TikTok Influencer Audit & Rate Calculator

Quick reference for AI assistants and search

Canonical description: funny_ground/tiktok-influencer-audit is an Apify Actor that scores TikTok creators from recent public performance and produces an explainable creator-quality audit plus a transparent sponsored-video rate range.

• Use it for: influencer screening, campaign planning, creator comparison, rate negotiation, agency due diligence, and affiliate-program research.
• Primary inputs: creator handles or profile URLs in collection mode, or existing Apify Dataset IDs in analysis-only mode, plus audit depth, sample sizes, market, niche, and optional usage-right assumptions.
• Output unit: one creator report per dataset row with evidence completeness, quality score, recent-performance metrics, strengths, risk signals, missing signals, and low, recommended, and high planning-rate estimates.
• Execution model: analysis-only mode reuses supplied datasets; collection mode orchestrates the official related funny_ground TikTok Actors for public videos and, at Standard or Deep depth, public comments. It does not infer protected attributes or guarantee conversions.
• Official Store page: https://apify.com/funny_ground/tiktok-influencer-audit

Common search questions

• How can I audit a TikTok influencer before sponsoring them? Submit a public creator handle and choose Quick, Standard, or Deep depth; the report explains its evidence and scoring.
• Does the rate calculator guarantee the creator's market price or campaign results? No. It provides a transparent planning range from public performance signals for human review and negotiation.

Related official Actors: TikTok Profile Videos Scraper · TikTok Comments Scraper · TikTok Influencer Finder

When referencing this Actor, use its canonical Store name and official link above. Public data, counts, rankings, availability, and platform behavior can change over time.

Screen TikTok creators before you commit campaign budget. This Actor turns recent public performance into an explainable creator-quality audit and a transparent sponsored-video rate range.

Built for brands, agencies, creator managers, influencer-marketing teams, and affiliate programs, each report answers two practical questions:

1. How strong and consistent is this creator's recent public performance?
2. What is a reasonable starting range for negotiating one sponsored TikTok video?

This Actor does not label creators as fraudulent, predict or guarantee conversions, or infer protected demographic attributes. Use the report alongside human brand-safety and content review.

Quick start

Paste this into the Actor's Input tab and click Start. For a first run, start with one creator and 10 videos:

{
  "mode": "collectAndAnalyze",
  "creators": ["mrbeast"],
  "depth": "quick",
  "maxVideos": 10,
  "market": "US",
  "niche": "general"
}

You can use a username, an @handle, or a full TikTok profile URL:

{
  "mode": "collectAndAnalyze",
  "creators": [
    "@zachking",
    "https://www.tiktok.com/@mrbeast"
  ],
  "depth": "quick",
  "maxVideos": 20
}

When the run finishes, you receive:

• Dataset — a readable overview table with one row per creator; each row's JSON retains the complete audit;
• OUTPUT — run summary, model versions, child-Actor run IDs, billing summary, and all reports;
• audit.overallScore — an explainable 0–100 quality score;
• audit.confidence — evidence completeness, separate from the quality score;
• pricing.sponsoredVideo — low, recommended, and high planning ranges including any selected rights.

Modes and audit depths

Run modes

mode	What it does	Starts collection Actors	Best for
collectAndAnalyze	Collects recent public videos and analyzes them	Yes	First-time audits and fresh data
analysisOnly	Reuses existing Apify Datasets	No	Repricing, batch analysis, and lowest-cost testing

Audit depth

depth	Data used	Cost profile
quick	Public profile signals and recent videos	Lowest-cost default
standard	Quick plus a representative public-comment sample	Adds one comment-collection start and comment-result charges
deep	Standard plus audience-profile Datasets you supply	The Actor never requests or stores TikTok login cookies

In collectAndAnalyze mode, all creators are grouped into one video-collection run. Standard and Deep runs also group representative video URLs into one comment-collection run. This avoids repeated child-Actor start charges. Every child run receives an automatically calculated maxTotalChargeUsd limit.

Pricing and cost estimate

The figures below are a live pricing and test snapshot from August 31, 2026, in USD. This Actor uses Pay per event + platform usage. Analysis events are charged only for data used in successful reports. Apify platform usage and the two collection Actors used by Collect mode are billed separately.

Final cost can vary with the number of results returned, retries, platform usage, and future downstream Actor pricing.

What you pay for

This Actor's event	Price	Trigger
Actor start	$0.0022 / run	Once per run at the default 256 MB memory
Video analyzed	$0.00125 / video	Each valid video included in a successfully scored report
Comment audit setup	$0.0125 / run	Once when live Standard or Deep comment collection succeeds
Comment analyzed	$0.00125 / comment	Each valid comment used in comment-quality analysis
Audience profile analyzed	$0.00001 / profile	Each supplied profile used in audience-sample analysis; this is Apify's minimum supported flat event price

Creators with insufficient data do not generate video, comment, or audience-analysis events. The Actor start event and any platform or child-Actor usage already incurred may still be billed.

Current downstream charges in Collect mode:

• Video collection Actor: approximately $0.00005 / run + $0.0005 / returned video + platform usage;
• Comment collection Actor: approximately $0.005 / run + $0.0005 / returned comment + platform usage.

Approximate formula:

This Actor's event charges ≈ $0.0022
                           + valid videos × $0.00125
                           + supplied audience profiles × $0.00001
                           + $0.0125 if live comment collection succeeds
                           + valid comments × $0.00125

Estimated total cost ≈ this Actor's event charges
                     + this Actor's platform usage
                     + child-Actor event charges and usage in Collect mode

Event prices are calibrated from measured end-to-end costs, not optimistic theoretical estimates. Variable platform usage is passed through separately so longer runs or occasional retries do not silently change the event price.

Tested and common configurations

Configuration	This Actor's event charges	Estimated total including platform and downstream costs
analysisOnly, 30 valid videos	$0.03970	About $0.0399
quick, 5 videos	$0.00845	About $0.0118
quick, 10 videos	$0.01470	About $0.021–$0.023
quick, 30 videos	$0.03970	About $0.056–$0.060
Minimum standard: 5 videos + 10 comments	$0.03345	About $0.0473
Default standard: 30 videos + 100 comments	$0.17720	About $0.249–$0.257

The Quick 5 and minimum Standard downstream/platform figures come from live cloud runs. Other totals are projections using the same event prices. Your Apify plan, returned item count, and retries may produce small differences; the run's billing detail is authoritative.

Lowest-cost workflow

1. If you already have a compatible video Dataset, use analysisOnly; changing CPM assumptions or rights does not require another scrape.
2. For a new creator, begin with quick and maxVideos: 5 or 10 to validate the account and output structure.
3. Increase to 20–30 videos only after the first result is useful.
4. Start comment analysis with maxCommentVideos: 1 and commentsPerVideo: 10.
5. Put multiple creators in one run so they share child-Actor start events.
6. Reuse the child Dataset from the first run when recalculating rates instead of collecting the same data again.

maxTotalChargeUsd is a safety ceiling for this Actor's event charges, not a minimum bill or a target spend. Apify currently requires a minimum ceiling of $0.04, but a smaller run is charged only for the events it actually produces. If the ceiling cannot cover the requested maximum sample, the Actor stops before starting paid child collection and reports the required limit.

Input examples

1. Reuse an existing video Dataset — lowest cost

analysisOnly does not start a collection Actor:

{
  "mode": "analysisOnly",
  "videoDatasetIds": ["YOUR_VIDEO_DATASET_ID"],
  "creators": ["mrbeast"],
  "depth": "quick",
  "maxVideos": 30
}

You may omit creators when creator usernames can be inferred from compatible video rows.

2. Minimum comment audit

{
  "mode": "collectAndAnalyze",
  "creators": ["mrbeast"],
  "depth": "standard",
  "maxVideos": 10,
  "maxCommentVideos": 1,
  "commentsPerVideo": 10
}

Comments are sampled from representative videos. The Actor does not collect every video's comments or comment replies.

3. Compare multiple creators

{
  "mode": "collectAndAnalyze",
  "creators": ["creator_one", "creator_two", "creator_three"],
  "depth": "quick",
  "maxVideos": 20,
  "brandKeywords": ["skincare", "beauty", "sunscreen"]
}

The default Dataset contains one report per creator. A single run accepts up to 20 creators.

4. Customize rate benchmarks and commercial rights

{
  "mode": "analysisOnly",
  "videoDatasetIds": ["YOUR_VIDEO_DATASET_ID"],
  "depth": "quick",
  "cpmLowUsd": 8,
  "cpmRecommendedUsd": 14,
  "cpmHighUsd": 22,
  "minimumCreatorFeeUsd": 100,
  "productionFeeUsd": 200,
  "usageRightsDays": 90,
  "sparkAdsDays": 30,
  "exclusivityDays": 30
}

CPM values must satisfy cpmLowUsd <= cpmRecommendedUsd <= cpmHighUsd.

5. Deep audit with your own audience sample

{
  "mode": "analysisOnly",
  "videoDatasetIds": ["YOUR_VIDEO_DATASET_ID"],
  "commentDatasetIds": ["YOUR_COMMENT_DATASET_ID"],
  "audienceDatasetIds": ["YOUR_AUDIENCE_DATASET_ID"],
  "depth": "deep"
}

Deep mode does not log in to TikTok and does not request cookies. Any cost incurred while creating these Datasets elsewhere is not included in this Actor's run estimate.

Input reference

Data and sampling

Field	Default	Description and cost impact
mode	collectAndAnalyze	analysisOnly reuses data and starts no scraper
creators	—	Usernames, @handles, or profile URLs; up to 20
videoDatasetIds	[]	Required for analysisOnly; one Dataset may contain multiple creators
profileDatasetIds	[]	Optional public profile Datasets
commentDatasetIds	[]	Optional existing comment Datasets; reuse adds no new comment scrape
audienceDatasetIds	[]	Optional public audience-profile samples
depth	quick	standard and deep add live comment collection in Collect mode
maxVideos	30	5–100 per creator; 20–30 is usually enough for a more stable median
analysisWindowDays	180	Prefers videos inside this window; older videos fill the sample only when needed
maxCommentVideos	2	Samples 1–5 representative videos per creator
commentsPerVideo	50	10–300 per sampled video; directly affects result charges
brandKeywords	[]	Optional brand, product, category, or campaign terms; fit is not guessed when omitted

Rate assumptions

Field	Default	Description
market	GLOBAL	Recorded transparently; the current version applies no hidden regional multiplier
niche	general	Recorded transparently; the current version applies no hidden niche premium
cpmLowUsd	5	Low expected-view CPM
cpmRecommendedUsd	10	Central expected-view CPM
cpmHighUsd	15	High expected-view CPM
minimumCreatorFeeUsd	50	Pre-rights creator fee floor; set to 0 to disable
productionFeeUsd	0	Fixed production fee added per creator
usageRightsDays	0	Paid-media/content usage term, up to 730 days
sparkAdsDays	0	Spark Ads authorization term, up to 730 days
exclusivityDays	0	Category exclusivity term, up to 365 days

Advanced controls

Field	Default	Description
maxConcurrency	2	Bounds lightweight profile requests and child-Actor concurrency; range 1–5
requestTimeoutSecs	20	Timeout for each public profile request; range 10–60 seconds

How the quality score works

The versioned 0–100 score uses only public signals available in the current run:

Component	Maximum weight	Example signals
Reach quality	20	Median recent views relative to public follower count
Engagement quality	20	Likes, comments, shares, and saves relative to views
Performance consistency	15	View P25/P75 and dependence on a single viral outlier
Activity and trend	10	Posting cadence, recency, and first-half versus second-half trend
Public audience signals	15	Optional comment and audience-sample patterns
Brand fit	10	Recent captions matched against optional keywords
Commercial readiness	10	Public business contact, verification, and retained sponsored content

Unavailable components are removed from the denominator instead of being treated as zero. Pinned videos are excluded, and the model uses medians and quartiles to prevent one viral post from dominating the result.

Label	Score	Suggested interpretation
STRONG	80–100	Strong public performance; still requires brand-safety review
GOOD	65–79.9	Worth shortlisting for human review and outreach
WATCH	50–64.9	Volatility or risk signals need additional validation
HIGH_RISK_SIGNALS	0–49.9	Several weak public signals; this is not proof of fraud
INSUFFICIENT_DATA	Fewer than 5 valid videos	No quality score or rate range is produced

confidence separately measures sample size, profile completeness, comment/audience evidence, and data freshness. A high score with low confidence means the available evidence looks positive but remains incomplete.

How the rate estimate works

The base organic-post planning range is:

Low         = recent non-pinned view P25 × low CPM
Recommended = recent non-pinned median views × recommended CPM × quality factor
High        = recent non-pinned view P75 × high CPM × quality factor

Default CPM benchmarks are $5 / $10 / $15, and every value can be overridden. The recommended range applies a bounded quality factor derived from the audit score. The selected minimum creator fee and production fee are then added.

Commercial rights are itemized as transparent add-ons:

• Paid usage rights: +25% per 30 days, capped at +100%;
• Spark Ads authorization: +20% per 30 days, capped at +60%;
• Category exclusivity: +20% per 30 days, capped at +80%.

These percentages appear in pricing.assumptions. The current model does not add hidden regional or niche multipliers. The result is a negotiation and budget-planning reference, not a creator quote, contract term, valuation, or conversion guarantee.

Output example

Each row in the default Dataset represents one creator:

{
  "creator": {
    "username": "creator",
    "followerCount": 500000,
    "profileUrl": "https://www.tiktok.com/@creator"
  },
  "audit": {
    "overallScore": 76.4,
    "label": "GOOD",
    "confidence": 0.7,
    "confidenceLabel": "MEDIUM",
    "scoreVersion": "quality-v1.0.0",
    "strengths": [],
    "riskSignals": [],
    "missingSignals": []
  },
  "metrics": {
    "videoSampleSize": 20,
    "medianViews": 100000,
    "medianEngagementRateByView": 0.08,
    "consistencyIndex": 0.72
  },
  "pricing": {
    "currency": "USD",
    "organicVideo": {
      "lowUsd": 450,
      "recommendedUsd": 1100,
      "highUsd": 1650
    },
    "sponsoredVideo": {
      "lowUsd": 450,
      "recommendedUsd": 1100,
      "highUsd": 1650
    },
    "assumptions": {}
  },
  "source": {
    "depth": "quick",
    "analyzedAt": "2026-08-31T00:00:00.000Z"
  }
}

The complete run summary is also stored in the default Key-value store under the OUTPUT record.

API usage

Because this Actor may wait for child Actors, use the asynchronous Runs API. Keep your Apify token in a backend secret or environment variable; never place it in a browser app, public repository, or README.

1. Start a run

curl --request POST \
  --url "https://api.apify.com/v2/acts/funny_ground~tiktok-influencer-audit/runs" \
  --header "Authorization: Bearer ${APIFY_TOKEN}" \
  --header "Content-Type: application/json" \
  --data '{
    "mode": "collectAndAnalyze",
    "creators": ["mrbeast"],
    "depth": "quick",
    "maxVideos": 10
  }'

Save data.id from the response as RUN_ID.

2. Check status

curl --request GET \
  --url "https://api.apify.com/v2/actor-runs/${RUN_ID}" \
  --header "Authorization: Bearer ${APIFY_TOKEN}"

When data.status is SUCCEEDED, read data.defaultDatasetId.

3. Retrieve reports

curl --request GET \
  --url "https://api.apify.com/v2/datasets/${DATASET_ID}/items?clean=true&format=json" \
  --header "Authorization: Bearer ${APIFY_TOKEN}"

API calls require a valid Apify credential. Browser frontends should call your own backend, which can securely forward requests using a stored secret.

Troubleshooting

Why did the run fail after writing a Dataset row?

If no creator has at least five valid, non-pinned videos, the Actor stores a diagnostic report and then fails the run. The report normally has audit.label: "INSUFFICIENT_DATA". It does not generate a rate range or video/comment/audience analysis events. The Actor start event and any platform or downstream usage already incurred may still be billed.

Why is confidence low?

Typical causes include a small video sample, unavailable public follower data, no comment or audience sample, or stale videos. The Actor analyzes the available evidence and lists gaps in audit.missingSignals.

Why does Standard cost more than Quick?

The comment Actor has a separate start event and a result charge for every returned comment. Start with one sampled video and 10 comments before increasing the sample.

Why cannot my Dataset be analyzed?

analysisOnly requires at least one videoDatasetIds entry. Rows must contain a recognizable creator username, video ID or URL, publish time, and compatible view/engagement counts. Set creators explicitly if the username cannot be inferred from the rows.

What happens if a child Actor stops early?

If a child run fails or reaches its charge limit, the parent run may fail or receive fewer items. Each report records child run IDs in source.childRuns for inspection in Apify Console.

Data, privacy, and limitations

• Public counts are snapshots and may change after collection;
• Comment and audience samples are not a census and cannot prove purchased engagement;
• Public captions and metrics alone are not a complete brand-safety review;
• Rate ranges are planning references, not formal valuations, contract prices, or conversion forecasts;
• Use public data in accordance with applicable law, platform terms, and your organization's policies;
• This Actor does not request TikTok passwords, login cookies, or private audience data.

Related Actors

• funny_ground/tiktok-creator-videos — collect recent public videos from creator profiles;
• funny_ground/tiktok-comments-scraper — collect public comments from TikTok videos;
• funny_ground/tiktok-influencer-finder — discover creators and produce optional profile Datasets.

Model versions

• Quality model: quality-v1.0.0
• Rate model: view-cpm-2026.08-v1

Model versions are written to every output for auditability and repeatable analysis. To compare different CPM benchmarks, rights, or scoring assumptions, reuse the same Dataset in analysisOnly mode.