Swappa Scraper: Devices, Photos and Sold Price History

Collect Swappa listings for used electronics with asking prices, condition, battery health, seller information and full photo galleries. Get completed sales, monthly sold-price trends and trade-in values for each model. Search by device name or paste listing, product, price, guide or category links, then export the results as JSON, CSV or Excel or read them through the Apify API.

Why This Scraper?

• Asking prices and completed sales. Compare active listings with the amounts buyers actually paid, including condition, carrier and storage for each published sale.
• Full device photos. Enable fetchDetails for all available full-size listing photos, descriptions, damage notes, seller policies and hardware specifications.
• Seller context. Collect seller names, profile links, ratings, rating counts, locations, payment options and seller badges.
• Several ways in. Search by model name or paste catalog, product, prices, guide, sales-history, individual listing, category or brand links.
• History depth. Get monthly price trends and trade-in values, with optional deeper completed-sale history.
• Repeatable monitoring. Incremental mode labels new, updated, reappeared and expired records; resume mode skips records already collected by an interrupted run.
• Scoped collection. Filter search results by condition, storage, carrier and other device options. URL mode preserves the filters and starting page in your pasted links.

Use Cases

• Used-device retailers: compare asking prices and completed sales before sourcing inventory.
• Resellers: assess device condition, photos, damage notes and seller policies together.
• Pricing analysts: track depreciation across models, storage sizes and condition grades.
• Marketplace researchers: monitor inventory, seller activity and changes on a schedule.

Data You Get

Sample shape: values are illustrative placeholders, not from a live record.

Field	Example
kind	listing or soldPrices
listingId	LAAA00000
productSlug / productName	apple-iphone-15-pro / Apple iPhone 15 Pro
price / priceExact / currency	500 / 499.75 / USD
condition / damageDescription	Good / Minor scratches on the frame.
batteryHealthPct	92
storage / color / carrier	256GB / Blue / Unlocked
modelNumber / gtin13	A0000 / 0000000000000
images / imageCount / imagesComplete	Full-size photo URLs / 7 / true
sellerId / sellerName / sellerProfileUrl	ABC000 / Sample Seller / seller profile URL
sellerRating / sellerRatingsCount	5.0 / 100
sellerLocation / sellerBadges	Sample City / ["Trusted Seller"]
description / sellerAddendum	Seller-provided description and additional terms
shippingCost / shippingPolicy / shippingDetails	0 / seller policy text / shipping information
returnPolicy / returnDetails	Seller return terms and marketplace return information
compatibleCarriers / conditionDetails	Compatible carriers and condition requirements
listingBadges / stockPhotos	["Approved", "Featured"] / false
listedAt / listingUpdatedAt / listingExpiresAt	2026-01-01 / 2026-01-03 / 2026-01-31
specifications	Grouped camera, processor, memory, battery, display, dimensions and weight specifications
changeType / changedFields	UPDATED / ["price"]
url / scrapedAt	Listing URL / 2026-01-01T00:00:00Z

Sold-price records contain salesHistory, soldPriceMin, soldPriceAvg, soldPriceMax, priceTrend, storagePrices, carrierStoragePrices and the dates covered. Photos, policies and specifications depend on what the listing publishes. imagesComplete: false means the full gallery could not be collected; the returned photos are partial. Results, Devices for sale, Device details and Sold price history are available as separate output tabs.

How to Use

1. Select Search for model names or URL for pasted Swappa links.
2. Choose Listings, Sold prices, or Both, then enable device details or deeper sold history if needed.
3. Set Max listings to control the number of returned records.
4. Start the run and download the dataset or access it through the API.

Search by device name:

{
  "mode": "search",
  "queries": ["iPhone 15 Pro"],
  "resultType": "listings",
  "fetchDetails": true,
  "maxListings": 20
}

Use product, price and category links:

{
  "mode": "url",
  "urls": [
    "https://swappa.com/listings/apple-iphone-15-pro?condition=mint&page=2",
    "https://swappa.com/prices/apple-iphone-15-pro",
    "https://swappa.com/catalog/product/apple-iphone-15-pro",
    "https://swappa.com/guide/apple-iphone-15-pro",
    "https://swappa.com/buy/phones"
  ],
  "resultType": "both",
  "fetchDetails": true,
  "maxListings": 20
}

Collect deeper sold-price history:

{
  "mode": "search",
  "queries": ["iPhone 15 Pro", "Galaxy S24 Ultra"],
  "resultType": "soldPrices",
  "deepSoldHistory": true,
  "maxListings": 2
}

Monitor a model for changes:

{
  "mode": "search",
  "queries": ["iPhone 15 Pro"],
  "resultType": "listings",
  "condition": "mint",
  "incrementalMode": true,
  "emitExpired": true,
  "stateKey": "iphone-15-pro-mint",
  "maxListings": 100
}

Run it from your code

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("abotapi/swappa-com").call(run_input={
    "mode": "url",
    "urls": ["https://swappa.com/prices/apple-iphone-15-pro"],
    "resultType": "both",
    "fetchDetails": True,
    "maxListings": 5,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('abotapi/swappa-com').call({
  mode: 'url',
  urls: ['https://swappa.com/prices/apple-iphone-15-pro'],
  resultType: 'both',
  fetchDetails: true,
  maxListings: 5,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Use the Integrations tab to connect Make, Zapier, n8n, Google Sheets or webhooks.

URL behavior and limits

Model listing, product, prices, guide and sales-history links select the same device model. A single-device link selects that listing and, when requested, its model's sold-price history. Category, brand and price-index links collect the device models shown on that page. URL filters and page=N are preserved for device listings; search-only filters do not replace them. Price and battery bounds apply to listings in either mode.

maxListings counts both device and sold-price records. With both, allow enough room for both kinds. maxPages limits pages per model; omitted or 0 means no page limit. An expired or unavailable listing cannot supply an active device record. Unsupported links fail with a clear message.

History, resume and recurring runs

Monthly trends typically cover a rolling six-month window. Recent completed sales are limited per model and filter combination, so their date range varies. deepSoldHistory collects additional condition, carrier and storage combinations and merges duplicate sales. Missing monthly prices remain null.

Use resumeFromRunId to finish an interrupted run without repeating its collected listing IDs. Use incrementalMode with the same stateKey for recurring monitoring. emitUnchanged includes unchanged rows; emitExpired applies only when the run proves that the monitored catalog was fully scanned. Capped or incomplete runs do not prove that unseen listings expired.

Send results into your apps (MCP connectors)

Results can optionally be piped into apps you already use, through Model Context Protocol connectors. Authorize a connector under Apify, Settings, API and Integrations, then select it in the mcpConnectors input. For Notion, also set notionParentPageUrl to the page under which item pages should be created. Use maxNotifyListings to cap how many items are written to each connector per run.

What gets written is a condensed, human-readable summary per item: a title plus the key fields flattened to plain text. Nested objects collapse to their main value and arrays are trimmed to a few entries, so the connector view is a digest, not a mirror. The complete record, including the full images, salesHistory and priceTrend arrays, always stays in the Apify dataset. Leaving mcpConnectors empty skips the export entirely and never changes the dataset output.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	Search device names or read pasted links in url mode.
queries	array	empty	Search mode: device names or product slugs.
resultType	string	both	listings, soldPrices, or both.
condition	string	any	Search mode: new, mint, good, or fair.
carrier	string	any	Search mode: carrier compatibility, including unlocked, att, t-mobile, verizon, and mint.
storage	string	any	Search mode: storage token, such as 128gb or 1tb.
color	string	any	Search mode: color token.
modeln	string	any	Search mode: model-number token.
sort	string	site default	Search mode: price_low, price_high, listing_created_newest, or listing_created_oldest.
withWarranty	boolean	false	Search mode: one-year warranty listings only.
acceptsCreditCards	boolean	false	Search mode: sellers accepting card payments.
carrierUnlockedOnly	boolean	false	Search mode: unlocked devices only.
excludeBusinesses	boolean	false	Search mode: individual sellers only.
phoneCheckCertified	boolean	false	Search mode: certified devices only.
internationalShipping	boolean	false	Search mode: international shipping listings only.
urls	array	empty	URL mode: listing, product, prices, guide, sales-history, category or brand links.
minPrice	integer	unset	Both modes: minimum device price in USD.
maxPrice	integer	unset	Both modes: maximum device price in USD.
minBatteryHealth	integer	unset	Both modes: minimum battery percentage; devices without a percentage are excluded.
fetchDetails	boolean	false	Collect full galleries and device details. Adds a per-record surcharge for enriched results.
deepSoldHistory	boolean	false	Collect deeper completed-sale history. Adds a per-record surcharge for deepened results.
maxListings	integer	20	Maximum returned records across both kinds. 0 means unlimited.
maxPages	integer	unlimited	Maximum catalog pages per model. Omitted or 0 means unlimited.
incrementalMode	boolean	false	Label and suppress records using the previous matching baseline.
emitUnchanged	boolean	false	Also emit unchanged records.
emitExpired	boolean	false	Emit missing listings after a complete catalog scan.
stateKey	string	derived	Name the recurring monitoring baseline.
resumeFromRunId	string	unset	Skip listing IDs already collected by this run or dataset.
proxy	object	Residential, US	Connection settings; use the recommended input preset.
mcpConnectors	array	empty	Optional connectors for sending results into your apps.
notionParentPageUrl	string	unset	Parent Notion page for connector output.
maxNotifyListings	integer	50	Maximum records sent to each connector.

Output Example

Sample shape: values are illustrative placeholders, not from a live record.

{
  "kind": "listing",
  "listingId": "LAAA00000",
  "productSlug": "apple-iphone-15-pro",
  "productName": "Apple iPhone 15 Pro",
  "brand": "Apple",
  "title": "Sample listing headline",
  "price": 500,
  "priceExact": 499.75,
  "currency": "USD",
  "condition": "Good",
  "batteryHealthPct": 92,
  "storage": "256GB",
  "color": "Blue",
  "carrier": "Unlocked",
  "carrierUnlocked": true,
  "modelNumber": "A0000",
  "gtin13": "0000000000000",
  "featured": true,
  "listingBadges": ["Approved", "Featured"],
  "stockPhotos": false,
  "imageUrl": "https://static.swappa.com/media/listing/LAAA00000/sample-front.jpg",
  "images": [
    "https://static.swappa.com/media/listing/LAAA00000/sample-front.jpg",
    "https://static.swappa.com/media/listing/LAAA00000/sample-back.jpg"
  ],
  "imageCount": 2,
  "imagesComplete": true,
  "sellerId": "ABC000",
  "sellerName": "Sample Seller",
  "sellerProfileUrl": "https://swappa.com/profile/ABC000",
  "sellerRating": 5.0,
  "sellerRatingsCount": 100,
  "sellerLocation": "Sample City",
  "sellerBadges": ["Trusted Seller"],
  "acceptsPaypal": true,
  "acceptsCreditCards": true,
  "description": "Sample device description.",
  "damageDescription": "Minor scratches on the frame.",
  "sellerAddendum": "Sample seller terms.",
  "compatibleCarriers": ["AT&T", "T-Mobile", "Verizon"],
  "compatibleCarrierCount": 3,
  "shippingCost": 0,
  "shippingPolicy": "Sample shipping policy.",
  "shippingDetails": ["Ships with tracking and insurance."],
  "returnPolicy": "Sample return policy.",
  "returnDetails": ["Marketplace return policies apply."],
  "conditionDetails": ["Minor wear and tear."],
  "listedAt": "2026-01-01",
  "listingUpdatedAt": "2026-01-03",
  "listingExpiresAt": "2026-01-31",
  "specifications": [
    {"group": "Battery and Charging", "name": "Capacity", "value": "3274 mAh"}
  ],
  "detailFetched": true,
  "changeType": "NEW",
  "changedFields": [],
  "firstSeenAt": "2026-01-01T00:00:00Z",
  "lastSeenAt": "2026-01-01T00:00:00Z",
  "url": "https://swappa.com/listing/view/LAAA00000",
  "scrapedAt": "2026-01-01T00:00:00Z"
}

Plan Requirement

Use an Apify account with access to the connection settings selected in the input. Check the Pricing tab for current result and enrichment charges.

FAQ

How much does it cost?

See the Pricing tab for current rates. maxListings controls the returned record count. Device details and deeper sold history add a surcharge to successfully enriched records.

Is it legal to scrape Swappa?

Use publicly available data and follow the site's terms, applicable privacy laws and other regulations. You are responsible for having a lawful basis for any personal data you process.

Can I collect only new or changed devices on a schedule?

Yes. Enable incrementalMode and reuse the same input scope and stateKey. Leave emitUnchanged off to suppress unchanged records. Use resumeFromRunId separately to finish an interrupted collection.

Why do I see only one photo?

Catalog-only collection returns a preview image. Enable fetchDetails for the full images array. Check imagesComplete to distinguish a complete gallery from a partial read. Some listings publish only one photo or use seller stock photos.

Can I paste a prices link and still get device listings?

Yes. Product, prices, guide and sales-history links select the model; resultType selects its listings, sold history or both. Category and brand links select the models shown on that page.

Why did my run fail instead of returning an empty dataset?

An unreadable page or unsupported link is reported as a failure. Review the input and try again shortly. An empty market or a filter with no matching devices is different from a page that could not be read.

Can I use the results with AI agents or MCP?

Yes. Read the dataset through the Apify API or configure the optional MCP connectors to send a summary into your apps. The complete records remain in the dataset.

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