs creator) is detected empirically. Do not ask.

The pipeline

#ActorPurposeRequired
1apify/instagram-profile-scraperResolve the target's Facebook fbid✓
2apify/brand-collaboration-scraperPull branded-content posts from Meta's Ad Library✓
3apify/instagram-post-scraper + apify/instagram-reel-scraperEngagement metricsoptional
4apify/instagram-profile-scraper (again)Enrich the result-side partnersoptional

Call each via mcp__claude_ai_Apify__call-actor. Use mcp__claude_ai_Apify__fetch-actor-details first if you've never run one of these and want the exact input schema.

Step 1 — Resolve the target
jsonc
// actor: apify/instagram-profile-scraper
{ "usernames": ["adidas"] }

Grab fbid from the first item. No fbid → can't query Ad Library → stop and tell the user. Most common cause: private account.

Step 2 — Build the Meta Ad Library URL
https://www.facebook.com/ads/library/branded_content/?id={fbid}&query={username}&target=instagram&start_date={YYYY-MM-DD}&end_date={YYYY-MM-DD}

Date range = the lookback window (default 90 days, ending today).

Step 3 — Fetch collaborations
jsonc
// actor: apify/brand-collaboration-scraper
{ "startUrls": ["<ad library url>"], "resultsLimit": 10 }

Schema is fixed: every item has creator (always the influencer side) and brandPartners[0] (always the brand side). Do not try to infer direction from these fields.

Step 4 — Detect direction empirically

Count how often the target username appears on each side of the results:

  • target appears more on creator side → target is the influencer; results are the brands
  • target appears more on brandPartners side → target is the brand; results are the creators

⚠️ Do not use isBusinessAccount to infer this. It's unreliable — e.g. @fifaworldcup is a business account but appears as the creator of its own branded content.

Step 5 — (optional) Content metrics

Split collab URLs by type:

  • /reel/... → reel scraper
  • /p/... or /tv/... → post scraper
jsonc
// actor: apify/instagram-post-scraper
{ "username": ["<post urls>"], "resultsLimit": 1, "dataDetailLevel": "basicData" }

// actor: apify/instagram-reel-scraper
{ "username": ["<reel urls>"], "resultsLimit": 1 }

Match back to collabs via shortcode in the URL: /(p|reel|tv)/([A-Za-z0-9_-]+).

Engagement formula: likesCount + commentsCount + (videoViewCount ?? videoPlayCount ?? 0).

Run the two scrapers in parallel — they're independent.

Step 6 — (optional) Enrich the result side

Collect unique usernames from the side that is not the target. Then:

jsonc
// actor: apify/instagram-profile-scraper
{ "usernames": [<unique result-side usernames>] }

Only enrich the side the user actually cares about. The input handle is already known.

Show full SKILL.md (269 more words)Show less

What to present

After aggregation, surface:

  • Headline counts: total collabs, unique partners, total engagement (if metrics enriched)
  • Top 5 collabs by engagement — only meaningful when content insights were toggled on
  • Content-type mix: Post vs Reel; Reels usually dominate engagement
  • Weekly timeline across the date range — spikes reveal campaign launches
  • Per-partner card (when profiles enriched): handle, full name, followers, verified, category, collabs in this run, avg engagement

For who-questions, the partner list alone is enough. Metrics only matter for which-was-best-questions.

URL parsing

Strip Instagram's _u/ and _n/ deep-link prefixes before extracting the handle:

/instagram\.com\/(?:_u\/|_n\/)?([A-Za-z0-9_.]+)/i

These slugs are not usernames — skip them: explore, reels, stories, direct, accounts, about, p, reel, tv, tags, locations, _u, _n.

Pitfalls

  • Target is private → profile scraper returns no fbid. Bail early with a clear message.
  • No results → try in order: widen the date range, double-check the handle (strip _u/), confirm the account actually runs branded content. Meta only indexes ads they've classified as branded content.
  • Engagement is all zeros → user skipped content enrichment. Offer to re-run with it on.
  • Direction looks wrong in the output → re-check the empirical count. Don't trust isBusinessAccount.
  • Brand collabs with no metrics are still answer-shaped for who questions — don't gate the whole flow on enrichment.

Cost & time

Full 4-actor run: ~3–5 minutes, a few cents of Apify compute. Order of magnitude:

EnrichmentActors runApprox time
None21–2 min
+ Content3–42–4 min
+ Profiles+1+30–60 s

If the user just needs a partner list, skip both toggles.

Reference implementation

Production route this skill was distilled from: mini-tools-main/src/app/api/tools/influencer-brand-collabs/route.ts — full transformation logic, error handling, and slimmed display shapes for each scraper's output.

© apify, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/apify-influencer-brand-collabs of apify/awesome-skills.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 1eb0cd0

Compare with similar skills

Apify Influencer Brand Collabs 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.

Apify Influencer Brand Collabs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Apify Influencer Brand Collabs this skillapify/awesome-skills266—~1.8kAutomated safety check: PassApache-2.0
Apify Influencer Discoverysickn33/agentic-awesome-skills47k2 repos~1.3kAutomated safety check: NotesMIT
Apify Lead Generationsickn33/agentic-awesome-skills47k2 repos~1.2kAutomated safety check: NotesMIT
Apify Market Researchsickn33/agentic-awesome-skills47k2 repos~1.2kAutomated safety check: NotesMIT
Apify Multi-Platform Scraperapify/agent-skills2.4k2 repos~1.4kAutomated safety check: NotesNone
Tiktok Influencer Findergooseworks-ai/goose-skills1.2k1 repos~1.1kAutomated safety check: PassMIT

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Works with

Questions about Apify Influencer Brand Collabs

What does Apify Influencer Brand Collabs do?

Discover Instagram brand–creator partnerships by chaining Apify Actors. Apify Influencer Brand Collabs is an agent skill from apify/awesome-skills, published by the product's own GitHub organization. Discover Instagram brand–creator partnerships by chaining Apify Actors.

When should I use Apify Influencer Brand Collabs?

Apify Influencer Brand Collabs fits situations like: the user asks who collabs with a brand; which brands a creator has done paid posts for; wants to audit an influencers branded-content history; wants to scope a brands sponsorship roster.

How do I install Apify Influencer Brand Collabs in Claude Code?

Run `npx skills add apify/awesome-skills --skill apify-influencer-brand-collabs -a claude-code`. Or copy the skill folder (skills/apify-influencer-brand-collabs in apify/awesome-skills) into .claude/skills/apify-influencer-brand-collabs in your project. Claude Code loads it when a task matches its description.

How do I install Apify Influencer Brand Collabs in Codex?

Run `npx skills add apify/awesome-skills --skill apify-influencer-brand-collabs -a codex`. Or copy the skill folder (skills/apify-influencer-brand-collabs in apify/awesome-skills) into .agents/skills/apify-influencer-brand-collabs in your project. Codex loads it when a task matches its description.

Can I use Apify Influencer Brand Collabs 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 apify/awesome-skills --skill apify-influencer-brand-collabs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apify-influencer-brand-collabs, .gemini/skills/apify-influencer-brand-collabs, .github/skills/apify-influencer-brand-collabs and .opencode/skills/apify-influencer-brand-collabs in your project.

What does Apify Influencer Brand Collabs need to run?

SKILL.md names no scripts, command-line tools or credentials: Apify Influencer Brand Collabs is instructions for the agent only.

Does Apify Influencer Brand Collabs access the network?

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

Is Apify Influencer Brand Collabs 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 Apify Influencer Brand Collabs use?

Apify Influencer Brand Collabs is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Apify Influencer Brand Collabs use?

About 1.8k tokens (SKILL.md is roughly 7k 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 Apify Influencer Brand Collabs?

Skills that share tags, products or a category with Apify Influencer Brand Collabs: Apify Influencer Discovery (sickn33/agentic-awesome-skills, 47k stars), Apify Lead Generation (sickn33/agentic-awesome-skills, 47k stars), Apify Market Research (sickn33/agentic-awesome-skills, 47k stars) and Apify Multi-Platform Scraper (apify/agent-skills, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Apify Influencer Brand Collabs?

apify (a GitHub organization, an official publisher) maintains it in apify/awesome-skills, which has 266 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on September 22, 2026.

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