🔎 Quora Search Scraper extracts Quora search results and relevant post data fast. 🚀 Perfect for lead gen, market research & content insights. 📊 Save time, scale discovery, and build smarter datasets. 🤖 Get accurate Quora intel effortlessly.
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.