Perplexity Search Answers Scraper avatar

Perplexity Search Answers Scraper

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from $1.99 / 1,000 perplexity search answers scraper results

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Perplexity Search Answers Scraper

Perplexity Search Answers Scraper

Scrapes AI-generated answer content from Perplexity (perplexity.ai/search). Extracts the full canonical answer-vertical schema: query, full answer text, answer HTML, model used, citation count, related questions, answer sections, and timestamp.

Pricing

from $1.99 / 1,000 perplexity search answers scraper results

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Search API

Search API

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14

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12

Monthly active users

2.2 hours

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4 days ago

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Scrapes AI-generated answer content from Perplexity (perplexity.ai/search). Extracts the full canonical answer-vertical schema: query, full answer text, answer HTML, model used, citation count, related questions, answer sections, and timestamp.

What this Actor collects

The Actor converts AI-generated answers with their supporting metadata into clean JSON records that can be downloaded, queried through the Apify API, or sent to downstream workflows.

  • Uses the input limits and filters below to control the crawl.
  • Stores source-backed fields defined by the 29-field dataset schema.
  • Omits optional fields when the source does not expose a value instead of writing nulls or fabricated placeholders.

Use cases

  • Answer-engine monitoring
  • Citation and source research
  • Generative-search analysis

Input

Provide input in JSON. Fields marked required must be supplied; source-specific alternatives and constraints are described in the field text.

FieldTypeRequiredDefaultDescription
querystringYes"What is the capital of France?"The question to ask Perplexity. Perplexity returns one AI-generated answer per query.
maxItemsintegerNo1Maximum number of answer records to push (typically 1 per query; allow higher for batch multi-query mode).
queriesarrayNo[]Optional array of additional queries to ask in batch mode. Each query produces a separate answer record.
focusModestringNo"web"Perplexity's focus mode (search scope). 'web' searches the whole web, 'academic' uses scholarly sources, 'social' uses social media, 'youtube' uses YouTube, etc.
modelstringNo""Optional model override. Leave empty to use Perplexity's default. 'pplx-pro' selects the Pro search model.
languagestringNo"en-US"Language code for the answer locale (e.g. 'en-US', 'en-GB', 'de-DE', 'fr-FR').
proxyConfigurationobjectNo{"useApifyProxy":true}Proxy settings. Residential proxies are strongly recommended — Perplexity aggressively blocks datacenter IPs.

Example input

{
"query": "What are the main causes of climate change and what solutions are being proposed?",
"maxItems": 1,
"language": "en-US",
"proxyConfiguration": {
"useApifyProxy": false
},
"focusMode": "web"
}

Output

The default dataset contains one AI-answer item per processed query. The following are the most useful fields; availability can vary by model, focus mode, and source response.

FieldTypeDescription
positionintegerPosition
querystringQuery
answerTextstringAnswer Text
modelstringModel
focusModestringFocus Mode
citationCountintegerCitation Count
sourceCountintegerSource Count
sectionCountintegerSection Count
wordCountintegerWord Count
searchUrlstringSearch URL
scrapedAtstringScraped At
typestringType
searchQuerystringSearch Query
resultTypestringResult Type
pageintegerPage
answerHtmlstringAnswer HTML

Example dataset item

This compact example is taken from local Actor storage. Long text and nested collections are shortened for documentation only.

{
"position": 1,
"query": "What are the main causes of climate change and what solutions are being proposed?",
"answerText": "Climate change is mainly caused by human activities that increase greenhouse gases in the atmosphere, especially burning fossil fuels, deforestation, agriculture, and industrial p…",
"model": "Best",
"focusMode": "search",
"citationCount": 2,
"sourceCount": 10,
"sectionCount": 3,
"wordCount": 200,
"searchUrl": "https://www.perplexity.ai/search/e89b39a6-4790-4525-abc9-1d481ac98d57",
"scrapedAt": "2026-07-23T12:22:41.983Z",
"type": "answer"
}