The official Anysite app is now available in the Make.com integration store. Connect Anysite's REST API to your Make scenarios and access a growing ecosystem of data extraction modules—core social platforms and custom web parsing for any website.
Important: The Make app is designed for data extraction (read operations only). If you need write operations like posting to social media, use the Anysite REST API directly via Make's HTTP module.
This is the standard REST API integration using credit-based pricing—not the MCP Unlimited plan. If you're building AI agents with Make's AI features, see our MCP integration guide instead.
What You Get
The Anysite app in Make gives you direct access to Anysite's expanding API ecosystem:
Core Social Platforms
- LinkedIn (24 modules): Profile data, company profiles, employee lists, search, posts, comments, Sales Navigator
- Instagram (8 modules): Profiles, posts, reels, comments, likes, followers, search
- Twitter/X (4 modules): Profiles, tweets, search
- Reddit (5 modules): Posts, comments, user activity, search
- Y Combinator (2 modules): Company lookup, company search
AI-Generated APIs
Anysite automatically generates and maintains structured APIs for:
- Pinterest (boards, pins, profiles)
- Amazon (products, reviews, pricing)
- BuiltWith (tech stacks, company data)
- TrustPilot (reviews, ratings)
- GitHub (repositories, users, issues)
- Hacker News (posts, comments)
- WikiLeaks (documents, search)
- And more being added regularly
Custom Web Parsing
The Make app includes access to Anysite's web-to-API feature:
- Parse ANY webpage into structured JSON
- Extract sitemaps from any domain
- DuckDuckGo search integration
As Anysite adds new endpoints, Make users get them automatically. No app updates required—your Make scenarios gain access to new APIs as soon as they're deployed.
Each API call costs 1 credit. No per-request fees beyond your Anysite plan.
The Alpha Agent: Turn Any Website Into an API
The biggest differentiator: you're not limited to pre-built endpoints.
Anysite's web parser lets you extract structured data from any website in your Make scenarios:
- Target any URL - Company websites, job boards, directories, competitor sites
- Get structured JSON - Clean, parsed data ready for your workflow
- No scraping code - Just configure the endpoint and run
This means the effective "endpoint count" is unlimited. If it's on the web, you can extract it through Make.
How It Works
- Install the app from Make's integration store
- Connect your Anysite account using your API key from app.anysite.io
- Add Anysite modules to your scenarios
- Configure parameters (keywords, URLs, result counts)
- Run your scenario and process the structured JSON responses
The app uses Anysite's REST API endpoints with standard credit-based pricing.
Pricing: Credit-Based Plans
| Plan | Price | Credits/Month | Cost Per Request |
|---|---|---|---|
| Free | $0 | 100 | - |
| Basic | $20 | 700 | $0.029 |
| Growth | $50 | 2,000 | $0.025 |
| Pro | $250 | 12,500 | $0.020 |
| Enterprise | Custom | Unlimited | Custom |
Each API call = 1 credit. Monitor usage in your Anysite dashboard.
Make vs MCP: What's The Difference?
Make.com App (this article)
- REST API endpoints
- Credit-based pricing
- Standard automation scenarios
- Fixed workflows with predefined steps
- Access to growing endpoint library
MCP for AI Agents (different)
- Natural language requests
- $30/month unlimited usage
- AI-powered autonomous agents
- Dynamic, adaptive workflows
If you're using Make's AI Agent features, you want the MCP integration instead.
Example Use Cases
Lead Generation
- Search LinkedIn for "marketing manager at tech companies"
- Extract profile data (name, title, company, location)
- Get company details and employee counts
- Cross-reference with BuiltWith tech stack data
- Save to Google Sheets or your CRM
- Schedule to run daily
Social Monitoring
- Search Instagram posts by hashtag
- Extract post details, engagement metrics
- Identify influencers and top-performing content
- Cross-reference with Twitter activity
- Send alerts via Slack or email
- Track competitors automatically
Content Aggregation
- Search Reddit for industry discussions
- Extract top posts and comments
- Pull related Hacker News threads
- Analyze sentiment and engagement
- Generate weekly digest reports
- Share findings with your team
Recruitment Automation
- Search LinkedIn for candidate profiles
- Extract work history and skills
- Parse their personal websites for portfolio work
- Check GitHub activity for developers
- Score candidates automatically
- Add qualified leads to ATS
Competitive Intelligence
- Parse competitor pricing pages
- Extract product features from their site
- Monitor their social media presence
- Check their tech stack via BuiltWith
- Track job postings on their careers page
- Compile weekly competitive reports
Setup Guide
Step 1: Get Your Anysite API Key
Sign up at anysite.io and generate an API key from your dashboard:
- Go to app.anysite.io
- Navigate to API Keys section
- Click "Generate New Key"
- Copy your access token
Step 2: Install the Anysite App
In Make.com:
- Open your scenario
- Click "+" to add a module
- Search for "Anysite"
- Select the Anysite app
- Click "Add" to install
Step 3: Connect Your Account
- Click "Create a connection"
- Paste your Anysite API key
- Click "Save"
- Test the connection
Step 4: Configure Your First Module
Example: LinkedIn Profile Search
- Select "Search LinkedIn Users" action
- Set search parameters:
- Keywords: "product manager"
- Location: "San Francisco"
- Count: 10
- Run the module
- Review the JSON response
Step 5: Process the Data
Add modules to:
- Parse JSON responses
- Filter results
- Transform data formats
- Route to other services
- Store in databases
Available Modules
The Anysite app includes dedicated modules for data extraction across major platforms:
LinkedIn Modules (24)
- Get LinkedIn User Details
- Get LinkedIn User Posts
- Get LinkedIn User Comments
- Get LinkedIn User Reactions
- Get LinkedIn User Email
- Get LinkedIn User Endorsers
- Get LinkedIn Company
- Get LinkedIn Company Employees
- Get LinkedIn Company Employee Stats
- Get LinkedIn Company Posts
- Get LinkedIn Group
- Get LinkedIn Post
- Get LinkedIn Post Comments
- Get LinkedIn Post Reactions
- Get LinkedIn Post Reposts
- Search LinkedIn Users
- Search LinkedIn Companies
- Search LinkedIn Posts
- Search LinkedIn User by Email
- Search LinkedIn Educations
- Search LinkedIn Industries
- Search LinkedIn Locations
- Google Search LinkedIn Companies
- Sales Navigator Search Users (premium feature for advanced lead filtering)
Instagram Modules (8)
- Get Instagram User
- Get Instagram User Posts
- Get Instagram User Reels
- Get Instagram User Followers/Following
- Get Instagram Post
- Get Instagram Post Comments
- Get Instagram Post Likes
- Search Instagram Posts
Twitter/X Modules (4)
- Get Twitter/X User
- Get Twitter/X User Posts
- Search Twitter/X Posts
- Search Twitter/X Users
Reddit Modules (5)
- Get Reddit Post
- Get Reddit Post Comments
- Get Reddit User Posts
- Get Reddit User Comments
- Search Reddit Posts
Y Combinator Modules (2)
- Get Y Combinator Company
- Search Y Combinator Companies
Web Tools (3)
- Parse Webpage
- Get Sitemap
- Search DuckDuckGo
Each module has built-in parameter configuration and returns structured JSON. All modules are read-only data extraction operations.
Rate Limits
| Plan | Requests/Hour |
|---|---|
| Free | 100 |
| Pro | 1,000 |
| Enterprise | Custom |
Requests are rate-limited by plan tier. Implement exponential backoff in your scenarios to handle rate limit responses gracefully.
Best Practices
1. Search first, extract details second
Bad approach:
For each profile URL → Get full profile dataGood approach:
Search profiles → Get URLs → Extract details for matches onlyThis saves credits by filtering before extracting.
2. Use result count limits
Always set reasonable count parameters:
- Start small (5-10 results)
- Scale up based on actual needs
- Don't request max results by default
3. Cache responses
Use Make's data stores to cache:
- Company profiles that rarely change
- User profiles for recent lookups
- Search results for repeated queries
4. Handle errors properly
Add error handlers for:
- Rate limit responses (429)
- Invalid parameters (400)
- Network timeouts
- API downtime
Implement retry logic with exponential backoff.
5. Monitor credit usage
Check your Anysite dashboard regularly:
- Track daily/weekly credit burn
- Identify high-cost scenarios
- Optimize before hitting limits
- Upgrade plans proactively
6. Leverage the web parser strategically
Use pre-built endpoints when available (faster, more reliable). Use the web parser for:
- Sites without dedicated endpoints
- One-off data extraction needs
- Custom data sources specific to your workflow
Support
Documentation
- Anysite API docs: api.anysite.io/redoc
- Make.com help: make.com/help
Contact
- Email: hello@anysite.io
- GitHub: github.com/anysiteio
Community
- Twitter: @anysite_io
- Telegram: @anysiteio
What's Next?
- Install the Anysite app
- Get your API key
- Build your first scenario
- Check our use cases guide for inspiration
For AI agent workflows with natural language requests and unlimited usage, see our MCP integration instead.