API Integration for Influencer Platforms: A Complete 2026 Guide

Introduction

In 2025, 88% of marketing agencies used API integrations to streamline influencer campaign management, according to the Influencer Marketing Hub's latest industry report. Yet many brands still rely on manual spreadsheets and email chains—a workflow that simply doesn't scale.

API integration for influencer platforms is the programmatic connection between your tools, applications, and social media platforms that enables automated data exchange, real-time synchronization, and seamless workflow automation. Whether you're managing creator discovery, tracking campaign performance, or processing payments, API integration eliminates repetitive tasks and gives you access to accurate, up-to-the-minute data across multiple platforms simultaneously.

The influencer marketing landscape has shifted dramatically. Platform APIs have become more restrictive (TikTok's API access now requires formal approval), while simultaneously becoming more powerful (Instagram's Graph API now includes reels engagement metrics). As we head into 2026, understanding how to integrate these APIs effectively isn't optional—it's essential for brands and agencies that want to stay competitive.

This guide covers everything from authentication and security frameworks to real-world cost analysis and advanced troubleshooting strategies. You'll learn how to choose the right integration approach, avoid costly mistakes, and implement solutions that scale with your business. We'll also show you how InfluenceFlow simplifies API integration for teams without dedicated developers.

What Is API Integration for Influencer Platforms?

An Application Programming Interface (API) is essentially a bridge that lets different software systems talk to each other. When you integrate an API into your influencer marketing workflow, you're giving your tools permission to request and exchange data automatically.

Think of it this way: instead of manually logging into Instagram's creator dashboard, downloading a CSV report, pasting the data into your spreadsheet, and then uploading it to your campaign management tool, an API integration handles all of this instantly. The data flows automatically, updates in real-time, and eliminates human error.

In the influencer marketing context, APIs enable: - Real-time performance tracking across Instagram, TikTok, YouTube, and other platforms - Automated creator discovery based on audience demographics and engagement metrics - Streamlined contract and payment workflows without leaving your platform - Multi-platform campaign orchestration from a single dashboard - Data synchronization between your CRM, email marketing tool, and influencer platform

The significance of API integration became clear in 2024-2025 when Instagram's algorithm changes affected influencer metrics. Brands using APIs to sync data in real-time caught the changes immediately and adjusted strategies within hours. Those using manual reporting were weeks behind.

Why API Integration for Influencer Platforms Matters in 2026

Eliminating Manual Data Entry at Scale

Manual data management doesn't just waste time—it costs money. According to a 2025 Capterra report, marketing teams spend an average of 18 hours per week on data entry and reconciliation tasks. For a team managing 50+ influencer relationships, that's nearly two full-time employees doing nothing but copy-pasting.

API integration reduces this workload by 94%, allowing your team to focus on strategy instead of spreadsheets.

Real-Time Decision Making

When a campaign is performing exceptionally well or underperforming, you need to know immediately. Manual reporting introduces a 24-48 hour lag. APIs sync data continuously, giving you metrics updates in real-time so you can pause underperforming campaigns or scale successful ones instantly.

Multi-Platform Consistency

Managing creators across Instagram, TikTok, YouTube, and LinkedIn simultaneously creates a data nightmare. One platform might show 50,000 followers while another shows 48,500 due to sync delays. APIs maintain a single source of truth, ensuring all your tools show consistent, verified data.

Compliance and Auditability

GDPR, CCPA, and platform terms of service all impose strict requirements around how creator data is stored and processed. APIs enable automatic logging of data access, modification timestamps, and compliance documentation—critical for audits.

Scalability Without Adding Headcount

As your creator network grows from 10 to 100 to 1,000 influencers, manual processes become impossible. APIs scale infinitely without requiring additional staff.

REST vs. GraphQL vs. Webhooks: Choosing Your Integration Approach

Different integration approaches serve different purposes. Understanding their trade-offs helps you make the right technical decision.

REST APIs: The Traditional Workhorse

REST (Representational State Transfer) has been the industry standard for over a decade. Instagram's Basic Display API, YouTube Creator Studio, and most legacy influencer platforms use REST.

How it works: Your application sends an HTTP request (GET, POST, PUT, DELETE) to the API endpoint, and the server returns data in JSON format.

Example use case: You need to fetch profile data for 100 creators. Your system sends 100 separate requests, and each request returns the full profile object with all available fields—even if you only need 3 fields (name, follower count, engagement rate).

Real-world scenario: A brand managing 500 influencers uses REST APIs to pull performance data daily. Each creator profile returns ~2MB of data. Daily data pull = 1GB+ of bandwidth consumption. Annually, that's 365GB of wasted data transfer—costing approximately $3,000-5,000 depending on your infrastructure provider.

2026 consideration: Instagram deprecated several REST endpoints in 2025. Brands relying on REST must now use the newer endpoints, which require re-authentication and testing.

GraphQL: The Modern Alternative

GraphQL lets you request exactly the data you need—no more, no less.

Same scenario with GraphQL: You query for 100 creator profiles requesting only name, follower count, and engagement rate. The server returns exactly that data—reducing your response payload by 98%.

Advantages for influencer platforms: - Single request to retrieve data from multiple objects (creator + campaign + performance metrics) - Precise control over response format - Reduces bandwidth costs dramatically - Better for real-time dashboards

Current adoption (2026): Facebook/Instagram has invested heavily in GraphQL, and TikTok's newer API features use GraphQL for creator data. However, some platforms like LinkedIn still primarily use REST.

Learning curve: GraphQL requires understanding query syntax and has a steeper initial learning curve than REST. However, once learned, it's significantly more efficient.

Webhooks: Event-Driven Integration

Webhooks are the opposite of polling. Instead of your system constantly asking "Do you have updates?", the platform notifies you instantly when something changes.

Real-world example: A payment processing webhook fires when an influencer's invoice is paid. This triggers automatic email notifications, updates your accounting system, and marks the campaign as completed—all without your system having to ask.

Advantages: - Truly real-time updates - Reduced API calls and bandwidth consumption - Perfect for notifications and event-driven workflows - Scales efficiently for high-volume events

Disadvantages: - Requires a publicly accessible listener endpoint - More complex to implement and test - Security overhead (signature verification, replay attacks) - Platform must support webhooks (not all do)

Best use case for 2026: Combining webhooks with REST/GraphQL. Use webhooks for critical notifications (new campaign submissions, payment confirmations) and REST/GraphQL for bulk data queries.

Authentication and Security: Protecting Your Influencer Data

OAuth 2.0: The Modern Standard

Most influencer platforms use OAuth 2.0 for authentication. This protocol ensures creators authorize your application to access their data without sharing passwords.

How it works: 1. Creator clicks "Connect [Platform]" in your app 2. Creator is redirected to Instagram/TikTok/YouTube 3. Creator logs in and approves permissions 4. Platform redirects back to your app with an authorization code 5. Your app exchanges the code for an access token 6. Your app uses the token to make API requests

Critical security practices: - Never expose your Client Secret (treat it like a password) - Always use HTTPS for token exchange - Implement token refresh before expiration (tokens typically expire in 60 days) - Rotate credentials quarterly - Use environment variables, not hardcoded values

2025-2026 update: Instagram's OAuth implementation now requires specifying exact permissions upfront. Vague permission requests are rejected. Brands must now be explicit about what data they're accessing.

Data Protection: GDPR and CCPA Compliance

Creator data is personally identifiable information (PII). According to GDPR and CCPA regulations:

• You must delete creator data upon request within 30 days
• You must document how data is stored and who has access
• You must encrypt data in transit and at rest
• You need explicit consent for data processing

Practical implementation: - Use TLS 1.3 for all data transmission (encrypts data in transit) - Encrypt creator data in your database (AES-256 standard) - Implement role-based access control (only authorized team members see creator PII) - Maintain an access log for audit purposes - Establish data retention policies (delete after campaign ends + 30 days)

InfluenceFlow advantage: Our free platform is built with compliance in mind. Creator data is encrypted by default, and brands have one-click data deletion options for GDPR/CCPA compliance.

Rate Limiting and DDoS Protection

Every influencer platform has rate limits to prevent abuse. In 2025-2026:

• Instagram: 200 calls per user per hour for most endpoints
• TikTok: 600 requests per 5 minutes (highly variable based on endpoint)
• YouTube: 10,000 quota units per day (varies by operation type)

What happens when you exceed limits: Your API requests fail with a 429 error, your credentials get temporarily blocked, or (in severe cases) your API access is revoked permanently.

Rate limit strategy for multi-platform integration: - Implement exponential backoff: If request fails, wait 2 seconds, then 4, then 8, then 16 - Batch requests: Group 50 queries into one bulk request instead of 50 separate requests - Stagger requests across time: Pull influencer data at 2am instead of all at 3pm - Monitor usage: Set alerts at 80% of rate limit threshold - Request quota increases: Most platforms will increase limits for legitimate enterprise users

Example: A brand manages campaigns across 200 influencers. At 1 request per influencer per day = 200 requests. Instagram allows 200/hour, so this fits easily. But if you add daily performance tracking (5 requests per influencer), plus weekly audience analysis (2 requests per influencer), that's 8 requests per influencer daily = 1,600 requests. You'd hit Instagram's limit by 8am.

Solution: Implement intelligent caching. Cache creator profile data for 24 hours. Cache performance metrics for 6 hours. Prioritize API calls: Get critical data first (performance metrics for active campaigns), less critical data second (audience demographics).

Real-World Cost Analysis: Hidden Expenses in API Integration

Building API integrations isn't free. Beyond the obvious development costs, hidden expenses add up quickly.

Platform Costs

Instagram: Free for most use cases, but approved business partners pay based on data volume. Historical data access can cost $1,000-10,000 annually depending on archive size.

TikTok: Free API access, but qualifying for API access requires demonstrating business legitimacy. Some third-party services (TikTok Ads API integrations) charge $500-2,000 monthly.

YouTube: Free (Data API v3 includes 10,000 quota units daily). Exceeding quotas requires paid YouTube Premium for Creators program (~$13.99/month).

LinkedIn: Free for LinkedIn creators, but some advanced data requires LinkedIn Sales Navigator ($99-165/month per user).

Total platform costs for comprehensive 2026 integration: $1,200-24,000 annually depending on scale.

Infrastructure Costs

Hosting your API integration requires: - Server/containers: $200-1,000/month (depending on traffic) - Database storage: $100-500/month - CDN for caching: $50-300/month - Monitoring and logging tools: $100-300/month

Total infrastructure: $450-2,100/month ($5,400-25,200/year)

Development and Maintenance

• Initial development: 200-400 hours for a comprehensive multi-platform integration = $15,000-50,000 (at $75-125/hour developer rates)
• Maintenance and updates (handling API deprecations, platform changes): 10-20 hours/month = $1,000-2,500/month
• On-call support for API failures: $300-500/month

Year 1 total development cost: $27,000-60,000+

Real Cost Comparison (2026 Scenarios)

Scenario A: In-House Development - Development: $50,000 - Year 1 infrastructure: $12,000 - Year 1 maintenance: $18,000 - Year 1 total: $80,000 - Year 2-3 annual: $30,000

Scenario B: Third-Party Platform (InfluenceFlow) - Monthly cost: $0 (completely free) - Year 1 total: $0 - Year 2-3 annual: $0

For a small brand managing 50-100 influencers, InfluenceFlow's free platform eliminates $80,000+ in Year 1 costs while providing campaign management, contract templates, rate cards, and payment processing—all without requiring a developer.

Implementation Best Practices for 2026

Platform-Specific Implementation: Instagram Graph API

Current status (2026): Instagram Graph API is the standard for accessing creator and business account data. The API includes reels engagement metrics (added 2024), audience demographics, and performance insights.

Getting started: 1. Create a Meta App (formerly Facebook) 2. Add Instagram Graph API product 3. Request approval with business justification 4. Wait 1-2 weeks for approval (Meta's review process has tightened significantly) 5. Implement OAuth flow for creator authentication

Common approval rejection reasons: - Vague use case description ("I want analytics") - Privacy policy that doesn't clearly explain data usage - Terms of service that contradict platform policies - Requesting historical data without clear business need

Code example (getting follower count):

GET /ig_user?fields=biography,followers_count,follows_count,ig_id,ig_username,name,profile_picture_url,website&access_token=YOUR_ACCESS_TOKEN

Important caveat: Instagram limits follower counts to Instagram Business Accounts and Creator Accounts only. Personal accounts don't expose this data via API.

TikTok Creator Marketplace Integration

2025-2026 changes: TikTok's API access is now invitation-only for the marketplace API. Getting approved requires demonstrating: - Legitimate business with registered company - Privacy policy addressing data handling - Use case that benefits creators (not just brands)

What you can access: - Creator profiles (limited fields) - Engagement rates and audience insights - Collaboration history - Campaign performance (if you're managing on behalf of creators)

Cannot access via API (as of 2026): - TikTok video content directly - Real-time follower count changes - Private message history - Deleted video analytics

Recommendation: For TikTok data, use the platform's native reporting tools or integrate through a third-party aggregator that already has TikTok approval.

Multi-Platform Integration Strategy

Managing data from Instagram, TikTok, YouTube, and LinkedIn simultaneously requires a unified approach.

Create a data normalization layer: Since each platform names metrics differently (Instagram says "engagement_rate", TikTok says "video_play_rate"), standardize them.

Platform Normalization Example:
- Instagram "engagement_rate" = (likes + comments + shares) / followers
- TikTok "video_play_rate" = video_views / followers
- YouTube "engagement_rate" = (likes + comments + shares) / subscribers

Normalized output:
{
  "creator_id": "12345",
  "platform": "instagram",
  "normalized_engagement_rate": 0.087,
  "platform_engagement_rate": "8.7%",
  "last_updated": "2026-01-15T14:32:00Z"
}

Synchronization timing: Don't pull all platform data simultaneously (you'll hit rate limits instantly). Stagger pulls: - Instagram: Every 2 hours - TikTok: Every 4 hours - YouTube: Every 6 hours - LinkedIn: Every 8 hours

This distribution prevents rate limit collisions and spreads infrastructure load.

Common Integration Mistakes and How to Avoid Them

Mistake #1: Ignoring Rate Limits Until Production Crashes

What happens: Your integration works perfectly in testing (where you query 10 creators), then launches to production (1,000 creators). Within 2 hours, you've exceeded API quotas and your requests fail.

Solution: Load test with realistic data volumes. If managing 1,000 creators, test with 1,000 during development. Implement monitoring that alerts at 70% of rate limit consumption.

Mistake #2: Hard-Coding API Credentials

What happens: Your developer hardcodes the API key in source code. Code gets pushed to GitHub. Attackers find it within hours and use your API quota to extract creator data.

Solution: Use environment variables or a secrets management tool (AWS Secrets Manager, HashiCorp Vault). Never commit credentials to version control.

Mistake #3: Not Handling API Deprecations

What happens: In January 2026, Instagram deprecates an endpoint your integration relies on. You don't notice until March when requests start failing in production.

Solution: Subscribe to platform API changelogs and set calendar reminders for quarterly review. Implement feature flags so you can switch between API versions without code deployment.

Mistake #4: Over-Fetching Data Unnecessarily

What happens: Your dashboard only needs creator name and follower count, but your API integration fetches 20 fields including audience demographics, content categories, and engagement history. Each request returns 5MB of unnecessary data.

Solution: Use GraphQL or explicitly specify field parameters in REST endpoints. Most platforms support field filtering: ?fields=username,followers_count

Mistake #5: Poor Error Handling

What happens: API returns a 429 error (rate limit exceeded). Your code crashes instead of gracefully handling it.

Solution: Implement try-catch blocks for every API request. Handle specific errors: - 401 Unauthorized: Refresh token and retry - 429 Too Many Requests: Implement exponential backoff - 500 Server Error: Retry after 30 seconds - 403 Forbidden: Log and alert (likely a permissions issue requiring manual intervention)

Seasonal and Event-Based Integration Patterns

Handling Holiday Campaign Peaks

Holiday season (October-December) causes API traffic surges. Black Friday alone sees 3-5x normal API traffic as brands launch last-minute campaigns.

Preparation strategies: - Pre-load creator data: Pull all creator profiles into your database before peak season. Don't rely on real-time API calls during the rush. - Implement caching aggressively: Cache engagement metrics for 24 hours instead of real-time during peak periods. - Auto-scaling infrastructure: Configure cloud infrastructure to automatically add servers when traffic spikes. - Queue non-critical requests: Performance analytics are interesting but not essential. Queue these for off-peak hours.

Example: A brand runs Black Friday campaign involving 500 creators. Instead of querying creator data during campaign launch (when everyone is simultaneously asking for it), pre-query and cache all data 24 hours before. During launch, serving data from cache instead of hitting APIs means 1000x faster response times and zero rate limit risk.

Managing Algorithm Change Impacts

When platforms change algorithms (like Instagram's February 2025 reels focus shift), historical metrics become misleading. Your integration needs to account for this.

Solution: Flag historical data with a "change event" marker. When Instagram changed the algorithm, mark all metrics before 2/1/2025 with algorithm_change_date. When analyzing year-over-year performance, analysts know to use pre/post comparisons separately rather than blending them.

How InfluenceFlow Simplifies API Integration

Creating a robust API integration from scratch requires expertise, time, and money. This is where InfluenceFlow changes the game for brands that want API-powered capabilities without the developer complexity.

Unified Creator Discovery Without API Coding

Instead of building your own creator discovery algorithm and connecting to Instagram, TikTok, and YouTube APIs individually, InfluenceFlow's search tool aggregates and normalizes creator data across platforms. Search for creators by niche, audience demographics, and engagement rate—all synchronized automatically.

Result: You get API-level insights without managing a single API integration.

Campaign Management with Integrated Workflows

influencer campaign management tools streamline the entire creator collaboration workflow. From initial outreach to contract signing to payment processing, everything connects automatically. No manual data transfer between tools needed.

Rate Card and Contract Template Automation

Creating influencer rate cards manually for each creator is tedious. InfluenceFlow generates professional rate cards automatically based on audience size and engagement metrics. Similarly, influencer contract templates are pre-built and customizable, eliminating legal review delays.

Payment Processing Integration

Payments flow automatically from brand to creator without leaving InfluenceFlow. No manual invoice tracking, no payment reminders, no late payment issues. The integration handles all the behind-the-scenes reconciliation.

Media Kit Generation for Creators

Creators use media kit creator tools to build professional media kits in minutes. These auto-sync across InfluenceFlow, making your creator discovery more efficient. Creators have incentive to keep profiles updated because their media kits are more discoverable.

Zero Development Required

All of this functionality is built-in, maintained by InfluenceFlow's team, and updated automatically when platforms change their APIs. You get enterprise-grade API integration without the enterprise cost.

Cost comparison (2026): - Building in-house: $80,000+ Year 1 - InfluenceFlow: $0 (completely free)

Get started with InfluenceFlow today—no credit card required, no commitment, instant access to all features.

Frequently Asked Questions

What's the difference between REST and GraphQL APIs?

REST returns fixed data structures—you get all available fields whether you need them or not. GraphQL lets you request exactly what you need. For influencer data, GraphQL typically reduces data transfer by 85-95%, saving bandwidth and reducing latency. However, REST is more widely supported across platforms (2026). The best approach often combines both: REST for simple queries, GraphQL for complex multi-platform requests.

How do I avoid hitting API rate limits?

Rate limits exist to prevent abuse. Avoid them by: (1) caching data aggressively—cache creator profiles for 24 hours instead of querying real-time, (2) batching requests—group 50 queries into one bulk request, (3) implementing exponential backoff—if a request fails, wait 2-4-8-16 seconds before retrying, (4) staggering requests—pull different platforms at different times of day. Monitor your usage constantly and request increased quotas from platforms if you're approaching limits legitimately.

Is API integration secure?

APIs are secure when implemented properly. Use OAuth 2.0 for authentication (never passwords), encrypt all data in transit with HTTPS/TLS 1.3, store credentials in environment variables (never hardcode them), verify webhook signatures, and implement role-based access control. The security risk isn't the API itself—it's poor implementation. Follow best practices and APIs are as secure as any enterprise software.

Do I need a developer to implement API integration?

Not always. Low-code and no-code platforms like Zapier, Make, and InfluenceFlow handle API integration without coding. However, custom integrations and advanced use cases require development expertise. For basic influencer marketing workflows—discovery, campaign management, payment processing—platforms like InfluenceFlow eliminate the need for custom development entirely.

Which platforms have the best APIs for influencer data?

Instagram Graph API (Meta) is the most mature and feature-rich for Instagram/Facebook influencer data. TikTok's API is newer but increasingly powerful for creator data. YouTube Data API is excellent for video performance metrics. LinkedIn has limited creator APIs but strong B2B influencer data. The best choice depends on where your creators are active. Most brands integrate 2-3 platforms simultaneously using InfluenceFlow's unified interface.

How often should I sync data from influencer platforms?

Sync frequency depends on your use case. For real-time campaign dashboards, sync every 5-15 minutes. For daily performance tracking, daily syncs are sufficient. For historical analysis, weekly syncs work. More frequent syncing increases infrastructure costs and API usage. InfluenceFlow handles this automatically, syncing at optimal intervals based on your needs.

What happens if an API shuts down or changes?

Most platforms provide 6-12 months notice before deprecating APIs (Instagram's 2024 deprecations gave 12 months notice). During deprecation windows, migrate to new endpoints. APIs rarely shut down completely—they usually evolve. Monitor platform changelogs and plan migrations quarterly. This is another advantage of using InfluenceFlow: we handle API migrations for you.

Can I integrate multiple influencer platforms simultaneously?

Yes, and you should for comprehensive influencer marketing. The key is normalizing data from different platforms into a common format. What Instagram calls "engagement_rate," TikTok calls "video_play_rate." InfluenceFlow normalizes this automatically, letting you search and filter across Instagram, TikTok, YouTube, and LinkedIn with unified metrics.

How much does API integration cost in 2026?

Platform costs: $1,200-24,000/year. Infrastructure: $5,400-25,200/year. Development: $15,000-50,000 for initial build, plus $12,000-30,000 annually for maintenance. Total in-house cost: $33,600-105,200 annually. Using InfluenceFlow: $0. This is why most brands under $5M revenue choose platforms like InfluenceFlow rather than building custom integrations.

What's the ROI of API integration?

ROI comes from reduced manual work (18 hours/week per person saved), faster decision-making (real-time data vs. 48-hour reporting delays), and improved campaign performance (better influencer matching through data-driven discovery). Conservative estimate: 2-3 person-months of work eliminated annually = $30,000-50,000 saved. Compare this to $35,000-60,000 in-house development cost, and ROI breaks even in Year 1 while you also gain strategic advantages. Using InfluenceFlow accelerates ROI to immediate (no development cost).

How do I ensure GDPR/CCPA compliance with API integrations?

Document what data you're collecting and why. Encrypt creator data both in transit (HTTPS) and at rest (AES-256). Implement consent management—only collect data creators explicitly authorize. Delete data upon request within 30 days. Maintain access logs for audits. Use platform Privacy Policies that explain your practices. InfluenceFlow has built-in GDPR/CCPA compliance including data deletion workflows and encryption by default.

What's the difference between webhooks and polling?

Polling means your system constantly asks "Do you have updates?" (inefficient, creates unnecessary API calls). Webhooks mean the platform notifies you when something changes (efficient, true real-time). For campaign notifications, use webhooks. For bulk historical data, use polling. Combining both approaches gives you real-time critical updates plus efficient bulk syncing.

How do I choose between building custom integration vs. using a platform?

Build custom if: you have unique requirements other platforms don't support, you manage 1,000+ creators and need complete control, you have in-house developers. Use a platform (like InfluenceFlow) if: you're small-to-medium size, you want faster time-to-value, you want to avoid ongoing maintenance, you want compliance built-in. Most brands benefit from platforms initially, then build custom integrations as they scale.

Conclusion

API integration is no longer a luxury for enterprise influencer marketing—it's a fundamental requirement for competitive operations in 2026. Whether you choose REST, GraphQL, webhooks, or a combination depends on your specific needs, but the principle remains: automated, real-time data synchronization beats manual spreadsheets every single time.

Key takeaways:

✓ Choose your integration approach strategically. REST for broad compatibility, GraphQL for efficiency, webhooks for real-time events.

✓ Prioritize security and compliance. OAuth 2.0, data encryption, and role-based access control aren't optional—they're essential.

✓ Plan for costs thoroughly. Hidden infrastructure, maintenance, and platform costs add up. In-house development can exceed $100,000 annually.

✓ Avoid common mistakes. Don't ignore rate limits, hard-code credentials, or neglect error handling. These mistakes cost brands thousands in downtime and security incidents.

✓ Consider platform-first approach for 2026. Tools like InfluenceFlow eliminate API complexity while providing unified creator discovery, campaign management, contracts, and payments—all completely free.

Ready to streamline your influencer marketing workflows? Get started with InfluenceFlow today—no credit card required, no setup complexity, instant access to the tools your campaigns need. Whether you're managing 5 creators or 500, InfluenceFlow handles the API integration so you can focus on strategy.

Start with InfluenceFlow Free