Influencer Performance Analyzer — Later Alternative

Analyze known Instagram, TikTok, and YouTube creators. Export profile snapshots, recent-content metrics, engagement estimates, sponsorship cues, and source links for creator vetting and performance review. For influencer teams, each dataset result is one known-creator report with a profile snapshot and capped recent-content evidence.

Workflow: put the results to work

Use the creator handles or URLs already on your campaign shortlist. Compare available recent-content metrics with public engagement and sponsorship cues, then inspect the original posts before outreach. This is a known-creator review workflow rather than open-ended influencer discovery.

What you get

Field	Meaning
profileUrl, handle, platform	Public source and normalized creator identity
followerCount, contentCount, verified	Public profile snapshot when the platform exposes it
recentPosts	Capped public post/video previews with their available metrics
averageLikeCount, averageCommentCount, averageViewCount	Means calculated from the returned recent content
estimatedEngagementRate	Visible likes plus comments divided by public followers; a public-content comparison measure for creator review
sponsorSignalPosts	Text disclosure cues such as #ad, “sponsored”, affiliate language, or a discount code; a human-confirmation cue for partnership review
provider, scrapedAt	Collection provenance and time

Input

{
  "creatorTargets": [
    { "platform": "instagram", "handle": "natgeo" },
    { "platform": "tiktok", "handle": "natgeo" },
    { "platform": "youtube", "handle": "NationalGeographic" }
  ],
  "maxRecentPosts": 5,
  "providerOrder": "scrapecreators-first"
}

The Actor accepts up to 25 public profiles per run. Owner-managed ScrapeCreators and SociaVault credentials provide the data access while the user supplies only public handles or profile URLs.

Example output

{
  "recordType": "creator-intelligence-report",
  "platform": "instagram",
  "handle": "natgeo",
  "profileUrl": "https://www.instagram.com/natgeo/",
  "followerCount": 1000000,
  "averageLikeCount": 2400,
  "averageCommentCount": 80,
  "estimatedEngagementRate": 0.25,
  "sponsorSignalCount": 1,
  "sponsorSignalPosts": [
    { "postId": "example", "postUrl": "https://www.instagram.com/p/example/", "signals": ["ad-disclosure"] }
  ],
  "provider": "scrapecreators",
  "scrapedAt": "2026-08-31T12:00:00.000Z"
}

Workflow story: vet a fitness-campaign shortlist

An agency already has 12 public creator handles from referrals and campaign research. It runs this Actor with five recent posts per creator, exports the source-linked reports, ranks accounts against the campaign brief, and sends the selected handles into its approved outreach process. Later scheduled collections produce new public snapshots; conversion, audience-demographic, brand-safety, and partnership decisions remain with the team’s review process.

API and agent use

Run through the Apify API, then retrieve the default dataset and OUTPUT/RUN_SUMMARY records. A suitable agent instruction is:

Analyze these public Instagram, TikTok, and YouTube creator handles. Return the public profile source, visible recent-post metrics, engagement estimate, and disclosure signals. Treat sponsorship signals as cues for human confirmation.

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~influencer-marketing-intelligence-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"creatorTargets":[{"platform":"instagram","handle":"natgeo"}],"maxRecentPosts":5}'

For AI-agent use, retrieve the dataset after completion and inspect OUTPUT.outcome plus each record’s profileUrl, provider, and scrapedAt before making a shortlist decision. This keeps the output, scope, collection time, and per-report cost visible to the reviewer.

How this workflow compares with Later

Decision area	This Actor	Later Influence	Tradeoff
Scope	Scrapes a supplied shortlist of public creator profiles and recent content.	Later Influence combines creator discovery, campaign workflows, tracking, and reporting.	Use this Actor for an on-demand evidence export; use Later for the broader influencer-program suite.
Creator discovery	Requires known public handles or URLs.	Later’s Influencer Index is a global discovery database with search and filters.	Use Later when the starting point is a broad creator search rather than a shortlist.
Output contract	Returns structured JSON/CSV-ready creator reports with source URLs and timestamps.	Later presents creator and campaign information inside its managed platform.	Use the Actor when a pipeline needs a bounded machine-readable snapshot.
Public sponsorship cues	Flags only visible text disclosure cues in returned recent content.	Later may include profile and performance information where available.	Neither public cue is proof of a paid relationship; confirm partnerships with the creator or campaign records.
Billing and cost	Pay per event plus platform usage; see the Pricing tab for current rates.	Later’s plan and enterprise terms vary with the required program.	Compare the same workload, plan, and usable-output calculation before selecting a cost model.
Automation and integrations	API-ready output; scheduled or MCP-client claims remain pending live verification.	Later provides the broader campaign workflow and reporting environment.	Choose based on the required operating model rather than tool labels.

Later documents a broader suite for creator discovery, campaign workflows, tracking, and reporting, including its Influencer Index and available creator-profile insights. This Actor replaces only the bounded public-shortlist intelligence step. Later remains the better fit for campaign management, relationship records, authenticated audience data, paid-media and commerce attribution, team collaboration, or consolidated reporting. Later creator discovery · Later influencer analytics

This independent Actor is not affiliated, associated, or endorsed by Later.

Best results guidance and responsible use

• Use public creator profiles that you are authorized to collect and assess under applicable laws, platform terms, and your organization’s responsible-research policies.
• Use the engagement estimate as a visible-content comparison input alongside creator review, audience fit, and your campaign brief.
• Treat sponsorship cues as a prompt for human confirmation with the creator or campaign owner.
• When a provider returns a partial public feed, use RUN_SUMMARY and the source URL to confirm which evidence was available before advancing the creator.

Builder's note

I designed this Actor around the evidence most useful before outreach: a stable public source, a current collection time, a small reviewable content sample, and explicit uncertainty. The implementation deliberately separates a visible-metric engagement estimate from audience quality, conversion, fraud, and confirmed commercial relationships so a report helps human review instead of pretending to make the partnership decision.

Terminal outcomes

Every run writes both OUTPUT and RUN_SUMMARY.

• COMPLETE: every requested creator produced a validated report.
• PARTIAL: at least one useful report was returned, with a target or recent-content warning.
• VALID_EMPTY: no public result matched a valid request.
• INVALID_INPUT: a target, platform, or run bound was invalid.
• UPSTREAM_FAILED: no useful report could be retrieved from the configured providers.
• CONFIG_ERROR: neither required owner-managed provider key is configured.

Pricing and run costs

This Actor uses Pay per event plus Apify platform usage. The Pricing tab lists the current event rates and billing terms.

Event	Billing unit	When it applies
apify-actor-start	Actor Start	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
creator-intelligence-report	Creator intelligence report	Charged when one validated public creator report is written, including a profile snapshot and available recent-content analysis.

Run cost combines the charged events and Apify platform usage. Review the run charge limit and requested result count before starting.

Connect an AI agent

Use the Apify MCP configurator to choose an available client connection. Inspect this Actor’s current input schema and required credentials before running it.