Doctolib Email Scraper
Pricing
from $1.49 / 1,000 results
Doctolib Email Scraper
Doctolib Email Scraper gathers healthcare practitioner contact emails from Doctolib profiles by keyword and location, supporting medical B2B outreach across Europe.
Pricing
from $1.49 / 1,000 results
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Email Scraper
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🔍 Doctolib Email Scraper – Overview
Looking for email addresses on Doctolib? The Doctolib Email Scraper searches public Doctolib pages for the keywords you choose and saves every email address it finds, along with the title, description and link of the page. It is a fast Doctolib email finder for B2B lead generation, sales, recruiting and outreach, and the Doctolib Email Scraper needs no coding.
Doctolib is a French healthcare appointment platform, which makes it a useful place to look for French doctors, dentists and practitioners. With the Doctolib Email Scraper there is nothing to install and no Doctolib account to connect: start a run, wait for the dataset to fill, then export your email list as JSON, CSV or Excel. 📥 It works as an email finder and an email extractor in one.
✨ Doctolib Email Scraper at a glance
- Platform: Doctolib (doctolib.fr)
- What you get: public email addresses of French doctors, dentists and practitioners
- How you search: keywords, locations and email domains
- Data: email, page title, description, link and lead details
- Best for: B2B lead generation, prospecting and outreach
- Export: JSON, CSV, Excel or the Apify API
Whether you run the Doctolib Email Scraper once for a quick list or on a schedule for ongoing Doctolib lead generation, the settings stay the same, so results from different runs are easy to compare.
⭐ Doctolib Email Scraper – Key Features
The Doctolib Email Scraper is built for fast, repeatable Doctolib lead generation:
- All-in-one email finder – the Doctolib Email Scraper locates Doctolib pages for your keywords and extracts the email addresses shown there, so the Doctolib Email Scraper is both an email finder and an email extractor for Doctolib.
- Doctolib keyword search – run several keywords in one go, such as "médecin" and "dentiste", and collect contact data for each.
- Location targeting – narrow results to a country, state or city, or add a list of extra locations that are each searched on their own.
- Email domain control – look for @gmail.com, @yahoo.com, @outlook.com or your own suffixes, accept any address, or keep business emails only.
- Must-include and exclude words – keep only results that mention the words you need and skip snippets with words you do not want.
- Limits that protect your budget – cap the emails per search combination and set one total limit for the whole run.
- Parallel searches – the Doctolib Email Scraper can run up to 10 Doctolib searches at the same time to finish long keyword lists sooner.
- Duplicate-free results – an email found by several searches is saved only once, so your email list stays clean.
- Do-not-contact list – keep opted-out addresses and existing contacts out of your dataset.
- Lead history – skip emails you already collected in earlier runs, so you only get new leads.
- Optional extras – add phone numbers shown in the result text and check email domains before saving.
- Resumable runs – an interrupted Doctolib Email Scraper run continues from its saved progress instead of starting over.
- Only Doctolib results – results from other websites are dropped, so every row links to a page on Doctolib.
- Ready for your tools – send leads to a CRM, spreadsheet or automation through Apify integrations and webhooks.
📊 Doctolib Email Scraper – What Data You Can Extract
The Doctolib Email Scraper saves one row of Doctolib contact data for every unique email address:
| Field | What it contains |
|---|---|
network | Source label, Doctolib.com |
keyword | The keyword that produced the result |
title | Title of the result |
description | Result text in which the email appeared |
url | Link to the page |
email | The email address |
location | Location used for the search, or null |
emailType | free for webmail providers, business for other domains |
username | Handle or first path segment of the Doctolib link, when it can be read |
followersCount | Follower count if the result text shows one, otherwise null |
influencerTier | Under 1K, Nano, Micro, Macro or Mega, from the follower count; null if unknown |
emailStatus | Only with email verification: valid or unverified |
phoneNumbers | Only with phone extraction: numbers found in the result text |
💡 Good to know: the Doctolib Email Scraper reads the public text shown for each Doctolib result. Only email addresses that are visible there can be found, so results depend on what Doctolib users publish.
🚀 Doctolib Email Scraper – How to Use It
Getting your first Doctolib email list with the Doctolib Email Scraper takes only a few minutes:
- Step 1 – Open the Actor: open the Doctolib Email Scraper in Apify Store and click Start.
- Step 2 – Add keywords: enter one or more Doctolib search terms, for example "médecin".
- Step 3 – Set a location (optional): type a country or city such as Lyon, or leave the field empty.
- Step 4 – Choose email types: keep @gmail.com or add other suffixes, or switch the email mode to any address or business emails only.
- Step 5 – Set limits: decide how many emails each combination may collect and, if you like, a total for the run.
- Step 6 – Run and export: start the Doctolib Email Scraper, follow the dataset as it fills, then download JSON, CSV or Excel.
🎯 How to Extract Doctolib Emails by Keyword and Location
Every Doctolib keyword is combined with every location and every email suffix, and each combination is its own search with its own email target. Two keywords, three locations and two suffixes make 12 searches. With the Doctolib Email Scraper, use the total limit to keep large Doctolib runs predictable, and use the extra locations list to cover many cities, for example Lyon, in a single run. A search for "médecin" in Lyon is one combination, and "dentiste" in Lyon is another.
🧭 Can You Filter Doctolib Email Scraper Results by Email Domain?
Yes. The email mode setting of the Doctolib Email Scraper has three options:
- Only the domains listed – the default; finds exactly the suffixes you enter, such as @gmail.com.
- Any email address – accepts every address found in Doctolib result text, whatever the domain.
- Business emails only – accepts any address except free webmail providers like Gmail, Yahoo or Outlook, which suits B2B outreach on Doctolib.
The two broad modes find addresses a fixed list would miss, but expect fewer results per search and some noise.
💼 Doctolib Email Scraper – Use Cases
Teams use the Doctolib Email Scraper for:
- Healthcare lead lists – a ready email list of French doctors, dentists and practitioners that you can contact right away.
- Pitching practice software – search "médecin" in Lyon or any other place and compare the Doctolib results by location.
- Medical supplier outreach – export the contact data to your CRM, spreadsheet or B2B outreach tool.
- Market research – schedule the Doctolib Email Scraper to keep your Doctolib lead generation running.
Because the Doctolib Email Scraper returns structured data, it fits manual research as well as automated lead generation and outreach pipelines.
⚙️ Doctolib Email Scraper – Input
The Doctolib Email Scraper accepts the fields below. Only keywords is required; every other field has a default.
| Field | Type | Default | What it does |
|---|---|---|---|
keywords | list | ["médecin", "dentiste"] | Keywords to look for, one per line. Each keyword runs on its own. |
location | text | empty | Optional country, state or city added to every search. |
locations | list | [] | Extra places, each searched separately with the same keywords. |
emailSearchMode | text | domainList | Which emails to look for: your domain list, any address, or business emails only. |
customDomains | list | ["@gmail.com"] | Email suffixes to look for, such as @gmail.com or @yahoo.com. |
maxEmails | number | 5 | Emails per search combination (keyword + location + domain). Free accounts: 100 at most. |
maxTotalEmails | number | 0 | Hard stop for the whole run. 0 means no total limit. |
maxConcurrentSearches | number | 5 | How many searches run at the same time (1 to 10). |
minFollowers | number | 0 | Keep only results showing at least this many followers. 0 switches it off. Mostly useful on social profiles. |
maxFollowers | number | 0 | Keep only results showing at most this many followers. 0 switches it off. Mostly useful on social profiles. |
profilesOnly | true/false | false | Keep only results whose link looks like a single profile page. Mostly useful on social profiles. |
includeWords | list | [] | A result is kept only if it contains at least one of these words. |
excludeWords | list | [] | Results containing any of these words are skipped. |
extractPhoneNumbers | true/false | false | Also return phone numbers written in the result text. |
verifyEmails | true/false | false | Check format, placeholders and mail servers before saving an address. |
skipPreviouslyFoundEmails | true/false | false | Skip addresses saved by earlier runs under the same history name. |
historyStoreName | text | doctolib-email-history | Name of the saved history (lowercase letters, numbers, hyphens). |
excludeEmails | list | [] | Addresses or @domains that must never appear in the results. |
🧪 Example input
{"keywords": ["médecin", "dentiste"],"location": "Lyon","emailSearchMode": "domainList","customDomains": ["@gmail.com", "@yahoo.com"],"maxEmails": 20,"maxTotalEmails": 100,"maxConcurrentSearches": 5,"excludeWords": ["spam"]}
📦 Doctolib Email Scraper – Output
Results are written to the run's dataset as they are found, so you can watch the list grow. Each item contains the fields described above. A short run summary (unique emails, skipped results by reason, searches finished) is also stored with the run.
🧾 Example output
[{"network": "Doctolib.com","keyword": "médecin","title": "Médecin in Lyon | Doctolib","description": "Example listing for médecin in Lyon. Contact: sample.contact@gmail.com","url": "https://doctolib.fr/sample_mdecin","email": "sample.contact@gmail.com","location": "Lyon","emailType": "free","username": "sample_mdecin","followersCount": null,"influencerTier": null},{"network": "Doctolib.com","keyword": "dentiste","title": "Second example result | Doctolib","description": "Another example description with sample.team@yahoo.com in the text.","url": "https://doctolib.fr/sample_mdecin_2","email": "sample.team@yahoo.com","location": "Lyon","emailType": "free","username": "sample_mdecin_2","followersCount": null,"influencerTier": null}]
The data above is example data that shows the structure of Doctolib results.
💰 Doctolib Email Scraper – Pricing
The Doctolib Email Scraper uses Apify's pay-per-result model: you pay for the Doctolib emails that are saved to your dataset. Duplicates, addresses removed by your filters and addresses that fail verification are not saved or charged.
- Keep costs predictable: set
maxEmails,maxTotalEmailsand the maximum cost of the run. - Free Apify plans: up to 100 emails per search combination.
- Current rates: see the pricing information on the Actor page.
✅ Doctolib Email Scraper – Tips and Best Practices
Get more from the Doctolib Email Scraper with these habits:
- Use several specific keywords – instead of only one broad term, try close variations such as "médecin" and "dentiste".
- Start small – run the Doctolib Email Scraper with a low
maxEmailsfirst, check the results, then scale up. - Loosen the search if results are sparse – add more email suffixes, more keywords or clear the location.
- Use include and exclude words – they keep the email list relevant and remove noise.
- Raise parallel searches – 5 to 10 searches at once finish long runs sooner.
- Use lead history for repeat runs – switch on skipping of earlier emails so each run returns new leads only and your outreach never repeats.
- Respect privacy rules – use the contact data responsibly and follow the laws and platform terms that apply to your outreach.
❓ Doctolib Email Scraper – Frequently Asked Questions
💬 What is the Doctolib Email Scraper?
It is an Apify Actor and email finder that extracts public email addresses from Doctolib based on your keywords and saves them as structured data, ready for outreach.
💬 Who is the Doctolib Email Scraper for?
It is for anyone who needs contact data for French doctors, dentists and practitioners: sales teams, recruiters, agencies and researchers. Typical goals are healthcare lead lists and pitching practice software.
💬 How does the Doctolib Email Scraper find emails on Doctolib?
It searches public results for Doctolib pages with each keyword and reads the email addresses shown in the result title and description. Results from other websites are skipped.
💬 Do I need to log in to Doctolib to use the Doctolib Email Scraper?
No. The Doctolib Email Scraper works without any Doctolib login or account.
💬 Can I extract Doctolib emails for a specific city or country?
Yes. Use the location field for one place or the locations list for several, for example Lyon. Each location is searched separately.
💬 What data does the Doctolib Email Scraper return?
Each row has the email address, the keyword, the page title, description and link, the location, the email type and optional follower, phone and verification fields.
💬 Can the Doctolib Email Scraper get phone numbers from Doctolib as well?
Yes, optionally. Switch on phone extraction and the Doctolib Email Scraper adds the numbers written in the result text to the phoneNumbers field.
💬 Why did my Doctolib run return fewer emails than expected?
The Doctolib Email Scraper can only find addresses that are publicly shown for Doctolib results. Try more keywords, more email suffixes, a broader location or the any-address mode.
💬 How do I export Doctolib emails to CSV or Excel?
Open the run's dataset and choose CSV, Excel or JSON, or fetch the email list through the Apify API.
💬 Is the Doctolib Email Scraper an email finder or an email extractor?
Both. The Doctolib Email Scraper finds Doctolib pages for your keywords and extracts the email addresses shown there, so it works as an email finder and an email extractor for Doctolib.
🤝 Support
Questions, ideas or a custom scraper for Doctolib? The Doctolib Email Scraper is actively maintained, so get in touch:
- contact me by email : alphascraper69@gmail.com