Zhihu & Douban High-Intent Research

Turn authorized Zhihu and Douban discussions into evidence-linked consumer decision research for health, supplements, education, finance, durable goods, professional services, and other high-consideration categories.

Unofficial tool. This Actor is not affiliated with, sponsored by, or endorsed by Zhihu, Douban, or any source platform.

Why this is different from a scraper

Raw rows do not answer why someone buys, delays, rejects, switches, or searches for an alternative. This Actor maps supplied posts, answers, reviews, threads, comments, and replies into:

• ranked high-intent questions with transparent scores and reasons
• problem recognition, option exploration, comparison and proof, purchase, and post-purchase journey stages
• objections about outcomes, safety, trust, price, effort, and after-sales risk
• proof requirements such as real experience, expert explanation, research, comparison, failure cases, and total cost
• product and non-product alternatives
• evidence-linked brand and competitor associations
• Zhihu versus Douban discussion differences
• ranked content opportunities tied to observed decision gaps
• risky-claim screening for medical, health, finance, employment, and education promises

Private-data-safe input

No Cookie is required or requested. Paste records into uploadedRecords, or provide sourceDatasetIds for private Apify datasets explicitly supplied to the run. The Actor uses Limited permissions and cannot browse unrelated account data.

Modes

• demo: ten-record health-category example across Zhihu and Douban
• intentQuestions: high-intent questions, objections, and proof requirements
• decisionJourney: decision stages and the strongest source evidence
• competitorResearch: competitors, alternatives, associations, and platform differences
• contentOpportunities: ranked decision-stage content opportunities
• fullReport: every module in one report

Example

{
  "mode": "fullReport",
  "topic": "成人正畸",
  "knownEntities": [
    "隐形矫正",
    "金属托槽",
    "公立医院",
    "私立诊所",
    "品牌甲",
    "品牌乙"
  ],
  "competitorNames": ["品牌甲", "品牌乙"],
  "regulatedTopic": true,
  "uploadedRecords": [
    {
      "id": "zh-1",
      "platform": "zhihu",
      "recordType": "post",
      "title": "成人正畸怎么选",
      "text": "更关心医生经验、失败案例、总费用和保持器。",
      "url": "https://example.com/source/1"
    },
    {
      "id": "db-1",
      "platform": "douban",
      "recordType": "comment",
      "text": "做完之后后悔吗？长期复盘和售后怎么样？",
      "url": "https://example.com/source/2"
    }
  ]
}

Pricing

Report	Price
High-intent questions or decision journey	$1.99
Competitor and alternative research	$2.49
Content opportunities	$1.99
Full intent research	$4.99

Platform usage is included in the report price.

Transparent scoring

The high-intent score uses explicit signals: question language, decision stage, objections, proof requirements, alternatives, and whether the record is a comment/reply. The output explains every score. It does not infer private health, income, education, or demographic traits.

Analytical boundaries

• Results describe the supplied sample, not all Zhihu or Douban users.
• Zhihu and Douban counts remain separate; raw engagement is not compared as if the platforms were equivalent.
• Consumer stories are evidence of discussion, not clinical, financial, legal, education, or product-performance proof.
• Regulated-claim screening is a research aid, not compliance approval.

Responsible use

Only process data you are authorized to use. Follow platform terms, privacy, advertising, intellectual-property, and data-protection rules. Do not use the output for harassment, sensitive profiling, diagnosis, or unsupported promises.

Local validation

$python3 -m unittest discover -s tests -v