Use case
Vilnius Law Firms List with Phone Numbers (Lithuania)
Every law firm (Advokatai) listed on info.lt in Vilnius, with phone, street address, coordinates and website where shown.
Say you sell case-management software to small law practices, and next month your team wants to phone every law firm (advokatų kontora) in Vilnius. You need the firm’s name, a phone number and a street address so the call can be routed by district. The info.lt business directory files them under one category, Advokatai, which on 2026-10-25 held 729 listings across Lithuania.
The manual way, and what it costs
info.lt is free and fine for finding one firm. For a list, it shows 20 companies per page, so the Advokatai category is about 37 pages, and Vilnius is one city among many in it. Phone and street are on each card, so the copying is simple, just long: 266 Vilnius firms is about 14 pages of cards into a sheet, by hand. If you need ten firms in one district, do it by hand. For the whole city, the copying is the job.
The faster way
Lithuania Business Directory List Scraper (Phone & Address) does the same search once and hands back every row at once.
{
"categories": [
"Advokatai"
],
"city": "Vilnius",
"maxResults": 500
}
Advokatai is info.lt’s own name for the law-firm category. city: "Vilnius" keeps the firms whose card gives Vilnius as the city. info.lt treats a district municipality as its own place (the data has “Kauno r.” beside “Kaunas”), so if you want the ring around the city as well, add its district to a cities list. maxResults: 500 is headroom: on the 2026-10-25 data this returned 266 firms.
What comes back
{
"name": "Algrima, Vilniaus filialas, UAB",
"phone": "(0 5) 2754080",
"phone_e164": "+37052754080",
"street": "Panerių g. 39",
"city": "Vilnius",
"postal_code": "03209",
"website": "https://algrima.lt/",
"lat": 54.66932,
"lng": 25.26788,
"country": "LT",
"category": "Darbo sauga",
"categories": [
"Darbo sauga",
"Avalynė",
"Reklama, dizainas"
],
"listing_id": "2033942",
"source": "snapshot",
"source_url": "https://www.info.lt/imones/Algrima-Vilniaus-filialas-UAB/2033942"
}
| Field | Example value | Meaning |
|---|---|---|
name | Algrima, Vilniaus filialas, UAB | Company name as listed |
phone | (0 5) 2754080 | Phone number as shown on the card |
phone_e164 | +37052754080 | The same number in international format (+370…) |
street | Panerių g. 39 | Street and number |
city | Vilnius | City or district municipality (e.g. Vilnius, Kauno r.) |
postal_code | 03209 | Postcode, when the address carries one (rare) |
For a calling list, phone closes the loop: all of the first 50 firms had one, and phone_e164 gives the +370 form your dialler wants. street was on 49 of those 50 and lat/lng on 48, which is enough to split the list by district before the calls start. website was on 4.
What you’d do with it
Export the dataset to CSV, group by street or plot the coordinates to split Vilnius between callers, and load it into the CRM you already use. The run cost $1.06 (266 listings at $0.004), so re-running it next quarter and diffing listing_id against your sheet is a cheap way to catch firms that opened since.
Worth knowing
There is no email on any row: info.lt keeps it behind a click on purpose, and the actor does not decode it, so this is a phone list. The data is a stored copy of info.lt, so it can be weeks old, and the run log states its date. Postcode is present only where the address carries one, which is rare. A firm also filed under another category you asked for comes back once.
Run it yourself: How to run Lithuania Business Directory List Scraper (Phone & Address) walks the whole thing step by step.
For the firms whose card gives a website, Business Email, Phone & Contact Details Scraper visits it and pulls the emails the firm publishes.
Last updated 2026-10-25