apify-lead-generation
Scrape leads from multiple platforms using Apify Actors.
- License 许可
- MIT
- 最近更新
- 2026-11-10
- Stars
- ★ 1
- Forks
- 0
01 前言 Front Matter
- name
- apify-lead-generation
- risk
- unknown
- source
- community
- description
- Scrape leads from multiple platforms using Apify Actors.
02 资源文件 1
- 脚本reference/scripts/run_actor.js11.5 KB
03 SKILL.md 正文
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)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI 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:
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:
- 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
- Number of results: Based on character of use case
Step 4: Run the Script
Quick answer (display in chat, no file):
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT'
CSV:
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:
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
Timeout - Reduce input size or increase --timeout
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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