Dataify Google Maps#

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill for explicit Google Maps searches that need map coordinates, zoom, or map pagination. Use Google Local for local-pack keyword lists, Map Details for a known Place ID, and Maps Reviews for reviews.

Use this skill to turn a user's Google Maps request into a Dataify Scraper API form submission.

Workflow#

1. Parse the user's request into Google Maps fields. Set engine to the fixed value google_maps.

2. Apply documented defaults from parameter descriptions when the user does not specify a value. For this API, documented defaults are:

   • engine: google_maps
   • json: 1
   • google_domain: google.com
   • start: 0
   • no_cache: false

Treat every other field as having no default unless the user supplies it. Never treat examples such as United States, en, us, @40.7455096,-74.0083012,14z, or true as defaults.

Use this exact table shape, including every body field:

text

请确认是否要修改参数；你确认后我再调用接口。

| 参数名 | 当前值 | 默认值 | 说明 |
|---|---|---|---|
| `engine` | `google_maps` | `google_maps` | 固定引擎值。 |
| `q` | `<从用户需求解析出的值；无值则询问>` | 无 | Google Maps 搜索关键词。 |
| `json` | `<用户指定值或 1>` | `1` | 返回格式：1=JSON，2=JSON+HTML，3=HTML，4=Light JSON。 |
| `ll` | `<用户指定值或空>` | 无 | 完整地图坐标起点，格式为 `@纬度,经度,缩放z` 或 `@纬度,经度,高度m`。不能和 `location`、`lat`、`lon`、`z`、`m` 同用。 |
| `location` | `<用户指定值或空>` | 无 | 文字地点起点；需配合 `z` 或 `m`。不能和 `ll`、`lat`、`lon` 同用。 |
| `lat` | `<用户指定值或空>` | 无 | 搜索起点纬度；必须和 `lon` 成对使用，并配合 `z` 或 `m`。 |
| `lon` | `<用户指定值或空>` | 无 | 搜索起点经度；必须和 `lat` 成对使用，并配合 `z` 或 `m`。 |
| `z` | `<用户指定值或空>` | 无 | 地图缩放级别；不能和 `m` 同用。 |
| `m` | `<用户指定值或空>` | 无 | 地图高度，单位米；不能和 `z` 同用。 |
| `nearby` | `<用户指定值或空>` | 无 | 是否强制返回更接近指定起点的结果；应与 `ll`、`location` 或 `lat`/`lon` 一起使用。 |
| `google_domain` | `<用户指定值或 google.com>` | `google.com` | Google 域名。 |
| `hl` | `<用户指定值或空>` | 无 | Google Maps 搜索语言代码。 |
| `gl` | `<用户指定值或空>` | 无 | Google Maps 搜索国家/地区代码。 |
| `start` | `<用户指定值或 0>` | `0` | 分页偏移量。 |
| `type` | `<用户指定值或空>` | 无 | 搜索类型：`search` 或 `place`。 |
| `data` | `<用户指定值或空>` | 无 | 已废弃的结果过滤参数，优先使用 `place_id` 或 `data_cid`。 |
| `place_id` | `<用户指定值或空>` | 无 | Google Maps 地点唯一 ID。 |
| `data_cid` | `<用户指定值或空>` | 无 | Google Maps CID，不能和 `place_id` 同用。 |
| `no_cache` | `<用户指定值或 false>` | `false` | 是否跳过缓存；`true` 跳过缓存，`false` 使用缓存。 |

1. If the token is missing, stop and tell the user to sign in at Dataify Dashboard to obtain DATAIFY_API_TOKEN.
2. Build request parameters with only requested fields plus documented defaults. The script submits these parameters as form data, not a JSON request body.
3. Run the bundled Python script with python3. Run it from this skill directory, or use the absolute path to scripts/google_maps.py.

bash

python3 scripts/google_maps.py --q "coffee shops near Seattle" --json 1

For many fields, pass one JSON object with shell-appropriate quoting. The script will still submit form data to the API:

bash

python3 scripts/google_maps.py --params-json '{"q":"coffee shops","json":"1","location":"Seattle","z":"14","gl":"us","hl":"en"}'

For natural-language parsing fallback, pass the user's request to --request:

bash

python3 scripts/google_maps.py --request "搜索 Seattle 的咖啡店，返回 JSON，gl=us，hl=en"

Field Mapping#

Use references/google_maps_api.md when you need the exact field list, defaults, constraints, or examples.

Core rules:

• Always submit the API request as form data with Content-Type: application/x-www-form-urlencoded.
• Always force engine to google_maps.
• Keep request values as strings unless the script accepts and normalizes a boolean.
• Omit optional fields that the user did not request, except documented defaults from the parameter descriptions.
• Ask a follow-up only when required q or a required paired parameter cannot be inferred.
• Use ll by itself for a full Google Maps coordinate string such as @lat,lon,14z or @lat,lon,10410m; do not combine it with location, lat, lon, z, or m.
• Use lat and lon together. If only one is available, ask for the missing coordinate.
• Use either z or m, not both. When using location or lat/ lon, include one of z or m if the user supplied a search origin.
• Use nearby only with ll, location, or lat/ lon. For "near me" requests without a location anchor, ask the user for a Maps origin.
• Do not use place_id and data_cid together.
• Prefer place_id or data_cid over the deprecated data field.
• Normalize token values in the script. A token without Bearer is accepted and prefixed automatically.

Common mappings:

• "JSON" -> json: "1"
• "JSON+HTML" -> json: "2"
• "HTML" -> json: "3"
• "Light JSON" -> json: "4"
• Google domain -> google_domain
• country or region for Google behavior -> gl
• interface/search language -> hl
• page number N -> start: String((N - 1) * 20)
• a full Maps coordinate string -> ll
• named search origin -> location
• GPS coordinates -> lat and lon
• zoom level -> z
• map height in meters -> m
• force closer results / "near me" with an origin -> nearby: "true"
• result list search -> type: "search"
• place details -> type: "place" when using data; omit type when using place_id or data_cid unless the user explicitly requests it
• Google Maps place identifier -> place_id
• Google Maps CID -> data_cid
• bypass cache -> no_cache: "true"

Result presentation#

• Return a compact, user-facing result by default: the most relevant titles, links, and vertical-specific fields, plus a count or truncation note when useful.
• Do not expose transport details, fixed engine fields, task plumbing, or the full response envelope in the ordinary flow.
• Return raw JSON or HTML only when the user explicitly requests raw output.
• Preserve source links and distinguish missing fields from empty values; do not invent data.

Quick Start#

bash

python3 scripts/google_maps.py --q "coffee shops near Seattle" --json 1

Parameter interaction policy#

• For a clear, low-risk, read-only, and low-cost request, apply safe defaults and execute immediately. A short execution summary is optional; do not pause for confirmation.
• Ask only for a missing required input, a material ambiguity, a high-volume or multi-page scope, a media download, a choice that materially changes credit usage, an irreversible action, or an explicit user request to review parameters.
• When confirmation is required, show only user-facing values that affect the target, scope, output, or cost. Prefer one concise sentence; use a compact table only when three or more consequential values are easier to compare.
• Never show fixed fields, empty optional fields, unchanged defaults, credentials, or internal implementation parameters such as engine selectors, response-format flags, offsets, spider IDs, and file-name templates.
• Keep advanced filters hidden unless the user asks for them or they are needed to resolve ambiguity. Never substitute documentation example values for missing required user input.
• After returning results, offer relevant refinements instead of forcing all optional decisions before the first result.

Account CTA policy#

• Show a prominent Dataify account CTA only when the API token is missing, rejected/invalid, or the account has insufficient credits.
• For a missing token, offer https://dashboard.dataify.com/login?utm_source=skill and state: New accounts receive 50 free credits. Never ask the user to paste the token into chat.
• Detect the current operating system and shell. Show only the matching session-scoped setup command first ( export for macOS/Linux shells, $env: for Windows PowerShell, or set for Windows Command Prompt). Show other platforms or persistent setup only when detection is ambiguous or the user asks.
• After the user says the token is configured, verify only whether DATAIFY_API_TOKEN is present; never print its value. If verification succeeds, continue the original task without asking the user to repeat it.
• Explain that persistent shell changes may require a new terminal or restarting the agent application. Do not recommend a project .env unless the execution path explicitly loads it, and ensure .env is ignored by version control.
• For an invalid token, direct the user to API-key management without implying that a new registration is required. For insufficient credits, direct the user to balance or recharge management.
• During normal submission, processing, and successful completion, do not promote registration or the Dashboard. Never expose the token or include it in CTA attribution parameters.