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    "description": "Extract Homes.com listings at scale with rich property detail, agent and agency contacts, pricing, media, sale and rental history, MLS data, and flexible market filters. Built for enterprise-grade real estate intelligence, lead enrichment, inventory monitoring, and automated analytics pipelines.",
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      "REAL_ESTATE",
      "LEAD_GENERATION",
      "AGENTS"
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    "title": "Homes.com Scraper with Contacts & History",
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    "readmeSummary": "## Homes.com Scraper\n\nA scraper that converts location-based Homes.com searches into repeatable, normalized structured listing records (JSON) by crawling search results and optionally visiting detail pages for enrichment; it extracts listing identity and traceability, public listing URL, listing status and deal type (sale/rent/sold/other), pricing and price labels, price-per-square-foot and price history when available, address and geographic coordinates, property attributes (type, bedrooms, bathrooms, floor area, year built, highlights, property details), media metadata (primary image and media counts), public contact and agent/agency relationships, and source context and stable identifiers for deduplication and repeated-collection workflows. The Actor supports multi-dimensional filtering (geography, price ranges, property categories, beds/baths, building and lot size, school ratings, publication age, parking, tours, views, year built, and keyword/MLS targeting), result ordering and broader coverage/enrichment modes to increase record depth or discovery.\n\n## Use cases\n\n- Market research and analytics: collect structured property inventory to monitor supply, pricing, availability, and neighborhood comparisons.  \n- Product and content population: populate real estate experiences, internal directories, and editorial or listing-comparison tools with normalized public listing attributes.  \n- Data engineering and ETL: produce consistent, structured listing records for ingestion, normalization, and historical tables.  \n- Lead generation and enrichment: build targeted prospect lists using public listing attributes and contact information where available.  \n- Monitoring and competitive tracking: schedule repeatable collection to observe new listings, price changes, and inventory movement across markets.  \n- Catalog and directory building: aggregate normalized public listing records for internal databases.  \n- Recurring reporting and dashboards: run periodic collections for trend analysis, regional summaries, and alerts.  \n- Targeted inventory review: collect listings that match specific criteria such as price bands, bedroom/bathroom counts, lot or building size, year built, publication age, or keywords.",
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}