📯 HipPostcard Scraper — Postcard Marketplace Listings & Price Monitor

Scrape live HipPostcard.com collectible postcard listings — title, price, seller, condition, era/topic, and photos — by keyword or seller. Then run it on a schedule as a new-listing / price-drop monitor that pings Slack, email, or webhook the moment a card you want is listed, so you grab it first.

Turn a leading postcard marketplace into a clean dataset or a real-time deal alert. No login, no browser automation — listing title, price, seller and photo come straight from the server-rendered grid.

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What does HipPostcard Scraper do?

HipPostcard Scraper extracts collectible postcard listings from HipPostcard.com and returns clean, structured rows you can export to JSON, CSV, Excel, or push to your app via API. Real photo (RPPC), linen, chrome, topographical, holiday, advertising and topical cards — across listings from hundreds of dealers.

• 🔎 Search by keyword — places & topics ("real photo new york", "halloween postcard", "linen 1940s"). Server-side.
• 🏪 Scope to a seller — pull a single dealer's entire store.
• 💵 Price + type — fixed-price (buyout) and auction listings, with a price-band filter.
• 🏷️ Seller, condition, item specifics — the detail collectors compare on.
• 🖼️ Full photo gallery — every image on the listing.
• 🔔 New-listing & price monitor — schedule it and get Slack / email / webhook alerts when a matching card is listed or a watched listing's price changes.

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What data does it extract?

For every postcard listing:

• 🆔 listing_id, 🔗 lot_url, 🏷️ title
• 💵 price, price_type (fixed / auction)
• 🏪 seller, 🧾 condition, 📋 specifics{}
• 📝 description, 🖼️ images[], thumbnail
• ⭐ sponsored, ✨ is_new (monitor mode), 🕒 scraped_at

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Who is it for?

• 🖼️ Deltiologists (postcard collectors) hunting specific towns, topics, or eras — alerted the moment one lists.
• 🛒 Dealers & resellers monitoring market pricing and competitor inventory.
• 🏙️ Historians & researchers sourcing real-photo views of places and events.
• 📊 Catalog builders assembling structured postcard datasets.

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Two ways to use it

1. Bulk scrape — pull every listing for a keyword, price band, or a seller's store into one clean dataset.
2. New-listing / price monitor (the recurring play) — set monitorMode: true, attach an Apify Schedule, and the actor alerts only newly-listed cards (or price changes on your watchlist). Perfect for want-lists.

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How to use it (step by step)

1. Click Try for free.
2. Enter a keyword (e.g. real photo new york) — or a seller store, or leave both blank to browse all.
3. (Optional) add a price band, listing type, or condition filter.
4. (Optional) turn on Fetch full details for the full gallery + item specifics.
5. Click Start, then open the Dataset tab to view/export.
6. (Optional) set monitorMode + a Schedule + an alert channel to get pinged on new listings.

Quick start

{ "keyword": "real photo new york", "maxLots": 50 }

New-listing monitor example

{
  "keyword": "halloween postcard",
  "monitorMode": true,
  "alertOnNewLot": true,
  "slackWebhookUrl": "https://hooks.slack.com/services/…"
}

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Input

Field	What it does
keyword	server-side keyword search over listing titles
sellerStore	scope to one dealer's store
priceMin / priceMax	price band filter
listingType	all · fixed · auction
conditionContains	client-side title/condition filter (e.g. rppc, linen)
sortBy	newest · price_asc · price_desc · site default
fetchDetails	add description, item specifics, and the full photo gallery
maxLots	hard cap per run (0 = unlimited)
monitorMode, alertOnNewLot, alertOnPriceChange, watchlistIds	recurring watcher + alerts
webhookUrl, slackWebhookUrl, emailRecipients	alert channels
proxyConfiguration, requestConcurrency	proxy + parallelism

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Output

Each listing is one dataset record (fields above). Export to JSON, CSV, Excel, HTML, or RSS, or fetch via the Apify API. Prices are numbers in USD.

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How much does it cost?

Pay-per-event — you pay for what you pull, no subscription. Suggested rates:

Event	What it covers	Suggested price
lot-scraped	each listing returned	~$0.003 / listing
lot-detail-enriched	each detail-page fetch	~$0.003 / listing
monitor-run-completed	each scheduled watch run	~$0.05 / run
new-lot-detected	each newly listed item	~$0.02 / item
alert-delivered	each Slack/email/webhook push	~$0.005 / alert

(Final per-event prices are set on the actor's pricing page.)

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Is it legal to scrape HipPostcard?

HipPostcard listings are public e-commerce product data, browsable without a login, and are item/listing data — not personal data. Scraping publicly available listings is generally legal, but you are responsible for your use: review the current HipPostcard Terms of Service before commercial use or resale of the data.

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FAQ

What is HipPostcard? HipPostcard.com is an online marketplace dedicated to collectible postcards, hosting listings from hundreds of dealers across every era and topic.

Do I need an account or login? No. The actor reads public listing data directly.

Can I monitor new listings and get alerts? Yes. Turn on monitorMode, attach an Apify Schedule, and add a Slack/webhook/email channel. Each run alerts only listings new since the last run — ideal for a want-list.

Can I scrape a single dealer's store? Yes — set sellerStore to the dealer's store name.

Does it return photos and item specifics? Yes — thumbnail per card, and the full images[] gallery plus condition specifics when fetchDetails is on.

How do I export the data? JSON, CSV, Excel, HTML, or RSS from the Dataset tab, or via the Apify API.

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You might also like

• 📮 HipStamp Scraper — the same engine for collectible stamps (HipStamp.com)
• 📚 HipComic Scraper — the same engine for collectible comics (HipComic.com)
• 🔨 Auction & marketplace scrapers for other collectibles verticals

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Feedback

Found a missing field or want a new filter? Open an issue on the actor — fast fixes and feature requests welcome.