Drhouse Conseillers Scraper
Pricing
$9.00 / 1,000 results
Drhouse Conseillers Scraper
Scraper des conseillers immobiliers Dr House Immo : liste depuis la page conseillers-immobiliers (sans sitemap ni API), puis extraction des détails par profil (nom, localisation, note, avis, réseaux sociaux, téléphone, à propos, barème honoraires).
Pricing
$9.00 / 1,000 results
Rating
0.0
(0)
Developer

Corentin Robert
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
18 days ago
Last modified
Categories
Share
Dr House Immo - Real Estate Advisors Scraper
Extract the full directory of Dr House Immo real estate advisors — names, locations, ratings, reviews, contact URLs, and social links — in minutes. No API, no sitemap: pure HTML scraping. One run gives you 1,500+ advisor profiles ready for CRM, recruitment, or market intelligence.
What does this Actor do?
This Actor scrapes the Dr House Immo advisor directory and extracts structured data from each advisor profile. You get identity (name, city, department, photo), reputation (rating out of 5, review count, full review list), contact (phone action URL, contact modal URL, and optionally the phone number via a follow-up request), social (Facebook, LinkedIn), legal/company (RSAC, barème d’honoraires PDF), and an optional guessed email (firstname.lastname@drhouse-immo.com — to be verified with an email checker). Default input runs the full directory; no configuration required for a complete scrape.
Why use this Actor? Why scrape Dr House Immo?
- Save time — Replace hours of manual copy-paste with one automated run. Refresh the entire directory in minutes.
- Structured data — Get a consistent schema (JSON + optional CSV) ready for CRM, Excel, or outreach tools. Filter by city, department, rating, or review count.
- Scale outreach — Use contact URLs, phone endpoints, and social links to reach advisors at scale. No need to open each profile by hand.
- Platform benefits — Schedule runs, call the Actor via API, integrate with other tools, and re-run whenever the directory changes. Your data stays up to date with minimal effort.
What data can this Actor extract?
| Category | Fields | Description |
|---|---|---|
| Identity | name, location, city, departmentCode, profileUrl, imageUrl | Advisor name, city + department (e.g. Bordeaux (33)), profile URL, photo |
| Reputation | rating, reviewsCount, reviews | Rating (0–5), number of reviews, full list of reviews (author, date, title, body, rating) |
| Contact | phone, phoneActionUrl, contactModalUrl | Phone (fetched via POST), contact form URL |
| Social | facebookUrl, linkedinUrl | Facebook and LinkedIn profile URLs (https normalized) |
| Legal / Company | companyInfo, rsacNumber, rsacCity, baremeHonorairesUrl | Company type, RSAC number and city, link to fee schedule PDF |
| Bio | aboutMe | “À propos de moi” free text |
| Email (bonus) | Guessed email (firstname.lastname@drhouse-immo.com). Supposition only — verify with an email checker. |
The dataset also includes reviews_count and reviews_json in the CSV export.
How to use this Actor to scrape Dr House Immo
- Open the Actor on Apify and use the default input (or set
maxPages,scrapeDetails,maxConcurrency,csvOutputas needed). - Click Start — the Actor crawls the listing pages, then each advisor profile.
- When the run finishes, download the dataset (JSON, CSV, Excel) or use the storage CSV if
csvOutputis enabled. - Use the data in your CRM, outreach tool, or spreadsheets — filter by location, rating, or review count as needed.
No coding required. Defaults are set for a full scrape; change them only for quick tests (e.g. maxPages: 1) or to disable CSV output.
How much does it cost to scrape Dr House Immo?
Runs use Apify consumption pricing (Compute Units + storage). This Actor uses Cheerio only (no browser), so compute cost stays low. A full run (all listing pages + ~1,500 profile pages) typically stays within a few dollars depending on your plan. For quick tests, set maxPages: 1 and optionally scrapeDetails: false to limit cost. Check the Apify pricing page and the run summary after a test for exact numbers.
Input
All input fields are optional. Defaults are tuned for a full directory scrape plus CSV export.
| Parameter | Type | Default | Description |
|---|---|---|---|
| maxPages | integer | 0 | Max listing pages to crawl (0 = all). Use 1 for quick tests. |
| scrapeDetails | boolean | true | If true, crawl each profile for full data; if false, only collect profile URLs. |
| maxConcurrency | integer | 5 | Parallel requests for profile pages (1–20). |
| csvOutput | boolean | true | Write results progressively to storage as CSV. |
The listing URL is fixed: https://www.drhouse-immo.com/conseillers-immobiliers. See the Input tab on the Actor page for the full schema.
Output
You can download the dataset produced by this Actor in JSON, CSV, HTML, or Excel. Each item includes the fields listed in the table above. Example (simplified):
{"profileUrl": "https://www.drhouse-immo.com/conseiller-immobilier/...","name": "Jean Dupont","location": "Bordeaux (33)","city": "Bordeaux","departmentCode": "33","rating": 5,"reviewsCount": 12,"email": "jean.dupont@drhouse-immo.com","phone": "0612345678","facebookUrl": "https://www.facebook.com/...","linkedinUrl": "https://www.linkedin.com/in/...","contactModalUrl": "https://www.drhouse-immo.com/modal/...","aboutMe": "...","companyInfo": "Entreprise individuelle, 123456789 RSAC Bordeaux","rsacNumber": "123456789","rsacCity": "Bordeaux","baremeHonorairesUrl": "https://baremes.drhouse-immo.com/...","reviews": [...]}
If csvOutput is true, a CSV file is also written to storage during the run.
Tips and options
- Quick test:
maxPages: 1,scrapeDetails: true,maxConcurrency: 3— one listing page, full detail extraction. - Production:
maxPages: 0,scrapeDetails: true,maxConcurrency: 5(or higher). KeepcsvOutput: trueif you want a CSV in storage. - Email field: Derived from the advisor name only (firstname.lastname@drhouse-immo.com). Always verify with an email checker before use.
Support and contact
- Issues and feedback: Use the Actor’s Issues tab or the Apify community.
- Contact: corentin@outreacher.fr · LinkedIn
Last updated: February 2026