Best use case
apify-lead-generation is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Scrape leads from multiple platforms using Apify Actors.
Scrape leads from multiple platforms using Apify Actors.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "apify-lead-generation" skill to help with this workflow task. Context: Scrape leads from multiple platforms using Apify Actors.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/apify-lead-generation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How apify-lead-generation Compares
| Feature / Agent | apify-lead-generation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Scrape leads from multiple platforms using Apify Actors.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Lead Generation
Scrape leads from multiple platforms using Apify Actors.
## When to Use
- You need business, creator, or contact leads from maps, search, social, or video platforms.
- The task involves selecting an Apify Actor to discover prospects and extract outreach data.
- You need exported lead data plus a concise summary of lead quality or segmentation.
## Prerequisites
(No need to check it upfront)
- `.env` file with `APIFY_TOKEN`
- Node.js 20.6+ (for native `--env-file` support)
- `mcpc` CLI tool: `npm install -g @apify/mcpc`
## Workflow
Copy this checklist and track progress:
```
Task Progress:
- [ ] Step 1: Determine lead source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the lead finder script
- [ ] Step 5: Summarize results
```
### Step 1: Determine Lead Source
Select the appropriate Actor based on user needs:
| User Need | Actor ID | Best For |
|-----------|----------|----------|
| Local businesses | `compass/crawler-google-places` | Restaurants, gyms, shops |
| Contact enrichment | `vdrmota/contact-info-scraper` | Emails, phones from URLs |
| Instagram profiles | `apify/instagram-profile-scraper` | Influencer discovery |
| Instagram posts/comments | `apify/instagram-scraper` | Posts, comments, hashtags, places |
| Instagram search | `apify/instagram-search-scraper` | Places, users, hashtags discovery |
| TikTok videos/hashtags | `clockworks/tiktok-scraper` | Comprehensive TikTok data extraction |
| TikTok hashtags/profiles | `clockworks/free-tiktok-scraper` | Free TikTok data extractor |
| TikTok user search | `clockworks/tiktok-user-search-scraper` | Find users by keywords |
| TikTok profiles | `clockworks/tiktok-profile-scraper` | Creator outreach |
| TikTok followers/following | `clockworks/tiktok-followers-scraper` | Audience analysis, segmentation |
| Facebook pages | `apify/facebook-pages-scraper` | Business contacts |
| Facebook page contacts | `apify/facebook-page-contact-information` | Extract emails, phones, addresses |
| Facebook groups | `apify/facebook-groups-scraper` | Buying intent signals |
| Facebook events | `apify/facebook-events-scraper` | Event networking, partnerships |
| Google Search | `apify/google-search-scraper` | Broad lead discovery |
| YouTube channels | `streamers/youtube-scraper` | Creator partnerships |
| Google Maps emails | `poidata/google-maps-email-extractor` | Direct email extraction |
### Step 2: Fetch Actor Schema
Fetch the Actor's input schema and details dynamically using mcpc:
```bash
export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"
```
Replace `ACTOR_ID` with the selected Actor (e.g., `compass/crawler-google-places`).
This returns:
- Actor description and README
- Required and optional input parameters
- Output fields (if available)
### Step 3: Ask User Preferences
Before running, ask:
1. **Output format**:
- **Quick answer** - Display top few results in chat (no file saved)
- **CSV** - Full export with all fields
- **JSON** - Full export in JSON format
2. **Number of results**: Based on character of use case
### Step 4: Run the Script
**Quick answer (display in chat, no file):**
```bash
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT'
```
**CSV:**
```bash
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT' \
--output YYYY-MM-DD_OUTPUT_FILE.csv \
--format csv
```
**JSON:**
```bash
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT' \
--output YYYY-MM-DD_OUTPUT_FILE.json \
--format json
```
### Step 5: Summarize Results
After completion, report:
- Number of leads found
- File location and name
- Key fields available
- Suggested next steps (filtering, enrichment)
## Error Handling
`APIFY_TOKEN not found` - Ask user to create `.env` with `APIFY_TOKEN=your_token`
`mcpc not found` - Ask user to install `npm install -g @apify/mcpc`
`Actor not found` - Check Actor ID spelling
`Run FAILED` - Ask user to check Apify console link in error output
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