March 2025

Redfin Agent or Brokerage details in structured JSON

Possible use cases:

  • Create lead generation lists of agents and/or brokerages

  • Performance & Market tracking for specific regions

  • Competitor insights by tracking brogerage market share, specialization or agent movements

  • Market research by finding agents that mostly fit specific needs

How it works:

curl 'https://api.scraperapi.com/structured/redfin/agent?
api_key=api_key&url=https://www.redfin.com/real-estate-agents/name'

Input:

As input you need to add the URL to the Redfin agent or the brokerage you want to scrape.

Output:

  • Contact details like name, license number, contact and language info

  • Sales statistics like number of total sales and sales volume.

  • Current listings including address, listing properties and image URL

  • Reviews including general rating , review details and transactional history.

  • Database of agents and brokerages

👉 Learn more in our documentation.

👉 Use the Async API if you want to schedule requests.

👉 Test run your request in the API Playgroundarrow-up-right.

👉 Use the low-code version with DataPipeline.

Example Output:

Get Redfin 'For Rent' Listings in structured JSON or CSV

Possible use cases:

  • Analyse market trends to predict the rental prices in certain areas

  • Train AI models to predict future rental trends

  • Use real estate data for your real estate business

  • Gather and create real estate email list or use for lead generation

How it works:

Input:

As input you need to add the URL to the redfin property you want to scrape.

Output:

  • Apartment details like floor plans with details for each property and images.

  • Single apartment details like unit size, square feet, price and availability.

  • Property address including the address and google maps url.

  • Schools and places nearby including school names, addresses, ratings and URLs.

  • Fees and policies like parking types and pet policies.

👉 Learn more in our documentation.

👉 Use the Async API if you want to schedule requests.

👉 Use the low-code version with DataPipeline - Create new projectarrow-up-right.

Example Output:

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