finding-ecommerce-brands-for-outreach
Discovers e-commerce and DTC brands on Instagram and TikTok using apidojo's scrapers on Apify. Triggers when the user asks to: find DTC brands on Instagram for outreach, discover Shopify brands on social media, identify e-commerce companies running TikTok shops, build an outreach list of online brands, find brands selling in a specific product category on social media, identify fast-growing DTC companies for partnerships or sales, or compile a list of online retailers active on Instagram or TikTok. Returns brand handle, follower count, bio, product category, and engagement rate. Ideal for wholesale suppliers, SaaS vendors targeting e-commerce, and B2B partnership teams.
- Installs
- 788
- Last 24h
- +8
- Trending rank
- #9600
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-ecommerce-brands-for-outreach- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads finding-ecommerce-brands-for-outreach automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Finding E-commerce Brands for Outreach
Finds DTC and e-commerce brands active on Instagram and/or TikTok by searching product-category hashtags and filtering accounts whose bios signal commercial activity (shop links, product keywords, "DTC", "founder", etc.).
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | ✅ | [] | Instagram URLs — profiles, hashtags, locations, audio pages, reels |
until | string | Optional | — | Scrape posts until this date (YYYY-MM-DD) |
maxItems | number | Optional | Unlimited | Maximum posts to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Define product category and target platform(s)
- [ ] Step 2: Build hashtag and keyword list
- [ ] Step 3: Scrape accounts from product hashtags
- [ ] Step 4: Filter for brand signals in bio
- [ ] Step 5: Rank and deliver outreach list
Step 1: Clarify Parameters
Ask the user for:
- Product category (e.g., "skincare", "dog accessories", "home gym equipment")
- Platform — Instagram, TikTok, or both
- Brand signals to look for (e.g., shop links, "founder", "official", product-related keywords in bio)
- Min followers (default: 1,000 — filters out personal accounts)
- Max followers (optional — e.g., 500,000 to focus on emerging brands)
- Number of brands (default: 50)
Step 2: Build Hashtag List
Generate product-category hashtags. Bias toward brand/seller hashtags, not consumer hashtags:
- Skincare →
#skincarebrand,#skincarefounder,#cleanbeauty,#skincareproducts - Dog accessories →
#dogbrand,#petbusiness,#dogaccessories,#handmadedogtoys - Home gym →
#homegymequipment,#fitnessbrand,#gymequipment,#fitnessproducts
Step 3: Scrape Platform(s)
Instagram — If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~instagram-scraper"
Input:
{
"keywords": ["[hashtag1]", "[hashtag2]", "[hashtag3]"],
"maxItems": 100
}
TikTok — If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~tiktok-scraper"
Input:
{
"keywords": ["[hashtag1]", "[hashtag2]"]
}
REST API fallback (Instagram):
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~instagram-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"keywords": ["[hashtag1]", "[hashtag2]"], "maxItems": 100}'
REST API fallback (TikTok):
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"keywords": ["[hashtag1]", "[hashtag2]"]}'
Collect unique account handles from results. Wait for SUCCEEDED before fetching dataset.
Step 4: Filter for Brand Signals
From profile bios, keep accounts where ANY of the following are true:
- Bio contains a link (Linktree, Shopify store, website)
- Bio contains keywords: "shop", "founder", "CEO", "official", "buy", "available at", "®", "™"
- Bio contains product-specific language matching the category
- Profile is a business account (Instagram only:
businessCategoryNamefield present) - Follower count within specified range
Remove: personal accounts without shop signals, celebrity/influencer accounts (unless user wants these), accounts with 0 posts.
Step 5: Rank and Format
Rank by engagement rate (likes + comments / followers) within follower range.
Output Format
# E-commerce Brand Outreach List: [CATEGORY]
Platform(s): [Instagram / TikTok / Both] | Results: [N] brands | Date: [DATE]
| # | Handle | Platform | Followers | Category | Bio Excerpt | Website | Eng. Rate |
|---|--------|----------|-----------|----------|-------------|---------|-----------|
| 1 | @[name] | [IG/TT] | [N] | [cat] | [bio] | [url] | [X.X%] |
## Highlights
- Fastest growing: @[handle] — [N] followers, [X.X%] engagement
- Most established: @[handle] — [N] followers, [N] posts
- Most active: @[handle] — posts [X]x per week
## Notes
- [N] total accounts found across hashtags
- [N] filtered out (no brand signals in bio)
- [N] final brands in list
Troubleshooting
Mostly personal accounts in results: Use more brand-specific hashtags (e.g., #[category]brand instead of #[category]).
Too few results: Expand hashtag list or lower minimum follower count.
Results from large established brands only: Add #small[category]brand, #indie[category], or #handmade[category] hashtags.
Recommended — run_actor.js (handles waiting, output, and file saving automatically):
# Quick answer (prints table to chat)
node scripts/run_actor.js \
--actor "apidojo~instagram-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~instagram-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~instagram-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.json --format json
APIFY_TOKENmust be set in environment or.envfile.
FAQ
What does the finding-ecommerce-brands-for-outreach skill do?
Discovers e-commerce and DTC brands on Instagram and TikTok using apidojo's scrapers on Apify. Triggers when the user asks to: find DTC brands on Instagram for outreach, discover Shopify brands on social media, identify e-commerce companies running TikTok shops, build an outreach list of online brands, find brands selling in a specific product category on social media, identify fast-growing DTC companies for partnerships or sales, or compile a list of online retailers active on Instagram or TikTok. Returns brand handle, follower count, bio, product category, and engagement rate. Ideal for wholesale suppliers, SaaS vendors targeting e-commerce, and B2B partnership teams.
How do I install finding-ecommerce-brands-for-outreach?
Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-ecommerce-brands-for-outreach in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/finding-ecommerce-brands-for-outreach/ (personal) or .claude/skills/finding-ecommerce-brands-for-outreach/ (project).
Which AI agents can use finding-ecommerce-brands-for-outreach?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is finding-ecommerce-brands-for-outreach safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains finding-ecommerce-brands-for-outreach?
It is published by apidojo-io in apidojo-io/apidojo-skills. It has 788 recorded installs.
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