Vestiaire Resale Listings
Pricing
from $0.43 / 1,000 results
Vestiaire Resale Listings
Scrape Vestiaire Collective resale listings by keyword or URL — brand, price with currency, size, condition, and images. Seller names are omitted.
Pricing
from $0.43 / 1,000 results
Rating
0.0
(0)
Developer
Bakos Bence
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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What does Vestiaire Collective Scraper do?
Scrape Vestiaire Collective resale listings by keyword or search URL — brand, price with currency, size, condition, and images. Seller names are omitted.
Unofficial. This Actor is not affiliated with, endorsed by, or maintained by Vestiaire Collective SA. It reads public Vestiaire search results only.
Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.
Luxury resale panel: pair with Chrono24 Watch Listings Scraper for watches, Grailed Listings Scraper for streetwear, or H&M Product Scraper for fast-fashion retail anchors.
Why use this Vestiaire scraper?
- 👗 Keyword / URL search via public search API
- 💶 Prices kept with currency (
priceAmount/priceCurrencyaliases) - 🖼️ Image URLs (
pictureUrlsalias) and sold/likes flags - 🔑 Clone-compatible with
shahidirfan/Vestiaire-Collective-Scraper - 🚫 Seller name/id omitted (personal data of natural persons)
- 🛡️ Apify RESIDENTIAL proxy recommended for search API
How much does it cost?
PPE: Actor start + each listing result. About $0.85 / 1,000 on Free; lower on paid plans (see Pricing tab).
Input
| Field | Description |
|---|---|
keyword / url | Search term or Vestiaire search URL |
results_wanted | Listing cap |
proxyConfiguration | Apify RESIDENTIAL recommended |
{"keyword": "gucci","results_wanted": 5,"proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }}
Sample output
{"id": 65518631,"name": "Leather handbag","title": "Leather handbag","brand": "Gucci","brandName": "Gucci","price": 749,"priceAmount": 749,"currency": "USD","priceCurrency": "USD","url": "https://us.vestiairecollective.com/women-bags/handbags/gucci/leather-handbag/65518631.shtml"}
sellerId / sellerName are not emitted (legal). Drop-in input keys match shahidirfan/Vestiaire-Collective-Scraper.
FAQ
Compatible with shahidirfan/Vestiaire-Collective-Scraper?
Input keys match. Output listing facts plus aliases (brandName, priceAmount, pictureUrls, …). Seller identity is the documented gap.
Something broke?
Open an Issue on this Actor’s Apify page.
Related Actors
| Actor | Use together when… |
|---|---|
| Chrono24 Watch Listings Scraper | You add luxury watch resale prices |
| Grailed Listings Scraper | You compare streetwear resale markets |
| H&M Product Scraper | You anchor against retail fast fashion |
| Vestiaire Collective Scraper | (this Actor) — designer resale search |
Profile: bakos_bence on Apify
Actor ID: bakos_bence/vestiaire-collective
Export to Power BI, Tableau, Looker Studio & Qlik
After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.
Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.
Build a refreshable CSV URL
- In Apify Console, open Settings → Integrations and copy an API token.
- Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
- Use the latest successful task run URL (replace
TASK_IDandYOUR_TOKEN):
https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN
Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:
https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN
Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.
Power BI
- Open Power BI Desktop → Home → Get data → Web.
- Paste the CSV URL (including
token=). - When asked how to sign in, choose Anonymous → Connect.
- Confirm the preview is a table (CSV). Load or Transform data as needed.
- Publish / schedule refresh in the Power BI service using the same URL (task
runs/lastkeeps it current after each scrape).
401: token missing/wrong, or you did not pick Anonymous.
Tableau
- Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
- Connect → To a Server → REST API.
- Paste the CSV URL (including
token=). Set response format to CSV. - If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
- Create an extract. Refresh the extract after scheduled Task runs (or point at
runs/lastso each refresh loads the latest success).
Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.
Looker Studio
Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:
- Create a Google Sheet. In A1 enter:
=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")
- Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
- In Looker Studio → Create → Report → Google Sheets → select that spreadsheet / tab.
- Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.
One-off alternative: Dataset tab → download CSV → Looker Studio File upload.
Qlik
REST connector (refreshable):
- In Qlik Cloud / Qlik Sense → Add data → REST (or create a REST connection in the Data load editor).
- URL = the CSV URL including
token=. Method GET. - Set the expected response type to CSV (or use
format=jsonand JSON mode). - Test connection, pick the table, Add / Load.
- Reload the app after scheduled scrapes; with
runs/last, each reload pulls the latest successful dataset.
Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).
SEO keywords
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