SerpWow API | Full Coverage SERP Data
# | id |
search.custom_id |
success |
search.q |
search.device |
search.location |
search.google_domain |
search.gl |
search.hl |
result.search_information.original_query_yields_zero_results |
result.search_metadata.engine_url |
result.search_metadata.created_at |
result.search_metadata.processed_at |
result.search_metadata.total_time_taken |
result.search_metadata.html_url |
result.search_metadata.json_url |
result.trends_interest_over_time.data.date_utc |
result.trends_interest_over_time.data.date_formatted |
result.trends_interest_over_time.data.values.keyword |
result.trends_interest_over_time.data.values.has_value |
result.trends_interest_over_time.data.values.value |
result.trends_interest_over_time.data.values.value_formatted |
result.trends_interest_by_subregion.geo |
result.trends_interest_by_subregion.name |
result.trends_interest_by_subregion.values.keyword |
result.trends_interest_by_subregion.values.has_value |
result.trends_interest_by_subregion.values.value |
result.trends_interest_by_subregion.values.value_formatted |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
2 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
3 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
4 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
5 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
6 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx |
8 | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
9 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx |
10 | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
... | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
String | 2E618529BC9D498282B65EECDECFA9FF | |
search.custom_id
|
String | trends | |
success
|
Boolean | t | |
search.q
|
String | taylor swift | |
search.device
|
|||
search.location
|
String | 98146,Washington,United States | |
search.google_domain
|
String | google.com | |
search.gl
|
String | us | |
search.hl
|
String | en | |
result.search_information.original_query_yields_zero_results
|
Boolean | f | |
result.search_metadata.engine_url
|
String | https://www.trends.google.com/trends/ | |
result.search_metadata.created_at
|
DateTime | 2023-01-25T16:46:01+00:00 | |
result.search_metadata.processed_at
|
DateTime | 2023-01-25T16:46:11+00:00 | |
result.search_metadata.total_time_taken
|
Float | 9.72 | |
result.search_metadata.html_url
|
String | https://api.serpwow.com/live/search?api_key={api_key}&q=t... | |
result.search_metadata.json_url
|
String | https://api.serpwow.com/live/search?api_key={api_key}&q=t... | |
result.trends_interest_over_time.data.date_utc
|
DateTime | 2022-01-30T00:00:00+00:00 | |
result.trends_interest_over_time.data.date_formatted
|
String | Jan 30 – Feb 5, 2022 | |
result.trends_interest_over_time.data.values.keyword
|
String | taylor swift | |
result.trends_interest_over_time.data.values.has_value
|
Boolean | t | |
result.trends_interest_over_time.data.values.value
|
Integer | 17 | |
result.trends_interest_over_time.data.values.value_formatted
|
Integer | 17 | |
result.trends_interest_by_subregion.geo
|
|||
result.trends_interest_by_subregion.name
|
|||
result.trends_interest_by_subregion.values.keyword
|
|||
result.trends_interest_by_subregion.values.has_value
|
|||
result.trends_interest_by_subregion.values.value
|
|||
result.trends_interest_by_subregion.values.value_formatted
|
Description
Country Coverage
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License |
$25$23.75 / month |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is SerpWow API Full Coverage SERP Data?
The SERP API with advanced parsing to reliably capture all search results across all major search engines
What is SerpWow API Full Coverage SERP Data used for?
This product has 5 key use cases. Traject Data recommends using the data for Search Engine Optimization (SEO), Market Intelligence, Business Development, Competitive Intelligence, and Product Data Enrichment. Global businesses and organizations buy SEO Data from Traject Data to fuel their analytics and enrichment.
Who can use SerpWow API Full Coverage SERP Data?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for SEO Data. Get in touch with Traject Data to see what their data can do for your business and find out which integrations they provide.
Which countries does SerpWow API Full Coverage SERP Data cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Traject Data is headquartered in United States of America.
How much does SerpWow API Full Coverage SERP Data cost?
Pricing for SerpWow API Full Coverage SERP Data starts at USD25 per month. Traject Data offers a 5% discount when you buy data from them through Datarade. Connect with Traject Data to get a quote and arrange custom pricing models based on your data requirements.
How can I get SerpWow API Full Coverage SERP Data?
Businesses can buy SEO Data from Traject Data and get the data via S3 Bucket and REST API. Depending on your data requirements and subscription budget, Traject Data can deliver this product in .json and .csv format.
What is the data quality of SerpWow API Full Coverage SERP Data?
You can compare and assess the data quality of Traject Data using Datarade’s data marketplace.
What are similar products to SerpWow API Full Coverage SERP Data?
This product has 3 related products. These alternatives include Serpstat: Google SERP Scraping API Real-time All locations Postcode Local Level, OpenWeb Ninja Google SERP Data, Web Search Data, Google Images Data 100B+ Images Global Coverage Real-Time API, and Scale SERP API Google Search Results Data. You can compare the best SEO Data providers and products via Datarade’s data marketplace and get the right data for your use case.