Quora Search Scraper: Find relevant questions and answers by keyword, then enrich authors with available public profile details, bios, credentials, topics, and profile URLs. Build datasets for audience research, expert discovery, lead generation, content research, and market intelligence.
0.1 — Initial release (Author Lead Enrichment variant)
Superset of the base Quora Search Scraper — every base input, output field and
per-section view preserved and working — plus:
🧲 Author profile enrichment — every distinct answer author surfaced by the
search is opened and emitted as an author_lead row: bio, credentials,
follower/following/answer/question counts, total views and profile image.
🔁 Author dedup + computed lead_score — authors are deduped across all
keywords/URLs; each carries answers_seen_in_run and a log-scaled, capped
lead_score (0–100, derived from follower/view/answer reach — labelled computed).
🔗 Bio-link extraction — external URLs and @handles pulled from the bio
into extracted_links. No email field — Quora public data carries none.
🎯 authorFilter — client-side keep-only by author name / profile slug.
📍 location — biases keyword discovery (appended to the query); does NOT
filter authors by geography (Quora exposes no reliable author location).
🤖 Optional AI enrichment (OFF by default) — multi-provider ai_expertise
ai_intent from bio + credentials; null on failure or without a key.
Preserved from base
🔎 Keyword search of Quora (URLs discovered via DuckDuckGo, Bing fallback) — no login.
🔗 Direct URL scraping for questions, answers, profiles, topics and spaces.
