coldwellbankerhomes.com is a brokerage storefront wired into local MLS feeds: every Coldwell Banker listing names its source board, its tax history and the office that holds it.
Plans from €169/month · Free project assessment · Reply within 1 business day
You set the scope - states, metros, counties, cities or ZIP codes, and which status sets: for sale, pending, recently sold, rentals, foreclosures, open houses. We build the crawler, run it on your schedule and deliver CSV, JSON, XLSX or a Coldwell Banker API endpoint, with field names, the deduplication key and the MLS attribution string agreed up front.
Coverage follows the site's shape: results pages hold 24 rows and run to the true end of a set, so a big county means hundreds of pages and slicing by city, ZIP, type and price band is cheaper. Anti-bot handling, proxy rotation and CAPTCHA solving are part of the managed service. We work only on public pages and never log in. We collect only publicly available data - everything a visitor can see on Coldwell Banker - and we collect it legally.
A detail page opens with the headline block - street address, city, state, ZIP, asking price, status badge, property type, beds, full and partial baths, square feet, lot acres, garage spaces, photo count - and then unfolds a Full Property Details table grouped the way the source feed delivers it: General, Interior, Rooms, Exterior, Parking, Location, Community, Heating and Cooling, Utilities, Structural Information, Lot Features, Financial Considerations, Disclosures and Reports.
The General group is where a Coldwell Banker price record starts: list price or monthly rent, HOA fee with its frequency, annual taxes with the tax year, listing status, property type, the named source board, the MLS ID, the last updated date and an Added to Site counter in days. Days on market is derived from that pair and from the listing event in the history table, because the site prints when a listing arrived rather than a market-days field of its own.
Below it the tables get denser. Interior carries features, appliances, flooring, fireplaces and furnishings; Rooms breaks bedrooms and bathrooms down floor by floor; Location gives county, township, subdivision and cross streets; Community names the association and what its fees include; Structural Information holds architectural style, exterior construction, roof, windows, year built and the square footage source; Lot Features gives acres, square feet, lot description and the view; Disclosures and Reports carries ownership type, legal description, the assessor parcel number, range, section and lot number.
Three tables finish the record: Price and Sales History with date, event, price, percent change and source; Tax History with the year, the property tax, the assessed value and the change on each; and Schools with the district, each school's name, address, grades and distance. Add the full photo set, virtual and 3D tour links, latitude and longitude, and the listing brokerage, and that is the row shape we extract Coldwell Banker listings into.
For sale is only one status. Every place has parallel paths - rentals, recent sales, condos and townhomes, foreclosures and bank-owned, new homes, open houses - and each is a separate crawl set with its own pagination. Rental pages swap the price field for a monthly rent and add furnished and furnishings; recent sales carry the closed price and date; open house cards print the day, the date and the time window. Region hubs stack a Global Luxury search and a subdivision search on top of those.
The people layer is the part most buyers underestimate. The 542 branch offices publish a street address, phone number, branch manager, an areas-served list of cities and their own listings, and roughly 41,000 agent profiles and about 1,270 team pages hang off them. We deliver the office and franchise level - office name, identifier, city, areas served - and leave agent names, portraits, phone numbers and mailboxes out of the default schema.
Two limits are worth knowing before scoping. Field depth varies by source board: some MLSs let the whole detail table render, others cut it short with a note that local MLS rules require a signed-in account, and we do not sign in. Commercial stock is not on this domain at all - the navigation hands it off to a separate Coldwell Banker Commercial site.
Coldwell Banker is a US brokerage brand inside Anywhere Real Estate, alongside Century 21, ERA, Corcoran, Better Homes and Gardens Real Estate and Sotheby's International Realty. The brand's corporate domain is a separate site; the inventory lives on coldwellbankerhomes.com, and that is the address a Coldwell Banker scraper has to work against, because this is where addresses, asking prices, MLS numbers and office attribution are actually published.
The catalog is not a national index. It is stitched together from the multiple listing services covering the markets where Coldwell Banker Realty runs offices, so the HTML sitemap reaches 34 states plus the District of Columbia and the crawl trees are cut into 23 company regions: florida, carolinas, austin-houston, dallas-fort-worth, chicago-milwaukee, southern-california, northern-california, pacific-northwest, mid-atlantic, tri-states, new-england, new-york-city and the rest. Ask for a city in Montana, Idaho or Tennessee and nothing answers at all.
Most rows are co-broke. A footer line marks any property listed by a brokerage other than Coldwell Banker Realty, and a Listed by block names that firm, so the site doubles as a window on the whole board rather than on one company's book. The brand splits the same way: the notice at the bottom of every page says the Coldwell Banker System mixes company-owned offices held by a subsidiary of Anywhere Advisors with franchised offices that are independently owned and operated. The franchised ones run their own storefronts; the 542 branches profiled here each carry an oid identifier, a city and their own listings.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →A brokerage storefront answers a question the big portals cannot: what a firm with agents on the ground is asking for a house this week, and what the board around it looks like. Teams that scrape Coldwell Banker inventory are usually after one of four things - a price series, an inventory count, a competitive read on a rival brokerage, or an address-level match against records they already hold.
Price monitoring is the common case. Repeat crawls over the same property set turn the Price and Sales History rows into cuts, relists and closings, and the percent change column is printed on the page, so a reduction never has to be inferred from two snapshots. Housing inventory work leans on the state hub tables, which publish the number of properties for sale and the average listing price for every city in the state - a market panel that needs a schedule rather than a model.
Lenders and appraisal desks come for the tax and assessment series sitting next to the asking price. Proptech products come for the school block and the parcel number, the two fields that let a row be joined to county records. Brokerage analysts come for the co-broke mix: because every listing says whether it belongs to another firm, a Coldwell Banker data feed doubles as a share-of-listings read on the MLS territory around each office.
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Real estate teams work in a fragmented data landscape. The sites that drive demand in Boston look nothing like the ones that matter in Berlin, São Paulo, Dubai, or Mumbai.
Real estate teams are operating in a data environment that is bigger, faster, and more fragmented than ever. Listings go live and disappear in hours, price cuts happen quietly, and the portals that matter most in each country are rarely the same global “top 5.”
Six jobs that scraped property data does, each backed by a ScrapeIt project: seller leads, listing monitoring, image datasets, weekly market supply, sold records and unit-level rentals. For every use case - the fields it needs and how often to refresh them.
ScrapeIt is a managed web scraping agency. You describe the rows you need; we own the crawler, the proxies, the parsing and the monitoring, and you get a file or an endpoint on a schedule you set. Real estate is a large share of our work, so the awkward parts of a brokerage site are handled before anything reaches you: field sets that shift between MLS boards, pagination that quietly rolls back to the first page, statuses that flip between runs, and duplicate addresses arriving from two feeds at once.
Yes. The ScrapeIt Coldwell Banker API returns address, asking price, status, MLS ID, price and sales history and tax history as JSON from an endpoint we host, refreshed on the schedule you set, using your own field names and your own identifiers. The same data also comes as CSV or XLSX files or straight into your database.
Anything the site itself serves. That is 34 states plus the District of Columbia, organised into 23 company regions, and within each one you can scope by county, city, neighborhood or ZIP code. Property types follow the site's own filters: single family, condo and townhouse, apartment, multi-family, mobile home, plus land and farm. States outside the footprint, such as Montana or Tennessee, simply have no pages, and commercial property lives on a separate site we would quote separately.
Each listing carries its own last updated date and an Added to Site counter, and the MLS footer prints its own feed timestamp, so freshness is measurable per row rather than assumed. Daily is the usual cadence for price monitoring and status flips; hourly is possible on a narrow watchlist of ZIP codes or a single office's listings. Full-footprint sweeps of every active listing normally run weekly, because the site's sitemap trees rebuild on a daily and weekly cycle themselves.
CSV, JSON, XLSX, a database dump or an API endpoint, delivered to S3, GCS, SFTP or a webhook. The default schema mirrors the detail page: address parts, property id, MLS ID and source board, price or rent, beds, baths, square feet, lot size, year built, type, status, HOA fee, taxes and tax year, parcel number, school district, coordinates, photo URLs, listing brokerage and office. Price history, tax history and school rows come as nested arrays or as separate joined tables, whichever suits your warehouse.
Yes. Addresses, asking prices, price and tax history, schools and office pages are shown to any signed-out visitor. We collect only publicly available data - everything a visitor can see on Coldwell Banker - and we collect it legally. We do not log in or touch anything behind an MLS sign-in wall, and we do not gather agent contact details by default.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Coldwell Banker Homes data from €169/month. Free project assessment, reply within 1 business day.
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