Pricing

from $3.99 / 1,000 results

Google Maps Extractor with Place ID, CID, Category Codes

Get accurate local business info from Google Maps with this extractor. Ideal for marketers doing competitor research, citation building, or location-based campaign planning. Fetch data in bulk with no manual copy-paste.

Pricing

from $3.99 / 1,000 results

Rating

0.0

(0)

Developer

Scrapio

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

Automation

Lead generation

News

🔎 Business type / search term

keywords

Required

One or more search terms — coffee shops, dentists, hotels, plumbers. Each term × each area is a separate sweep. Default: coffee shops.

Type:array

Default:

[
  "coffee shops"
]

🗺️ Area to sweep

locations

Optional

Cities, districts or regions — New York, Kyoto, Japan, Austin, TX. Each area is geocoded to a bounding box and swept with a grid of map tiles. Default: New York.

Type:array

Default:

[
  "New York"
]

📎 Or start from a Google Maps link

urls

Optional

Optional. Paste /maps/search/<terms>/@lat,lng,zoom or /maps/place/<Name>/@lat,lng,zoom links. A link that carries @lat,lng is used directly; otherwise its search text is geocoded. Links that identify a place only by place_id: are reported in the log — Google's map surface has no place-ID lookup.

Type:array

Default:

[]

🆔 Shape of the identifier output

identifierFormat

Optional

Separate columns puts each identifier in its own spreadsheet column (best for CSV / Excel / Sheets). One bundled object nests them under a single identifiers key, and the deep links under deep_links (best for API consumers). Default: separate columns.

Type:string

Default:columns

Options:

columnsbundled

🧬 Resolve the language-independent category code

resolveCategoryCodes

Optional

Adds gcid_category (e.g. gcid:coffee_shop, gcid:cosmetic_dentist) — the code Google uses internally, identical in every language and country, unlike the primary_category text. Costs one extra request per saved place, so turn it off for very large runs. Default: on.

Type:boolean

Default:true

🔗 Add the five Google deep links

includeDeepLinks

Optional

Adds maps_cid_url, maps_place_url, directions_url, write_review_url and knowledge_graph_url, each templated from the identifiers on the row. No extra requests. Default: on.

Type:boolean

Default:true

🔢 Stop after this many unique places

maxResults

Optional

Total unique places across every term, area and link (duplicate place IDs are merged). Default: 20.

Type:integer

Minimum:1

Maximum:10000

Default:20

📐 Keep only places inside the requested area

restrictToSearchArea

Optional

Google returns results radiating outward from each search point, so an unfiltered New York sweep also returns New Jersey. Inside the area drops any place whose coordinates fall outside the geocoded bounding box; Area + 25% margin allows a border strip; No filter reproduces the raw, unfiltered result set. Separately, every area is probed once before any row is saved — if that probe comes back with another metro's places, the connection is escalated rather than trusted. Default: inside the area.

Type:string

Default:strict

Options:

strictpaddedoff

🛰️ Apify Proxy

proxyConfiguration

Optional

Datacenter proxy is enough for most runs. Add the RESIDENTIAL group for heavy sweeps or if you see the connection escalate in the log.

Type:object

Default:

{
  "useApifyProxy": true
}

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