Wine & Agriculture Jobs Scraper · 4 Boards
Pricing
from $2.40 / 1,000 job postings
Wine & Agriculture Jobs Scraper · 4 Boards
Wine jobs and agriculture jobs: postings from Apecita and Vitijob (France), WineBusiness Classifieds (US) and Wine Industry Jobs (Australia) in one run, one schema, deduplicated across sources, no login.
Pricing
from $2.40 / 1,000 job postings
Rating
0.0
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Developer
Vivien MORVAN
Maintained by CommunityActor stats
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Total users
1
Monthly active users
2 days ago
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Wine & Agriculture Jobs Scraper · Apecita, WineBusiness, Wine Industry Jobs, Vitijob
Extract wine and agriculture job postings from 4 sector-specific boards in a single run — Apecita (France, agriculture), WineBusiness Classifieds (United States, wine), Wine Industry Jobs (Australia, wine) and Vitijob (France, wine) — mapped to one unified schema, deduplicated across sources. No login.
What you can do with it
- Search French, American and Australian wine or agriculture postings in one run, instead of buying and maintaining a separate scraper per site.
- Filter once, everywhere:
keywords,locationandremoteapply the same way across every source. - Compare pay and location across the sector: every record shares the same
salaryMin/salaryMax,city,countryandemploymentTypefields, whichever site it came from. - Monitor new postings daily: schedule it with
onlyNewchecked to get, and pay for, only what is new since the last run.
Input
| Field | What it does |
|---|---|
countries | Countries to collect for: FR, US, AU. Default all three. A source outside the requested countries is skipped. |
keywords | Job title, crop, trade or role, for example vigneron or cellar. Empty means each source's own default mix. |
location | City, region or state. Applied client-side on every source. |
sources | Which sources to query: apecita, winebusiness, wineindustryjobs, vitijob. All four by default. |
publishedWithinDays | Keep only postings published in the last N days. Use 1 for a daily monitoring run. |
remote | Keep only postings with this remote policy: any, remote, hybrid or onsite. |
maxItems | The run stops once this many postings are saved, across all sources combined (default 50). |
includeDescriptions | Add the job description as plain text (default off, for speed). |
onlyNew | For scheduled runs: skip postings an earlier run of this same search already delivered. |
Output
One record per posting, in the schema shared by every job actor on this account:
| Field | Type | Meaning |
|---|---|---|
id, url | string | Stable identifier (<source>:<native id>) and public link |
title, companyName | string | Job title and employer as displayed |
companyUrl | string or null | Company page on the source site, when it exists |
locationLabel, city, region, postalCode, country | string or null | Where the job is based |
remote | string | remote, hybrid, onsite or unknown |
employmentType | string | full_time, part_time, contract, freelance, internship, apprenticeship, temporary or unknown |
salaryMin, salaryMax, salaryCurrency, salaryPeriod | number or null | Salary range, as numbers, in the site's own currency |
datePosted, validThrough | string or null | ISO dates |
description | string or null | Plain text, only when includeDescriptions is on. No personal data. |
experienceLevel, industry | string or null | As named by the site |
skills | string[] | Skills listed by the site, if any |
source, sourceId, scrapedAt | string | Host name of the source site, its native id, extraction timestamp |
Real example (Vitijob, 2026-11-03, description truncated here):
{"id": "vitijob.com:114837","url": "https://www.vitijob.com/emploi/114837/responsable-commercial-france-et-export-h-f","title": "Responsable commercial France et Export (H/F)","companyName": "AOC CONSEILS","companyUrl": null,"confidentialCompany": false,"locationLabel": "Saint-Émilion","city": "Saint-Émilion","region": "Gironde","country": "FR","remote": "unknown","employmentType": "full_time","salaryMin": 40000,"salaryMax": 60000,"salaryCurrency": "EUR","salaryPeriod": "year","datePosted": "2026-11-02","validThrough": "2027-02-02","experienceLevel": "De 5 à 10 ans d'exp","industry": "Commerce, Export / International","skills": [],"source": "vitijob.com","sourceId": "114837","scrapedAt": "2026-11-03T07:04:44.268Z"}
Why this one
Four sector boards nobody else bundles, one schema, deduplicated. country and source on every
row to filter or split. No connection, no login required from you.
Good to know
- Apecita's description is the only place that sometimes names the real employer. Apecita (the
association) is itself listed as
companyNameon some postings; this Actor falls back to a name found in the description's own "Entreprise :" line before giving up and markingconfidentialCompany: true. - Vitijob has no native search filter. Its own
robots.txtbans every search query string (?keyword,?zonegeo,?contrat,?domaine...), sokeywords,location,remoteandpublishedWithinDaysare all applied client-side on this source, after scanning more pages thanmaxItemsalone would need. - No CV or candidate-profile pages, ever. Vitijob also publishes individual CVs; this Actor only ever opens job-posting pages and defensively rejects anything that looks like a CV or candidate-profile URL.
- Salary is best-effort. Only Vitijob and a fraction of Apecita postings publish a figure; WineBusiness and Wine Industry Jobs rarely do. A missing number beats a wrong one.
- No personal data. Recruiter e-mails, phone numbers and named contacts are stripped from every description before saving, on all four sources.
- This is an unofficial tool, not affiliated with Apecita, WineBusiness, Wine Industry Jobs or Vitijob. Check each site's terms and the data protection rules that apply to your use.
Run it from your code
JavaScript:
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: process.env.APIFY_TOKEN });const run = await client.actor('bibian/wine-agriculture-jobs-scraper').call({countries: ['FR', 'US', 'AU'],keywords: 'cellar',maxItems: 50,});const { items } = await client.dataset(run.defaultDatasetId).listItems();
Python:
from apify_client import ApifyClientclient = ApifyClient(token="<APIFY_TOKEN>")run = client.actor("bibian/wine-agriculture-jobs-scraper").call(run_input={"countries": ["FR", "US", "AU"],"keywords": "cellar","maxItems": 50})items = client.dataset(run["defaultDatasetId"]).list_items().items
Monitor new postings daily and connect your tools
- Schedule it. Save a task, pick your countries and keywords, and schedule it daily with Apify Schedules. Tick Only new results and each run returns, and charges, only the postings earlier runs of the same search did not deliver.
- Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint.
- Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
Frequently asked questions
Do I need a browser or a proxy? No — all four sources are plain server-rendered pages, read directly without a browser or proxy.
Which countries are covered? France (Apecita, Vitijob), the United States (WineBusiness) and Australia (Wine Industry Jobs).
Can I get only new postings each day? Yes: set publishedWithinDays to 1, tick onlyNew,
and schedule the Actor daily.
Is it legal to scrape? The Actor collects publicly visible postings and follows each site's robots.txt rules, and never opens a CV or candidate-profile page. How you use the data is your responsibility: check the sites' terms and the laws that apply to you.
More job scrapers by the same author
- Europe Jobs Scraper (12 boards, 7 countries)
- North America Jobs Scraper (6 boards)
- Latin America Jobs Scraper (4 networks, 18 countries)
Who uses it
- Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
- Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
- B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
- Labour-market research: salaries, skills in demand, remote share and hiring volume over time.
Pricing
Pay per result: $3.00 per 1,000 postings, plus $0.01 per run start with the default 4 GB of memory. For example, 100 postings cost about $0.31. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.
Run it from your code
JavaScript:
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: process.env.APIFY_TOKEN });const run = await client.actor('bibian/wine-agriculture-jobs-scraper').call({maxItems: 50,});const { items } = await client.dataset(run.defaultDatasetId).listItems();
Python:
from apify_client import ApifyClientclient = ApifyClient(token="<APIFY_TOKEN>")run = client.actor("bibian/wine-agriculture-jobs-scraper").call(run_input={"maxItems": 50})items = client.dataset(run["defaultDatasetId"]).list_items().items
Monitor new postings daily and connect your tools
- Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the
idfield if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver. - Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
- Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
- Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.
Frequently asked questions
Do I need an account, cookies or a proxy for Wine & Agriculture? No. The actor reads publicly visible pages only.
Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.
Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.
Need another site, a missing field or a new filter? Open an issue in the Issues tab and say what you need, with an example URL if you have one. Requests are read, and the most asked ones are built next.
Need a custom version built for you? I also build private versions and custom scrapers: another site, extra fields, a specific output format, or delivery straight to Google Sheets, a database or a webhook. Open an issue in the Issues tab with what you need and an example URL, and I will reply there with a quote.
Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.
Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.