Google Maps Search Scraper

Scraper

$0.3/1000

results

Discover Google Maps businesses by keyword, nearby, radius, bounding box, area, or bulk queries — lead-gen search that returns the place name, rating, address, and Maps URL for each match.

Scraping Dino

105

Try it out

Google Maps Search Scraper

Scraper

Discover Google Maps businesses by keyword, nearby, radius, bounding box, area, or bulk queries — lead-gen search that returns the place name, rating, address, and Maps URL for each match.

Scraping Dino

105

$0.3/1000results

Try it out

Scraping Dino Google Maps Search

Find local businesses with flexible geo and keyword modes — then pipe IDs into profile/review tools.

On Scrapy.io, Scraping Dino Google Maps Search by Scraping Dino is built for google scraper workflows — run from the Store, schedule recurring jobs, or POST to scrapingdino.p.scrapy.io from your stack.

What it does

Searches Maps via keyword, nearby, radius, bounding box, area, or bulk queries
Supports language, country, category, and maxResults
Returns listing-level rows you can enrich next

Why teams scrape Google Maps with Scraping Dino

Google Maps is the default directory for local businesses — addresses, phones, hours, ratings, reviews, and posts that power lead-gen, store locators, and reputation programs. A google scraper pipeline on Scrapy.io turns Maps URLs and place IDs into rows your database can join to Salesforce, HubSpot, or internal territory models.

Scraping Dino Google Maps Search accepts batch targets (place IDs, business IDs, or full Maps URLs) and returns normalized business, review, or search fields. Caps like maxReviews and maxResults keep enrichment jobs predictable when you are sweeping thousands of locations.

Scraping Dino Maps tools are composable: search to discover, business scraper to enrich, reviews for sentiment, reviewer detail for investigations. Each step bills separately on successful rows so you only pay for depth where you need it.

What data can Scraping Dino Google Maps Search extract?

This google scraper on Scrapy.io exports structured fields including:

Name — Business name
Place ID — Google place identifier
Category — Primary category
Rating — Average rating
Address — Location string
Coordinates — Latitude and longitude
Maps URL — Link to the listing
Search mode / query — Context for the hit

How to run on Scrapy.io

Open Scraping Dino Google Maps Search on the Scrapy.io Store.
Click Try for free or Run.
Fill in the input form (see Input below) or paste JSON from the example.
Click Start and wait for the run to complete.
Download results from the Output tab, or fetch them via the publisher API.

For your first run, keep caps low (maxResults, maxReviews, etc.) until you validate row shape in the Output preview.

Search intent and keywords

Teams discover Scraping Dino Google Maps Search while researching google scraper and related terms such as google scrape, google web scraping tool, google map extractor, google maps extractor. This listing is structured to answer common questions — including — with concrete Input and Output examples you can run on Scrapy.io without maintaining your own scraper infrastructure.

If you arrived from SEO or paid search, start with the Input JSON example below, run once on the free tier, then scale with schedules or the publisher API once row shape and cost look right.

Quick start checklist

Use this checklist before your first production run of Scraping Dino Google Maps Search:

Validate inputs — paste a single URL, username, query, or place ID and confirm the Output shape matches your schema
Set caps — tune maxResults, maxReviews, or equivalent limits so a full batch stays within budget
Inspect errors — open the Errors view; fix malformed inputs rather than retrying the entire run blindly
Export once — download JSON and share with stakeholders for sign-off on columns and row volume
Promote to API — copy the same JSON to a POST against scrapingdino.p.scrapy.io/google-maps-search-scraper/v1/api or create a scheduled job

Most teams keep a "golden" input file in git for Scraping Dino Google Maps Search so staging and production use identical payloads. Update that file when you add keywords, targets, or communities — not the orchestration code around it.

Input

Choose a searchMode first — keyword, nearby, radius, bounding box, area, or bulk — then provide the matching geo or query fields.

Configure the run in the Scrapy.io input form or pass JSON to the publisher API.

Input JSON example

{
  "searchMode": "keyword",
  "query": "Restaurants in Manhattan",
  "country": "US",
  "language": "en",
  "maxResults": 50
}

Field	Type	Required	Description
`searchMode`	string	Yes	How places are discovered
`query`	string	No	Search query or keyword for the selected search mode. Also accepted: `queries` (Keywords for `keyword` or `bulk` mode).
`country`	string	No	Country code for keyword or bulk search
`language`	string	No	Language code for the response
`maxResults`	integer	No	Maximum number of results to collect

*Required for keyword or bulk mode. **Required for nearby / radius. ***Required for boundingBox. ****Required for area mode.

Output

Results appear in the Scrapy.io run Output tab. Search results and Errors tables.

Each successful row is designed for warehouse loads: stable column names, explicit error rows, and caps you control in the input form.

JSON example

[
  {
    "searchMode": "keyword",
    "query": "coffee shop",
    "name": "Example Roasters",
    "placeId": "ChIJ...",
    "rating": 4.5,
    "address": "100 Congress Ave, Austin, TX",
    "googleMapsUrl": "https://www.google.com/maps/place/..."
  }
]

Download the full dataset as JSON, CSV, or Excel from the Output tab, or fetch results programmatically via the publisher API after the run completes.

Where teams use the data

Lead generation

build TAM lists by city and category

Teams usually snapshot these rows on a schedule, store a scrapedAt timestamp in their warehouse, and diff week-over-week to spot new entries or metric changes. For first-time setup, run Scraping Dino with conservative caps, validate the Output preview against your schema, then promote the same JSON to a cron or API job. Document which Output view (Posts, Comments, Reviews, etc.) your downstream models consume so new teammates can reproduce the pipeline without tribal knowledge.

Market entry

size competition in a radius or bounding box

Directory building

seed vertical directories from Maps

Territory design

compare density across regions

Why Scraping Dino

Search is priced and shaped as a discovery hop ($0.30 / 1k) into deeper Scraping Dino Maps tools. Prefer us when search results must become place IDs in your database the same day.

Pipeline patterns with Scraping Dino

Scraping Dino Google Maps Search is rarely the only step in a data workflow. Teams typically:

Sweep a metro with keyword + country, then enrich hits via Google Maps Business Scraper
Use boundingBox for corridor or neighborhood lead-gen

See Related Scraping Dino tools below for same-publisher companions you can chain without leaving the Scrapy.io billing account.

Loading Scraping Dino Google Maps Search data into your warehouse

Most production deployments follow the same shape:

Extract — scheduled Scrapy.io run or API POST with your input JSON
Stage — land raw JSON in S3, GCS, or a staging Postgres schema
Normalize — map Output columns to typed tables (posts, comments, businesses, videos, etc.)
Dedupe — key on stable IDs (postUrl, placeId, videoId, reviewId, …) plus scrape date where history matters
Serve — expose dbt models or API views to BI, CRM enrichment, or alerting

Scraping Dino Google Maps Search separates successful rows from per-input errors, so staging logic can WHERE type != 'error' (or the equivalent filter for your tool) without failing the whole batch. Join across Scraping Dino tools on those stable keys to build multi-step datasets without re-scraping upstream steps.

Build vs. buy: why use Scraping Dino Google Maps Search on Scrapy.io?

Maintaining Reddit, Maps, or YouTube extractors in-house means handling rate limits, HTML or API changes, proxy rotation, and observability — work that rarely differentiates your product. Scraping Dino Google Maps Search on Scrapy.io outsources that operational burden: you supply inputs, Scrapy.io runs the job, and you pay per successful row.

Scraping Dino listings add warehouse-first documentation (clear caps, field lists, and pipeline patterns) so data teams can onboard without reading executor source code. When requirements change, update the input JSON or schedule — not your scraper fleet.

Export formats and delivery

Scraping Dino Google Maps Search runs on Scrapy.io support multiple ways to get data out:

JSON — best for APIs, agents, and document stores; preserves nested fields
CSV — spreadsheet-friendly flat exports for analysts
Excel — formatted downloads for stakeholder review
Publisher API — POST inputs and poll or webhook results into your own pipeline
Webhooks — push finished runs to Slack, Zapier, or custom endpoints

For production pipelines, most teams land JSON in object storage, normalize in dbt or Spark, and schedule recurring runs so the Store listing becomes just another data source — not a manual step.

Scheduling and automation

Run Scraping Dino Google Maps Search once from the Store to validate inputs, then promote the same JSON payload to a scheduled job on Scrapy.io. Common patterns:

Daily discovery — refresh feeds, search queries, or Maps targets on a cron
Event-driven enrichment — webhook from your CRM when a new URL or place ID appears
API batch jobs — your backend POSTs to scrapingdino.p.scrapy.io on a queue

Scraping Dino tools use pay-per-result billing, so scheduled jobs stay predictable when you cap maxResults, maxReviews, or equivalent limits in the input form.

Pricing

$0.30 per 1,000 results

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/google-maps-search-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "searchMode": "keyword",
    "query": "coffee shop",
    "country": "us",
    "maxResults": 50
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/google-maps-search-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "searchMode": "keyword",
    "query": "coffee shop",
    "country": "us",
    "maxResults": 50
  }'

Open the API tab on the Store listing for Python, JavaScript, cURL, OpenAPI, and MCP snippets.

MCP and agent workflows

Scraping Dino Google Maps Search is available through the Scrapy.io MCP server — configure your API key in Cursor, Claude Desktop, or another MCP client, then invoke the tool from agent workflows. This is useful for ad-hoc research ("scrape these ten URLs and summarize the Output") without writing boilerplate HTTP code.

For production, prefer the publisher API or scheduled runs; use MCP for exploratory analysis and internal tooling where a human or agent supplies inputs interactively. See the API tab on Scraping Dino Google Maps Search for MCP connection snippets.

Tool	Best for
Scraping Dino Google Maps Business Profiles	Scraping Dino companion tool — overview
Scraping Dino Google Maps Business Pro	Scraping Dino companion tool — overview
Scraping Dino Google Maps Posts	Scraping Dino companion tool — overview

Tips for scaling runs

Shard keyword lists across runs by city or category
Store searchMode and query on every row for reproducible lead lists
Inspect per-row errors in the Errors output view instead of failing an entire batch
When Maps, Reddit, or YouTube batches repeat the same error, raise Issues on this Scraping Dino listing with your run ID and a sample input

Limitations

Geo modes require the matching coordinate or area fields — mixed modes in one payload fail validation
Results reflect Google Maps search at scrape time

Scraping Dino Google Maps Search collects publicly available data only. You are responsible for complying with platform terms, applicable laws, and data-protection regulations (including GDPR when personal data is involved). Consult your legal team for your specific use case.

Frequently asked questions

How much does Scraping Dino Google Maps Search cost?

$0.30 per 1,000 results. You are charged only for successfully scraped rows. See Scrapy.io pricing for plan details.

Can I integrate Scraping Dino Google Maps Search with other apps?

Yes. Use webhooks, scheduled runs, or the publisher API to push data into your warehouse, CRM, or automation stack.

Can I use Scraping Dino Google Maps Search with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/google-maps-search-scraper/v1/api with your API key. See the API tab on the Store listing for ready-made snippets.

Can I use Scraping Dino Google Maps Search through an MCP server?

Yes. Configure the Scrapy.io MCP endpoint with your API key to query Scraping Dino Google Maps Search from AI assistants and agent workflows.

Scraping Dino Google Maps Search is not working — what should I do?

Verify inputs (URLs, queries, identifiers) are valid and public
Lower volume caps and retry
Check the run log for per-row errors in the Errors output view
Log the failure in Issues on this Scraping Dino tool page (run ID + place ID, subreddit, or video URL)

Your feedback

Scraping Dino maintains deep Maps, Reddit, and YouTube coverage — star the tool in Reviews if exports are landing in your warehouse and mention which dataset you rely on most.

Similar Tools

View all

Google Maps Business Finder

ScraperAPI

$0.86

Search Google Maps by keyword, nearby, radius, bounding box, area, or bulk queries.

0.0146

Google Maps Business Data Extractor

ScraperAPI

$3.34

Extract complete Google Maps business profile information from place IDs or Maps URLs.

3.8(5)130

Google Maps Reviews Collector

ScraperAPI

$3.52

Extract Google Maps business reviews with sort order and max review controls.

3.7(6)118

Scraping Dino Google Maps Search

Find local businesses with flexible geo and keyword modes — then pipe IDs into profile/review tools.

What it does

Searches Maps via keyword, nearby, radius, bounding box, area, or bulk queries
Supports language, country, category, and maxResults
Returns listing-level rows you can enrich next

Why teams scrape Google Maps with Scraping Dino

What data can Scraping Dino Google Maps Search extract?

This google scraper on Scrapy.io exports structured fields including:

Name — Business name
Place ID — Google place identifier
Category — Primary category
Rating — Average rating
Address — Location string
Coordinates — Latitude and longitude
Maps URL — Link to the listing
Search mode / query — Context for the hit

How to run on Scrapy.io

Open Scraping Dino Google Maps Search on the Scrapy.io Store.
Click Try for free or Run.
Fill in the input form (see Input below) or paste JSON from the example.
Click Start and wait for the run to complete.
Download results from the Output tab, or fetch them via the publisher API.

For your first run, keep caps low (maxResults, maxReviews, etc.) until you validate row shape in the Output preview.

Search intent and keywords

If you arrived from SEO or paid search, start with the Input JSON example below, run once on the free tier, then scale with schedules or the publisher API once row shape and cost look right.

Quick start checklist

Use this checklist before your first production run of Scraping Dino Google Maps Search:

Validate inputs — paste a single URL, username, query, or place ID and confirm the Output shape matches your schema
Set caps — tune maxResults, maxReviews, or equivalent limits so a full batch stays within budget
Inspect errors — open the Errors view; fix malformed inputs rather than retrying the entire run blindly
Export once — download JSON and share with stakeholders for sign-off on columns and row volume
Promote to API — copy the same JSON to a POST against scrapingdino.p.scrapy.io/google-maps-search-scraper/v1/api or create a scheduled job

Input

Choose a searchMode first — keyword, nearby, radius, bounding box, area, or bulk — then provide the matching geo or query fields.

Configure the run in the Scrapy.io input form or pass JSON to the publisher API.

Input JSON example

{
  "searchMode": "keyword",
  "query": "Restaurants in Manhattan",
  "country": "US",
  "language": "en",
  "maxResults": 50
}

Field	Type	Required	Description
`searchMode`	string	Yes	How places are discovered
`query`	string	No	Search query or keyword for the selected search mode. Also accepted: `queries` (Keywords for `keyword` or `bulk` mode).
`country`	string	No	Country code for keyword or bulk search
`language`	string	No	Language code for the response
`maxResults`	integer	No	Maximum number of results to collect

*Required for keyword or bulk mode. **Required for nearby / radius. ***Required for boundingBox. ****Required for area mode.

Output

Results appear in the Scrapy.io run Output tab. Search results and Errors tables.

Each successful row is designed for warehouse loads: stable column names, explicit error rows, and caps you control in the input form.

JSON example

[
  {
    "searchMode": "keyword",
    "query": "coffee shop",
    "name": "Example Roasters",
    "placeId": "ChIJ...",
    "rating": 4.5,
    "address": "100 Congress Ave, Austin, TX",
    "googleMapsUrl": "https://www.google.com/maps/place/..."
  }
]

Download the full dataset as JSON, CSV, or Excel from the Output tab, or fetch results programmatically via the publisher API after the run completes.

Where teams use the data

Lead generation

build TAM lists by city and category

Market entry

size competition in a radius or bounding box

Directory building

seed vertical directories from Maps

Territory design

compare density across regions

Why Scraping Dino

Search is priced and shaped as a discovery hop ($0.30 / 1k) into deeper Scraping Dino Maps tools. Prefer us when search results must become place IDs in your database the same day.

Pipeline patterns with Scraping Dino

Scraping Dino Google Maps Search is rarely the only step in a data workflow. Teams typically:

Sweep a metro with keyword + country, then enrich hits via Google Maps Business Scraper
Use boundingBox for corridor or neighborhood lead-gen

See Related Scraping Dino tools below for same-publisher companions you can chain without leaving the Scrapy.io billing account.

Loading Scraping Dino Google Maps Search data into your warehouse

Most production deployments follow the same shape:

Extract — scheduled Scrapy.io run or API POST with your input JSON
Stage — land raw JSON in S3, GCS, or a staging Postgres schema
Normalize — map Output columns to typed tables (posts, comments, businesses, videos, etc.)
Dedupe — key on stable IDs (postUrl, placeId, videoId, reviewId, …) plus scrape date where history matters
Serve — expose dbt models or API views to BI, CRM enrichment, or alerting

Build vs. buy: why use Scraping Dino Google Maps Search on Scrapy.io?

Export formats and delivery

Scraping Dino Google Maps Search runs on Scrapy.io support multiple ways to get data out:

JSON — best for APIs, agents, and document stores; preserves nested fields
CSV — spreadsheet-friendly flat exports for analysts
Excel — formatted downloads for stakeholder review
Publisher API — POST inputs and poll or webhook results into your own pipeline
Webhooks — push finished runs to Slack, Zapier, or custom endpoints

For production pipelines, most teams land JSON in object storage, normalize in dbt or Spark, and schedule recurring runs so the Store listing becomes just another data source — not a manual step.

Scheduling and automation

Run Scraping Dino Google Maps Search once from the Store to validate inputs, then promote the same JSON payload to a scheduled job on Scrapy.io. Common patterns:

Daily discovery — refresh feeds, search queries, or Maps targets on a cron
Event-driven enrichment — webhook from your CRM when a new URL or place ID appears
API batch jobs — your backend POSTs to scrapingdino.p.scrapy.io on a queue

Scraping Dino tools use pay-per-result billing, so scheduled jobs stay predictable when you cap maxResults, maxReviews, or equivalent limits in the input form.

Pricing

$0.30 per 1,000 results

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/google-maps-search-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "searchMode": "keyword",
    "query": "coffee shop",
    "country": "us",
    "maxResults": 50
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/google-maps-search-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "searchMode": "keyword",
    "query": "coffee shop",
    "country": "us",
    "maxResults": 50
  }'

Open the API tab on the Store listing for Python, JavaScript, cURL, OpenAPI, and MCP snippets.

MCP and agent workflows

Tool	Best for
Scraping Dino Google Maps Business Profiles	Scraping Dino companion tool — overview
Scraping Dino Google Maps Business Pro	Scraping Dino companion tool — overview
Scraping Dino Google Maps Posts	Scraping Dino companion tool — overview

Tips for scaling runs

Shard keyword lists across runs by city or category
Store searchMode and query on every row for reproducible lead lists
Inspect per-row errors in the Errors output view instead of failing an entire batch
When Maps, Reddit, or YouTube batches repeat the same error, raise Issues on this Scraping Dino listing with your run ID and a sample input

Limitations

Geo modes require the matching coordinate or area fields — mixed modes in one payload fail validation
Results reflect Google Maps search at scrape time

Frequently asked questions

How much does Scraping Dino Google Maps Search cost?

$0.30 per 1,000 results. You are charged only for successfully scraped rows. See Scrapy.io pricing for plan details.

Can I integrate Scraping Dino Google Maps Search with other apps?

Yes. Use webhooks, scheduled runs, or the publisher API to push data into your warehouse, CRM, or automation stack.

Can I use Scraping Dino Google Maps Search with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/google-maps-search-scraper/v1/api with your API key. See the API tab on the Store listing for ready-made snippets.

Can I use Scraping Dino Google Maps Search through an MCP server?

Yes. Configure the Scrapy.io MCP endpoint with your API key to query Scraping Dino Google Maps Search from AI assistants and agent workflows.

Scraping Dino Google Maps Search is not working — what should I do?

Verify inputs (URLs, queries, identifiers) are valid and public
Lower volume caps and retry
Check the run log for per-row errors in the Errors output view
Log the failure in Issues on this Scraping Dino tool page (run ID + place ID, subreddit, or video URL)

Your feedback

Scraping Dino maintains deep Maps, Reddit, and YouTube coverage — star the tool in Reviews if exports are landing in your warehouse and mention which dataset you rely on most.

Similar Tools

View all

Google Maps Business Finder

ScraperAPI

$0.86

Search Google Maps by keyword, nearby, radius, bounding box, area, or bulk queries.

0.0146

Google Maps Business Data Extractor

ScraperAPI

$3.34

Extract complete Google Maps business profile information from place IDs or Maps URLs.

3.8(5)130

Google Maps Reviews Collector

ScraperAPI

$3.52

Extract Google Maps business reviews with sort order and max review controls.

3.7(6)118

Google Maps Search Scraper

Google Maps Search Scraper

Scraping Dino Google Maps Search

What it does

Why teams scrape Google Maps with Scraping Dino

What data can Scraping Dino Google Maps Search extract?

How to run on Scrapy.io

Search intent and keywords

Quick start checklist

Input

Input JSON example

Output

JSON example

Where teams use the data

Lead generation

Market entry

Directory building

Territory design

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Google Maps Search data into your warehouse

Build vs. buy: why use Scraping Dino Google Maps Search on Scrapy.io?

Export formats and delivery

Scheduling and automation

Pricing

Publisher API

MCP and agent workflows

Related Scraping Dino tools on Scrapy.io

Tips for scaling runs

Limitations

Frequently asked questions

How much does Scraping Dino Google Maps Search cost?

Can I integrate Scraping Dino Google Maps Search with other apps?

Can I use Scraping Dino Google Maps Search with the Scrapy.io API?

Can I use Scraping Dino Google Maps Search through an MCP server?

Scraping Dino Google Maps Search is not working — what should I do?

Your feedback

Similar Tools

Google Maps Business Finder

Google Maps Business Data Extractor

Google Maps Reviews Collector

Scraping Dino Google Maps Search

What it does

Why teams scrape Google Maps with Scraping Dino

What data can Scraping Dino Google Maps Search extract?

How to run on Scrapy.io

Search intent and keywords

Quick start checklist

Input

Input JSON example

Output

JSON example

Where teams use the data

Lead generation

Market entry

Directory building

Territory design

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Google Maps Search data into your warehouse

Build vs. buy: why use Scraping Dino Google Maps Search on Scrapy.io?

Export formats and delivery

Scheduling and automation

Pricing

Publisher API

MCP and agent workflows

Related Scraping Dino tools on Scrapy.io

Tips for scaling runs

Limitations

Frequently asked questions

How much does Scraping Dino Google Maps Search cost?

Can I integrate Scraping Dino Google Maps Search with other apps?

Can I use Scraping Dino Google Maps Search with the Scrapy.io API?

Can I use Scraping Dino Google Maps Search through an MCP server?

Scraping Dino Google Maps Search is not working — what should I do?

Your feedback

Similar Tools

Google Maps Business Finder

Google Maps Business Data Extractor

Google Maps Reviews Collector