yao-doubao-crawler
Use when a user needs repeated Doubao AI-search collection from web or Android Appium into compatible JSON plus Markdown/Excel/HTML GEO reports. Requires keywords/questions and repeat count; target entity/type are required only for target-vs-competitor diagnosis. Not for generic scraping, Doubao API chat, hidden API extraction, SEO writing, high-frequency automation, or one-off answers.
Works with
--- name: yao-doubao-crawler description: Use when a user needs repeated Doubao AI-search collection from web or Android Appium into compatible JSON plus Markdown/Excel/HTML GEO reports. Requires keywords/questions and repeat count; target entity/type are required only for target-vs-competitor diagnosis. Not for generic scraping, Doubao API chat, hidden API extraction, SEO writing, high-frequency automation, or one-off answers. license: MIT --- # Yao Doubao Crawler ## Inputs Collect with keywords/questions, repeat count, backend (`web` or `mobile`), connection fields, and output dir. Add target entity + entity type for standard diagnosis. Without a target, generate exploratory output and label inferred candidates as heuristic. ## Workflow 1. Read `references/user-setup-and-usage.md`, `references/doubao-crawl-workflow.md`, and `references/report-contract.md`. 2. For Android/Appium, also read `references/mobile-appium-workflow.md` and run `python3 scripts/doubao_mobile_crawl.py preflight ...`. 3. Stage 1 web: run `scripts/doubao_batch_crawl.mjs`. 4. Stage 1 mobile: run `scripts/doubao_mobile_crawl.py batch`; use `--fresh-chat --require-fresh-chat` when samples must start in separate Doubao app conversations. 5. Stage 2: run `scripts/analyze_doubao_results.py` on the compatible crawl JSON. 6. Use `evals/` and `templates/` for packaging checks and collection briefs. 7. Return crawl JSON, `summary.json`, structured Markdown/Excel, HTML report, screenshots/XML for mobile, failed logs, and mobile search-material evidence when present. ## Honest Boundaries - Do not bypass login, CAPTCHA, risk controls, hidden APIs, network traffic, or app storage. - Android/Appium is low-frequency visible UI evidence capture. - Probability and competitor metrics are repeated-sample estimates; review aliases before external use. - Preserve raw answers, references, URLs, screenshots/XML, and logs.
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