# Energieeffizienz-Experten - German Energy Adviser Leads (`scrapersdelight/energie-effizienz-experten-scraper`) Actor
From $0.90 per 1,000 experts, no start fee. Germany's official dena Energieeffizienz-Expertenliste: name, email (95% filled, measured), phone, firm, full address and the per-expert BAFA/KfW/BEG accreditation matrix. Search by postcode and radius across all three lanes, filter by funding programme.
- **URL**: https://apify.com/scrapersdelight/energie-effizienz-experten-scraper.md
- **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community)
- **Categories:** Lead generation, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$0.90 / 1,000 per expert row returneds
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event
## What's an Apify Actor?
An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.
For examples already wired to this Actor's own input schema, see the [API](#api) section below.
Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
# README
## 🇩🇪 Energieeffizienz-Experten — German Energy Adviser Leads
**Germany's official register of the experts who sign off federal energy-efficiency subsidies —
with the email address.**
The *Energieeffizienz-Expertenliste für Förderprogramme des Bundes*, run by the **dena** (Deutsche
Energie-Agentur) for the federal economics ministry, is the gate every German subsidy goes through.
A homeowner cannot claim a BAFA Energieberatung, a KfW Effizienzhaus loan or a BEG EinzelmaĂźnahme
grant unless a **listed expert** signs it off. So this register is, in practice, the national list of
the people who decide which heat pump, which insulation system and which window goes into a
subsidised German renovation.
This Actor turns it into a lead list — one row per expert, with the contact details **and** the full
matrix of which funding programmes that expert is actually accredited for.
***
### đź“Š The numbers, measured on 2026-09-16
Every figure below was counted against the live site on the day this Actor was built, from **213
records captured across 8 regions, all three register lanes, and pages ranging from the first to
page 401 of 676**. Nothing here is an estimate, and the offline validator recounts all of it on
every run.
#### Field fill — counted over 179 distinct experts
| Field | Fill | | Field | Fill |
|---|---|---|---|---|
| `name` | **100.0%** | | `email` | **95.0%** |
| `street` | **100.0%** | | `phone` | **87.7%** |
| `postalCode` | **100.0%** | | `website` | 65.4% |
| `city` | **100.0%** | | `organisation` (firm) | 83.8% |
| `accreditedProgrammes` | **100.0%** | | `education` | 98.3% |
| `programmes` (full matrix) | **100.0%** | | `businessTypes` | 86.0% |
| **email or phone** | **97.2%** | | `selfDescription` | 50.3% |
"Filled" excludes `""`, `null`, `"N/A"` and `"-"`. 213 parsed rows collapsed to 179 distinct experts,
so 34 of them were returned by more than one of the searches — deduplication is on by default and a
dropped duplicate is never charged.
#### How big each search is
| Search (from 10115 Berlin, 250 km) | Experts | Pages |
|---|---|---|
| Wohngebäude (residential) | **3,467** | 232 |
| Nichtwohngebäude (companies + municipalities) | **1,556** | 104 |
| Anlagen und Prozesse (industry) | **537** | 36 |
Other regions, residential lane, 250 km: Stuttgart **10,131** · Köln 9,002 · München 6,687 ·
Hamburg 5,127 · Leipzig 4,916 · Dresden 2,908. Radius matters more than anything else: around
10115 Berlin, 5 km = 228 experts, 20 km = 774, 250 km = 3,467.
***
### 🎯 What makes a row here different from Google Maps
Maps can tell you a German engineering office exists. It cannot tell you **that this person may sign
a KfW Effizienzhaus application but not a KFN new-build one.** This register can, because it
publishes a per-expert checkbox matrix, and this Actor reads every box — ticked *and* unticked:
```json
"accreditedProgrammes": [
"Energieberatung für Wohngebäude",
"Effizienzhaus (KfW)",
"EinzelmaĂźnahmen",
"Wärmedämmung",
"Denkmal und besonders erhaltenswerte Bausubstanz",
"Klimafreundlicher Neubau (KFN) und Wohneigentum fĂĽr Familien (WEF)"
],
"programmes": [
{ "scope": "residential", "category": "Energieberatung",
"programme": "bafa", "label": "Energieberatung für Wohngebäude", "accredited": true },
{ "scope": "residential", "category": "Sanierung",
"subCategory": "Bundesförderung für effiziente Gebäude: Wohngebäude",
"programme": "kfw-single", "label": "EinzelmaĂźnahmen", "accredited": true },
{ "scope": "residential", "measureOf": "kfw-single",
"label": "Heizung", "accredited": false }
]
```
An unticked box is recorded as `"accredited": false`, not dropped — so "who is accredited for
**Heizung** but not yet doing KFN new-builds" is a query you can actually run on the export. The
matrix runs from **7 to 29 programme rows per expert, 15 on average**.
`servesResidential` / `servesNonResidential` / `servesIndustry` summarise the same thing as three
booleans. In the captured sample, 42.5% of residential-lane experts also hold non-residential
accreditations and 17.3% hold industrial ones.
**Who buys this:** heat-pump and insulation brands recruiting Fachpartner (Viessmann, Vaillant,
Stiebel Eltron, Bosch), Energieberater software vendors (Hottgenroth, ZUB, EVEBI), renovation lead
networks, and anyone selling into the German BEG subsidy chain.
***
### 📧 The email column is the whole product, and it is a trap
dena hides the addresses. Not by splitting them across tags — **the "@" is not a character at all.**
It is an `
` inside a ``, so the raw text of an email
block reads:
```
roland.orgel ro-ingenieure.de
```
Any scraper that takes the element's text and runs an email regex over it finds **zero addresses on
a page where 95% of the records publish one**, reports SUCCESS, and hands you a contact list with no
contacts. This Actor puts the "@" back before the tags are stripped, and then checks itself:
- **202** of the 213 captured records publish an email block; **201** reconstructed into a valid
address (**99.5%**).
- The 1 that did not (`ebfe.ebfe@info`) is malformed **on dena's own site** — no TLD. It is returned
as `null` rather than shipped, because a broken address in your CRM is worse than an empty field.
- If dena ever changes that markup, the run **fails** rather than delivering a silently blank email
column. `RUN_SUMMARY.emailReconstruction` carries the counts on every run.
- 169 of the 170 addresses in the sample are distinct, so these are per-expert mailboxes, not one
chamber-of-commerce inbox repeated.
***
### ⚙️ What you control
| Input | What it does |
|---|---|
| **Register lane** | residential / non-residential / industry. Three separate searches, run in turn. |
| **Postcodes or place names** | `"10115"` or `"Berlin"` — the site's own box takes both (verified: "Berlin" / 20 km → 778 experts). |
| **Radius** | 5, 10, 20, 50, 100 or 250 km. These six are the only values the site offers; anything else is refused before a request is made. |
| **Funding programme** | The register's own checkboxes (BAFA, KfW Effizienzhaus, Denkmal, KFN, QNG, DIN 18599, DIN 16247 …). Measured: no filter 3,467 → `bafa` 3,024 → `kfn_wg` 3,173 → both 2,788, i.e. they combine as **AND**. |
| **Single measures** | Wärmedämmung / Fenster und Türen / **Heizung** / Lüftung — the heat-pump filter. Residential lane only. |
| **Surname or firm** | "Müller" within 250 km of Berlin → 39 of 3,467. |
| **requireEmail / requirePhone / requireContact** | Filter *before* delivery, so an excluded row is never charged. |
| **Deduplicate** | On by default. Overlapping radii are matched on name + postcode + street + firm. |
| **Include the full matrix** | Turn off for a slim CRM-sized row that keeps only the ticked labels. |
| **maxExperts** | Hard cap on rows delivered *and therefore charged*. |
***
### đź’¸ Pricing
**$0.90 per 1,000 experts** ($0.0009 per row). **No run-start fee.** You are charged once per row
delivered to your dataset, and:
- duplicates from overlapping radii are dropped **before** delivery and never charged,
- rows excluded by your email/phone filters are never charged,
- a search that matches nobody costs **nothing** — no start fee means a zero-result run is free,
- a run that fails mid-way has charged only for the rows already in your dataset, and `RUN_SUMMARY`
says exactly how many that was.
For comparison, German business-directory scrapers on this Store that sell a plain listing row
charge $0.001–$0.004. Nobody else scrapes this register.
***
### ⏱️ Speed, and the throttle we measured
The register throttles **by IP**, and it does it politely:
> 10 result-page requests inside ~51 seconds, then **HTTP 429** with an honest **`Retry-After: 60`**.
> Proven IP-scoped, not session-scoped: a brand-new session on the same IP was throttled too.
> Honouring the header recovered cleanly on the first try.
There is no CAPTCHA, no ban, no escalation — and the 429 body is 1.5 MB of ordinary TYPO3 HTML, so a
scraper that only looks at the response size sees a fat, healthy-looking page. This Actor sends every
request on a **fresh Apify proxy session**, i.e. a different IP, so the per-IP budget is not the
ceiling. With no proxy configured at all it paces itself to 8 page requests per minute instead and
says so in the log.
- 15 experts per page. Each page is **287–395 KB** and takes **3.7–7.1 s**.
- At the default 3 parallel requests that is roughly **675 experts a minute**.
- Verified 2026-09-16 that the site answers HTTP 200 through Apify **RESIDENTIAL**, through the
datacenter pool and through BUYPROXIES94952 alike. RESIDENTIAL/DE is the default because the pages
are ~300 KB — the size at which a datacenter proxy starts truncating a body mid-stream while still
returning HTTP 200 — and because a throttle scoped to the IP wants the larger pool.
***
### 🧯 Honest limits — read these before you buy
1. **There is no nationwide search.** 250 km is the largest radius the site offers, and an **empty
location makes it answer HTTP 200 with its 141,923-byte homepage** and no results at all. National
coverage means tiling postcodes and deduplicating the overlap. This Actor refuses an empty
location up front rather than charging you for a search it never ran.
2. **We do not know the national de-duplicated total, and will not guess it.** The largest single
query observed is 10,131 (Stuttgart, 250 km, residential). Regional tiles overlap heavily — 34 of
213 captured rows were duplicates — so the national unique figure is well below the sum of the
tiles and has not been measured.
3. **The register publishes no expert ID.** No profile URL, no numeric id, no data attribute —
checked across all 318 captured records. Rows are deduplicated on **name + postcode + street +
firm**. Two genuinely different people with the same name at the same address would merge; an
expert who moves office will look like a new row in a later run.
4. **The three lanes are three corpora, not three views.** A record found through the residential
search still carries its full accreditation matrix for all three scopes — but only the lane you
search decides *which* experts come back. Run all three if you want the union.
5. **`selfDescription` is only on half the rows** (50.3%), and dena states plainly that it does not
verify it: *"Diese Selbstangaben werden von der dena nicht ĂĽberprĂĽft."*
6. **Fields that do not exist here, and are therefore not advertised:** no expert ID, no
registration or listing date, no rating or review, no company register (Handelsregister) number,
no VAT ID, no coordinates, no distance-from-centre value, no photo. The site does not publish any
of them on the result page, so this Actor does not pretend to.
7. **`robots.txt`.** Quoted verbatim, as fetched on 2026-09-16:
```
User-agent: *
Disallow: /typo3/
Disallow: /fileadmin/
Disallow: /uploads/
Disallow: /index.php
Disallow: /?id=
Disallow: /fuer-private-bauherren/finden-sie-experten-in-ihrer-naehe/
Disallow: /login
Disallow: /aussteller/suche-experten
Disallow: /profil-anlegen
```
The **residential** lane's results path is on that list. The non-residential
(`/fuer-unternehmen-und-kommunen/…`) and industry (`/anlagen-prozesse/…`) paths are not.
AhrefsBot, SemrushBot and MJ12bot are disallowed site-wide. Decide for yourself what that means
for your use of the data.
8. **This is personal data about named individuals** — many of these experts are sole traders
(20.5% of the captured addresses are free-mail: gmx, web.de, t-online, gmail). GDPR applies.
Germany's UWG also restricts unsolicited commercial email to businesses. Use it for recruiting
partners and for research, and honour opt-outs.
***
### 📤 Output
One row per expert:
```json
{
"name": "Dipl.-Ing. (FH) Hanna Full",
"organisation": null,
"email": "kontakt@hannafull.de",
"phone": "015237060357",
"website": "https://www.hannafull.de",
"street": "SchwartzkopffstraĂźe 8",
"postalCode": "10115",
"city": "Berlin",
"addressFull": "SchwartzkopffstraĂźe 8, 10115 Berlin",
"education": ["Technisches/ naturwissenschaftliches Studium"],
"businessTypes": ["sonstige Branche"],
"selfDescription": "Hanna Full ist Ingenieurin im Bereich erneuerbare Energien …",
"servesResidential": true,
"servesNonResidential": false,
"servesIndustry": false,
"accreditedCount": 6,
"accreditedProgrammes": ["Energieberatung für Wohngebäude", "Einzelmaßnahmen", "Wärmedämmung",
"Fenster und TĂĽren", "Heizung", "LĂĽftung"],
"programmes": [ "…the full ticked/unticked matrix…" ],
"foundViaLane": "residential",
"searchLocation": "10115",
"searchRadiusKm": 5,
"resultPage": 1,
"resultRank": 2,
"sourceUrl": "https://www.energie-effizienz-experten.de/…",
"scrapedAt": "2026-09-16T…"
}
```
Umlauts and ß survive end to end (`Schwartzkopffstraße`, `Wohngebäude`) — the transfer is checked
for completeness before a single record is read from it.
**`RUN_SUMMARY`** (key-value store) reconciles the run: what each search said was there versus what
was read, rows delivered (== rows charged), duplicates dropped, rows excluded by your filters,
**field fill counted on the rows this run actually delivered**, how many email blocks reconstructed,
and every non-200 that was retried.
***
### 🛡️ What this Actor refuses to do
- **Report a partial region as a complete one.** If a search says 3,467 experts and the walk reads
materially fewer without hitting your cap, the run **fails**.
- **Treat a non-200 as the end of the data.** It is a transport failure; it is retried on a fresh IP,
and if it still fails the run fails and tells you how many rows were already charged.
- **Parse a body that did not arrive whole.** Pages are fetched uncompressed on purpose so the
declared `Content-Length` can be checked against what arrived, and a page missing its closing
`