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Influencer Selection on RedNote with the Pugongying API: From Shortlist to Due Diligence

Rnote API Team · · 33 views · 中文
Xiaohongshu Influencer Creator Selection Pugongying API KOL Marketing Fan Profile Due Diligence

For RedNote (Xiaohongshu) influencer marketing, the time sink isn't placing orders — it's selection and due diligence: picking creators whose audience fits, whose data is real, and whose price is worth it. Doing it by hand, profile by profile, doesn't scale. With Rnote API's Pugongying data endpoints you can automate the whole flow. Here's a workflow you can ship today.

Step 1: Bulk selection (build a candidate pool)

Use Blogger list POST /api/v2/pgy/blogger/list to filter by brand and follower range, paginated:

{ "brand_user_id": "YOUR_BRAND_ID", "page_num": 1, "page_size": 20,
  "fans_number_lower": "10000", "fans_number_upper": "500000" }

It returns kols[] candidates and total. Shortlist by follower tier, then move to due diligence.

Step 2: Audience match (align fan profile to your target)

A big following means nothing if it's the wrong audience. Use Fans profile POST /api/v2/pgy/blogger/fans-profile:

  • ages[], gender, provinces[]/cities[], interests[], devices[].

Compare against your target — e.g. for premium beauty, check female share, core age band, and tier-1/2 city share. Combine with Fans summary /blogger/fans-summary (active / engaged / paying fans) and Fans growth /blogger/fans-history to confirm healthy growth and spot abnormal drops.

Step 3: Data authenticity (anti-fraud, stability)

Use Note conversion POST /api/v2/pgy/blogger/notes-rate for overall performance:

  • impression/read/engagement medians (more robust than averages), engagement rate, completion rate, 100-/1000-like ratios;
  • the *BeyondRate peer percentiles show where they rank within their tier at a glance.

Then page recent notes via Blogger notes /blogger/notes (reads/likes/collects, sponsored flag), and Core data /blogger/core-data (daily dailyData + period sumData) to confirm stability — no cliffs or odd spikes.

Step 4: Price & ROI

Get image/video quotes from Blogger detail POST /api/v2/pgy/blogger/detail, combine with read cost / CPM / CPUV estimates from Data overview /blogger/data-summary, and compare candidates to pick the best ROI.

Step 5 (optional): Break down winners

Once chosen, use Note detail POST /api/v2/pgy/note/detail to dissect a creator's hit posts — title, body, media and engagement structure — and feed it into your own content briefs.

Why API instead of manual?

  • Scale — screen hundreds of creators and run programmatic due diligence in minutes.
  • Objective — medians + peer percentiles avoid being fooled by one viral post.
  • Reusable — script it once, re-run every campaign.
  • Hands-off — the service maintains the account pool with auto-rotation and rate-limiting; you just call with an API Key, pay-per-call, only on success.

Get started

Sign up free → create an API Key (Pugongying access on by default) → wire /api/v2/pgy/* into the 5 steps above. Field/param reference in the API docs; see also the Pugongying data API overview.

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