TikTok DSA Ads Transparency Library Scraper: MCP config, n8n workflow and API

{
  "mode": "library",
  "keyword": "Nike",
  "region": "DE",
  "sortBy": "last_shown_date,desc",
  "adType": "all",
  "adStatus": "active",
  "gender": "all",
  "uniqueReach": "all",
  "exactPhrase": false,
  "includeDetails": false,
  "countOnly": false,
  "maxItems": 3,
  "ccCountry": "US",
  "ccPeriod": "30",
  "ccOrderBy": "for_you",
  "ccObjective": "all",
  "ccIndustry": "all",
  "ccLanguage": "all",
  "ccSweep": false,
  "ccIncludeDetails": false
}

---
name: tiktok-dsa-ads-transparency-library-scraper
description: "One row per TikTok DSA ad or Creative Center top ad, with creatives, advertiser identity, dates, reach, targeting and performance signals. Runs the Apify Actor vexaloom-labs/tiktok-dsa-ads-transparency-library-scraper. Use when the user needs TikTok Ads Library data with fields such as adId, source, advertiserName, adTitle, adType, adImpressions and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "vexaloom-labs/tiktok-dsa-ads-transparency-library-scraper"
  store-url: "https://apify.com/vexaloom-labs/tiktok-dsa-ads-transparency-library-scraper"
---

# TikTok DSA Ads Transparency Library Scraper

Use this skill to fetch TikTok Ads Library data with the Apify Actor `vexaloom-labs/tiktok-dsa-ads-transparency-library-scraper` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `mode` | one of `library`, `creativeCenter`, `both` | `library` = TikTok DSA Commercial Content Library (EU/EEA/UK/CH/TR). `creativeCenter` = global Top Ads inspiration feed. `both` = run both and label every row with `source`. |
| `keyword` | string | Search ads by keyword or advertiser name. Leave empty to browse recent ads in the selected region. (mode=library) |
| `adIds` | array | Direct list of TikTok ad IDs. Skips search and opens each ad's detail page. (mode=library) |
| `startUrls` | array | Paste TikTok library search or ad-detail URLs. Search URLs carry their own region, keyword/advertiser, dates and filters; detail URLs are read as ad IDs. (mode=library) |
| `region` | string | TikTok DSA library covers EU/EEA countries plus the UK, Switzerland and Turkey. `all` searches the union (capped by TikTok), so split regions for deeper runs. (mode=library) |
| `sortBy` | one of `last_shown_date,desc`, `last_shown_date,asc`, `create_time,desc`, `create_time,asc`, `impression,desc`, `impression,asc` | Result order. (mode=library) |
| `adType` | one of `all`, `video`, `image`, `text` | Filter by creative type. (mode=library) |
| `adStatus` | one of `all`, `active`, `inactive` | Active ads are still being shown; inactive ads have stopped. (mode=library) |
| `age` | array | Only ads targeted at any of these age groups: `13-17`, `18-24`, `25-34`, `35-44`, `45-54`, `55+`. Leave empty for all ages. (mode=library) |
| `gender` | one of `all`, `female`, `male` | Only ads targeted at this gender. (mode=library) |
| `uniqueReach` | one of `all`, `under10k`, `10k-100k`, `over100k` | Filter by TikTok's unique-users-seen band. (mode=library) |
| `exactPhrase` | boolean | Treat the keyword as an exact phrase instead of individual words. (mode=library) |
| `includeDetails` | boolean | Open each ad's detail page for caption, CTA, landing page, advertiser identity and age/gender reach breakdown. Slower; recommended for smaller runs. (mode=library) |
| `countOnly` | boolean | Return one summary row with the number of matching ads instead of collecting ads. (mode=library) |

Example `input.json` (the Actor's published prefill):

```json
{
  "mode": "library",
  "keyword": "Nike",
  "region": "DE",
  "sortBy": "last_shown_date,desc",
  "adType": "all",
  "adStatus": "active",
  "gender": "all",
  "uniqueReach": "all",
  "exactPhrase": false,
  "includeDetails": false,
  "countOnly": false,
  "maxItems": 3,
  "ccCountry": "US",
  "ccPeriod": "30",
  "ccOrderBy": "for_you",
  "ccObjective": "all",
  "ccIndustry": "all",
  "ccLanguage": "all",
  "ccSweep": false,
  "ccIncludeDetails": false
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/vexaloom-labs~tiktok-dsa-ads-transparency-library-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/vexaloom-labs~tiktok-dsa-ads-transparency-library-scraper/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `adId`, `source`, `advertiserName`, `adTitle`, `adType`, `adImpressions`, `adStartDate`, `adEndDate`, `ctr`, `likeCount`, `adUrl`, `recordType`, `adFormat`, `daysActive`, `adImpressionsMin`, `adImpressionsMax`, `auditStatusLabel`, `ctaText`, `advertisingObjective`, `landingPageUrl`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.