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Local.com Reviews Scraper: Live Ratings Data

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Local.com Reviews Scraper: Live Ratings Data

Local.com Reviews Scraper: Live Ratings Data

Collect live Local.com review intelligence at scale: keyword search across expert reviews and buying guides, category top picks with scores, and full in-depth product reviews. Structured JSON streamed to your dataset in real time.

Pricing

from $1.50 / 1,000 results

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Emmanuel

Emmanuel

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6 days ago

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Local.com Real-Time Data

Live review intelligence from Local.com — expert product reviews, category top picks with scores, and in-depth buying guides, delivered as structured JSON the second each record is collected.

Free trial: free Apify plans get 2 results per run. Upgrade to a paid plan for unlimited exports.

Who this is for

  • Affiliate marketers & publishers tracking which products top each Local.com category
  • Competitor researchers watching rival rankings, scores, and review coverage
  • Agencies & brands monitoring their own products' review presence and summaries
  • Content teams finding content gaps across software, finance, health, and lifestyle topics
  • AI-agent builders feeding fresh, structured review data into chatbots and copilots

Use cases: affiliate shortlist building, leaderboard tracking over time, review-coverage audits, buying-guide research, pros/cons harvesting, content-gap analysis.

Features

FeatureWhat you get
🔍 Category Search (default on)Keyword search across expert reviews and buying guides. Fast cards: title, page type, category, excerpt. Optional Enrich with full review details merges the full summary, section outline, dates, and image into the same row (detailsFetched: true).
🏆 Category DetailsTop-pick leaderboard per category URL: product name, tagline, score out of 10, score label, vendor link, image.
⭐ ReviewsFull in-depth expert review per review URL: summary, section outline, publish/update dates, image, content snippet.
🔗 Scrape By URLAny Local.com category, review, guide, or search URL — page type auto-detected.

Every discovered item is always saved — enriching never drops rows and never creates duplicates.

Input reference

FieldTypeDefaultNotes
countryselectUSMarket region (US, CA, UK, AU).
enableCategorySearchcheckboxtruePrimary discovery feature.
searchKeywordsstring list["payroll software", "seo tools", "antivirus"]Required when search is on.
searchMaxResultsnumber10Max results per keyword (1–100).
searchFetchFullDetailscheckboxfalseEnrich each search row in place. Adds a little extra time per record.
enableCategoryDetailscheckboxfalseRequires categoryUrls.
categoryUrlsstring list[]e.g. https://www.local.com/payroll-software.
enableReviewscheckboxfalseRequires reviewUrls.
reviewUrlsstring list[]e.g. https://www.local.com/payroll-software/reviews/gusto.
enableScrapeByUrlcheckboxfalseRequires scrapeUrls (Local.com URLs only).
scrapeUrlsstring list[]Any Local.com page.
webhookUrl / webhookFormattext / select"" / jsonExtra real-time push per record; json or slack.
proxyConfigurationproxyResidential USResidential recommended at scale.

Empty input still runs a useful demo: Category Search over three sample keywords, 10 results each.

Output reference

One dataset row per item (featureType: category_search, category_details, review, scrape_by_url).

  • Search rows: keyword, title, page_url, page_type (review/guide), category, product_name, excerpt, image_url, sections, published_at, updated_at, position, detailsFetched.
  • Category rows: category, product_name, tagline, score (0–10), score_label, vendor_url, image_url, position.
  • Review rows: category, product_name, title, excerpt, sections, published_at, updated_at, image_url, content_snippet.
  • URL rows: pageType, title, product_name, data (structured payload).

OUTPUT views: allResults, overview, search, details, reviews, scrape_by_url.

Webhooks

Set webhookUrl to POST every record in real time as JSON (webhookFormat: json), or as a Slack-friendly message (slack). Best-effort delivery — a failed webhook never stops the run or the dataset write.

MCP / AI-agent usage

Pair with the Apify MCP server: your agent can start runs and query the dataset with natural language.

Example prompt for your agent:

“Using the Local.com Real-Time Data actor, search Local.com for 'payroll software', enrich the top results, and tell me which products are reviewed and what each review covers.”

FAQ

  • Which connection should I use? Residential US works best. The default is already set — just click Start.
  • How fresh is the data? Every run collects live data at runtime; each row carries a scrapedAt timestamp.
  • What does the free trial include? 2 results per run on free Apify plans. Paid plans are uncapped.
  • Does enriching filter anything out? No. Every discovered result is saved; enrichment only adds fields to the same row.
  • Do webhooks replace the dataset? No — the dataset is always written. Webhooks are an additional real-time copy.