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📈 Google Trends Insights Scraper

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Google Trends Insights Scraper: Extract search trends, interest scores, related queries, topics, regions, and time-based data. Analyze keyword popularity, emerging trends, seasonal demand, and audience interests for SEO, content strategy, market research, and forecasting.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

API Empire

Actor stats

Bookmarked

Total users

Monthly active users

12 days ago

Last modified

Categories

Automation

Lead generation

Social media

🔎 Search terms / keywords

searchTerms

Optional

Keywords or topics to analyze. Required unless you use Google Trends URLs, a Google Sheet, or select only TRENDING_NOW. Example: ["chatgpt", "python"].

Type:string[]

🧩 Comparison mode (comma = one group)

isMultiple

Optional

When on, commas inside one search term split it into a single comparison group (max 5 keywords compared together, normalized 0-100 against each other). Example: "chatgpt, gemini, claude" → one comparison. Default: off (each term analyzed separately).

Type:boolean

Default:false

🗃️ Data types to fetch (each billed separately)

dataTypes

Optional

Pick which data to fetch. Each extra type adds Google Trends requests (proxy cost) and is billed as its own pay-per-event. TIMESERIES=interest over time, GEO=interest by region/city, RELATED_QUERIES / RELATED_TOPICS=top+rising associations, TRENDING_NOW=real-time trending searches. Default: TIMESERIES only.

Type:string[]

Default:

[
  "TIMESERIES"
]

📺 Google property

gprop

Optional

Which Google surface to measure. Web is the default; News/Images/YouTube/Shopping unlock vertical-specific trends.

Type:string

Default:web

Options:

webnewsimagesyoutubeshopping

⏳ Time range

timeRange

Optional

How far back to analyze. Ignored if you set a custom date range below. Default: Past 12 months.

Type:string

Default:today 12-m

Options:

now 1-Hnow 4-Hnow 1-dnow 7-dtoday 1-mtoday 3-mtoday 12-mtoday 5-yall

📅 Custom range — start

startDate

Optional

Optional exact start date. Accepts an absolute date (YYYY-MM-DD) or a relative value (e.g. "3 months"). Setting start and/or end overrides the preset Time range above.

Type:string

📅 Custom range — end

endDate

Optional

Optional exact end date. Absolute (YYYY-MM-DD) or relative (e.g. "1 day"). Defaults to today when only a start is given.

Type:string

🌍 Geo (country / region / city / DMA)

geo

Optional

Location code. Leave empty for Worldwide. Accepts country (US), region/state (US-NY), city (US-NY-501), or DMA. If you provide Google Trends URLs, the geo inside each URL is used for that URL.

Type:string

Default:

🗺️ Region resolution (for Interest by region)

resolution

Optional

Granularity of GEO results. Auto = COUNTRY when Geo is worldwide, otherwise REGION. Only applies when GEO is in Data types.

Type:string

Default:

Options:

COUNTRYREGIONCITYDMA

🔬 Include low-volume regions

includeLowVolumeGeos

Optional

Include regions/cities with low search volume in Interest-by-region results. Default: off.

Type:boolean

Default:false

🗂️ Category

category

Optional

Restrict to a Google Trends category. Enter a numeric category ID (e.g. 5 = Computers & Electronics, 71 = Food & Drink) or a search name (e.g. "Travel") to auto-resolve against the full category tree. Empty = all categories.

Type:string

Default:

🈯 Language (hl)

Optional

Two-letter interface language for labels (e.g. en, es, fr, de). Default: en.

Type:string

Default:en

🕐 Timezone offset minutes (tz)

Optional

Timezone offset in minutes used when bucketing time data. 360 = US Central. Default: 360.

Type:integer

Default:360

🧾 Output format (timeseries)

outputFormat

Optional

wide = one row per keyword with a nested timeline + derived stats. long = additionally emit one row per date × keyword (tidy for spreadsheets/BI). Default: wide.

Type:string

Default:wide

Options:

widelong

🔥 Trending window (hours)

trendingHours

Optional

For TRENDING_NOW: detect searches trending within the last N hours (1-191). Default: 24.

Type:integer

Minimum:1

Maximum:191

Default:24

📰 Fetch news articles for trends

trendingNews

Optional

For TRENDING_NOW: also fetch related news articles (title/url/source/picture) per trend. Adds one request per trend (slower, more proxy cost). Default: off.

Type:boolean

Default:false

🔢 Max trending items per geo

maxTrendingItems

Optional

Cap the number of TRENDING_NOW results per region. 0 = all. Default: 25.

Type:integer

Minimum:0

Default:25

🔗 Google Trends URLs

startUrls

Optional

Paste full Google Trends explore URLs. Each URL's own q / geo / date / cat / gprop parameters are applied to that URL only. Example: https://trends.google.com/trends/explore?q=chatgpt,gemini&geo=US&date=today%2012-m

Type:string[]

📄 Google Sheet ID

spreadsheetId

Optional

Optional: load terms from a public Google Sheet (one column; row 1 = header).

Type:string

Default:

🔢 Max keyword groups

maxItems

Optional

Cap the number of keyword groups (top-level jobs) processed. 0 = no limit. Each group may still emit multiple rows and data types.

Type:integer

Minimum:0

Default:0

⚡ Max concurrency

maxConcurrency

Optional

How many keyword groups to fetch in parallel (each uses its own client/IP). Google Trends rate-limits aggressively — keep this low (1-3). Default: 1.

Type:integer

Minimum:1

Maximum:10

Default:1

🔁 Max IP rotations per proxy tier

maxRequestRetries

Optional

On a 429/block, how many times to rotate the proxy IP (with exponential backoff, honoring Retry-After) within a tier before escalating none → datacenter → residential. Default: 3.

Type:integer

Minimum:1

Default:3

⏱️ Min delay between requests (seconds)

requestDelaySecs

Optional

Minimum spacing between Google Trends requests to reduce rate-limiting. Default: 2.

Type:integer

Minimum:0

Default:2

🛡️ Proxy configuration

proxyConfiguration

Optional

Google Trends heavily rate-limits datacenter/cloud IPs. Enable Apify Proxy (RESIDENTIAL recommended) for reliable results. The actor auto-escalates none → datacenter → residential on blocks.

Type:object

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