yandex-wordstat

name	yandex-wordstat
description	Анализ поискового спроса через Yandex Wordstat API. Используй когда нужно: исследовать спрос, семантическое ядро, частотность запросов, сезонность или региональный спрос. Топ до 2000 запросов, ассоциации, динамика, экспорт CSV.

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

1. Skepticism to non-target demand — high numbers don't mean quality traffic
2. Creative semantic expansion — think like a customer
3. Always clarify region — ask user for target region before analysis
4. Show operators in reports — include Wordstat operators for verification
5. 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:

1. What does the person want to BUY? (not just "what are they interested in")
2. Will they buy OUR product from this search?
3. 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

1. Find queries in Wordstat
2. WebSearch each promising query to verify intent
3. Mark as target ONLY if intent matches the sale
4. Report both target AND rejected queries with reasoning

Workflow

STOP! Before any analysis:

1. 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!

2. ASK about business goal:

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

After getting answers:

3. Check connection: bash scripts/quota.sh
4. Run analysis using appropriate script
5. Verify intent via WebSearch for each promising query
6. 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

1. Broad query: юрист дтп — see total volume
2. Narrow with quotes: "юрист дтп" — exact phrase only
3. Fix forms: "!юрист !по !дтп" — exact match
4. Clean with minus: юрист дтп -бесплатно -онлайн
5. 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

1. ВСЕГДА спрашивай регион и жди ответа
2. ВСЕГДА уточняй что именно продаёт клиент
3. ВСЕГДА проверяй интент через WebSearch
4. Разделяй отчёт на целевые/нецелевые с объяснением