yandex-wordstat

Analyze search demand and keyword statistics using Yandex Wordstat API.

Config

Requires YANDEX_WORDSTAT_TOKEN in config/.env . See config/README.md for token setup instructions.

Philosophy

• Skepticism to non-target demand — high numbers don't mean quality traffic

• Creative semantic expansion — think like a customer

• Always clarify region — ask user for target region before analysis

• Show operators in reports — include Wordstat operators for verification

• VERIFY INTENT via web search — always check what people actually want to buy

CRITICAL: Intent Verification

Before marking ANY query as "target", verify intent via WebSearch!

The Problem

Query "каолиновая вата для дымохода" looks relevant for chimney seller, but:

• People search this to BUY COTTON WOOL, not chimneys

• They already HAVE a chimney and need insulation material

• This is NOT a target query for chimney sales!

Verification Process

For every promising query, ASK YOURSELF:

• What does the person want to BUY? (not just "what are they interested in")

• Will they buy OUR product from this search?

• Or are they looking for something adjacent/complementary?

MANDATORY: Use WebSearch

Always run WebSearch to check:

WebSearch: "каолиновая вата для дымохода" что ищут покупатели

Look at search results:

• What products are shown?

• What questions do people ask?

• Is this informational or transactional intent?

Red Flags (likely NOT target)

• Query contains "для [вашего продукта]" — they need ACCESSORY, not your product

• Query about materials/components — they DIY, not buy finished product

• Query has "своими руками", "как сделать" — informational, not buying

• Query about repair/maintenance — they already own it

Examples

Query Looks like Actually Target?

каолиновая вата для дымохода chimney buyer cotton wool buyer ❌ NO

дымоход купить chimney buyer chimney buyer ✅ YES

утепление дымохода chimney buyer insulation DIYer ❌ NO

дымоход сэндвич цена chimney buyer chimney buyer ✅ YES

потерпевший дтп lawyer client news reader ❌ NO

юрист после дтп lawyer client lawyer client ✅ YES

Workflow Update

• Find queries in Wordstat

• WebSearch each promising query to verify intent

• Mark as target ONLY if intent matches the sale

• Report both target AND rejected queries with reasoning

Workflow

STOP! Before any analysis:

ASK user about region and WAIT for answer:

"Для какого региона анализировать спрос?

• Вся Россия (по умолчанию)
• Москва и область
• Конкретный город (какой?)"

НЕ ПРОДОЛЖАЙ пока пользователь не ответит!

ASK about business goal:

"Что именно вы продаёте/рекламируете? Это важно для фильтрации нецелевых запросов."

After getting answers:

• Check connection: bash scripts/quota.sh

• Run analysis using appropriate script

• Verify intent via WebSearch for each promising query

• Present results with target/non-target separation

Scripts

quota.sh

Check API connection.

bash scripts/quota.sh

top_requests.sh

Get top search phrases. Supports up to 2000 results and CSV export.

bash scripts/top_requests.sh
--phrase "юрист дтп"
--regions "213"
--devices "all"

Extended: 500 results exported to CSV

bash scripts/top_requests.sh
--phrase "юрист дтп"
--limit 500
--csv report.csv

Max results with comma separator

bash scripts/top_requests.sh
--phrase "юрист дтп"
--limit 2000
--csv full_report.csv
--sep ","

Param Required Default Values

--phrase

yes

text with operators

--regions

no all comma-separated IDs

--devices

no all all, desktop, phone, tablet

--limit

no API default (50) 1-2000 (maps to API numPhrases)

--csv

no

path to output CSV file

--sep

no ; CSV separator (; for RU Excel)

Result types: Top Requests vs Associations

The output contains two sections (both in stdout and CSV):

• top (topRequests ) — queries that contain the words from your phrase, sorted by frequency. These are direct variations of the search query. Example: phrase "юрист дтп" → "юрист по дтп", "консультация юриста по дтп".

• assoc (associations ) — queries similar by meaning but not necessarily containing the same words, sorted by similarity. These are semantically related searches. Example: phrase "юрист дтп" → "юридическая ответственность", "адвокат аварии".

For analysis: top results are your primary keyword pool. assoc results are useful for semantic expansion but often contain noise — always verify intent before including them.

CSV export details

CSV format: UTF-8 with BOM, columns: n;phrase;impressions;type . When --csv is set, stdout shows first 20 rows per section; full data goes to file.

Working with large CSV exports

When --limit is set to a high value (e.g. 500-2000), use CSV export and read the file in chunks:

Export 2000 results

bash scripts/top_requests.sh --phrase "query" --limit 2000 --csv data.csv

Read first 50 rows (header + data)

head -n 51 data.csv

Read rows 51-100

tail -n +52 data.csv | head -50

Count total rows

wc -l < data.csv

Filter only associations

grep ";assoc$" data.csv

This approach lets the agent process large datasets without flooding stdout.

dynamics.sh

Get search volume trends over time.

bash scripts/dynamics.sh
--phrase "юрист дтп"
--period "monthly"
--from-date "2025-01-01"

Param Required Default Values

--phrase

yes

text

--period

no monthly daily, weekly, monthly

--from-date

yes

YYYY-MM-DD

--to-date

no today YYYY-MM-DD

--regions

no all region IDs

--devices

no all all, desktop, phone, tablet

regions_stats.sh

Get regional distribution.

bash scripts/regions_stats.sh
--phrase "юрист дтп"
--region-type "cities"

Param Required Default Values

--phrase

yes

text

--region-type

no all cities, regions, all

--devices

no all all, desktop, phone, tablet

regions_tree.sh

Show common region IDs.

bash scripts/regions_tree.sh

search_region.sh

Find region ID by name.

bash scripts/search_region.sh --name "Москва"

Wordstat Operators

Quotes "query"

Shows demand ONLY for this exact phrase (no additional words).

"юрист дтп" → "юрист дтп", "юристы дтп" but NOT "юрист по дтп"

Exclamation !word

Fixes exact word form.

!юрист → "юрист по дтп", "юрист москва" but NOT "юристы", "юриста"

Combination "!word !word"

Exact phrase + exact forms.

"!юрист !по !дтп" → only "юрист по дтп"

Minus -word

Exclude queries with this word.

юрист дтп -бесплатно -консультация

Grouping (a|b|c)

Multiple variants in one query.

(юрист|адвокат) дтп → combined demand

Stop words

Always fix prepositions with ! :

юрист !по дтп ← correct юрист по дтп ← "по" ignored!

Analysis Strategy

• Broad query: юрист дтп — see total volume

• Narrow with quotes: "юрист дтп" — exact phrase only

• Fix forms: "!юрист !по !дтп" — exact match

• Clean with minus: юрист дтп -бесплатно -онлайн

• Expand: synonyms, related terms, client problems

Popular Region IDs

Region ID

Россия 225

Москва 213

Москва и область 1

Санкт-Петербург 2

Екатеринбург 54

Новосибирск 65

Казань 43

Run bash scripts/regions_tree.sh for full list.

Limits

• 10 requests/second

• 1000 requests/day

Example Session

User: Найди запросы для рекламы дымоходов

Claude: Для какого региона анализировать спрос? И уточните — вы продаёте готовые дымоходы или материалы для их изготовления/утепления?

User: Москва, продаём готовые сэндвич-дымоходы

Claude: [Запускает анализ для региона 213]

    Нашёл запросы. Проверяю интент через веб-поиск...

    ✅ ЦЕЛЕВЫЕ (покупают дымоходы):
    - "дымоход сэндвич купить" — 450 показов
    - "дымоход для бани цена" — 380 показов

    ❌ НЕ ЦЕЛЕВЫЕ (покупают другое):
    - "каолиновая вата для дымохода" — ищут утеплитель, не дымоход
    - "монтаж дымохода своими руками" — DIY, не покупатели
    - "чистка дымохода" — уже владеют, сервисный запрос

Key Points

• ВСЕГДА спрашивай регион и жди ответа

• ВСЕГДА уточняй что именно продаёт клиент

• ВСЕГДА проверяй интент через WebSearch

• Разделяй отчёт на целевые/нецелевые с объяснением

Расширенные сценарии

Поиск упущенного спроса

Анализ рекламной кампании Яндекс Директ для нахождения фраз, не покрытых текущей семантикой. Требования: XLSX-выгрузка из Яндекс Директ (лист «Тексты»). Подробнее: MISSED_DEMAND.md