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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<filters: struct<description: string, type: string>, include_clickstream_data: struct<default: string, description: string, type: string>, include_subdomains: struct<description: string, type: string, default: string>, item_types: struct<default: string, description: string, type: string>, language_code: struct<default: string, description: string, type: string>, limit: struct<default: string, description: string, type: string>, location_name: struct<default: string, description: string, type: string>, offset: struct<description: string, type: string, default: string>, order_by: struct<description: string, type: string>, target: struct<description: string, type: string>, keywords: struct<description: string, type: string>, keyword: struct<description: string, type: string>, depth: struct<default: string, description: string, type: string>, device: struct<default: string, description: string, type: string>, max_crawl_pages: struct<default: string, description: string, type: string>, people_also_ask_click_depth: struct<description: string, type: string>, search_engine: struct<default: string, description: string, type: string>, categories: struct<description: string, type: string>, description: struct<description: string, type: string>, is_claimed: struct<default: string, description: string, type: string>, location_coordinate: struct<description: string, type: string>, title: struct<description: string, type: string>, llm_type: struct<description: string, type: string>, 
...
 type: string>, initial_dataset_filters: struct<description: string, type: string>, internal_list_limit: struct<default: string, description: string, type: string>, keyword_fields: struct<description: string, type: string>, page_type: struct<description: string, type: string>, positive_connotation_threshold: struct<default: string, description: string, type: string>, sentiments_connotation_threshold: struct<default: string, description: string, type: string>, date_from: struct<description: string, type: string>, search_mode: struct<description: string, type: string>, date_to: struct<description: string, type: string>, group_range: struct<default: string, description: string, type: string>, date_group: struct<default: string, description: string, type: string>, exclude_pages: struct<description: string, type: string>, intersection_mode: struct<description: string, type: string>, pages: struct<description: string, type: string>, tool: struct<description: string, type: string>, mode: struct<default: string, description: string, type: string>, block_depth: struct<default: string, description: string, type: string>, os: struct<default: string, description: string, type: string>, subtitles_language: struct<description: string, type: string>, subtitles_translate_language: struct<description: string, type: string>, video_id: struct<description: string, type: string>, country_iso_code: struct<description: string, type: string>, location_type: struct<description: string, type: string>>
to
{'filters': {'description': Value('string'), 'type': Value('string')}, 'include_clickstream_data': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'include_subdomains': {'description': Value('string'), 'type': Value('string'), 'default': Value('string')}, 'item_types': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'language_code': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'limit': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'location_name': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'offset': {'description': Value('string'), 'type': Value('string'), 'default': Value('string')}, 'order_by': {'description': Value('string'), 'type': Value('string')}, 'target': {'description': Value('string'), 'type': Value('string')}, 'depth': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'device': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'keyword': {'description': Value('string'), 'type': Value('string')}, 'max_crawl_pages': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'people_also_ask_click_depth': {'description': Value('string'), 'type': Value('string')}, 'search_engine': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 
...
iption': Value('string'), 'type': Value('string')}, 'exclude_pages': {'description': Value('string'), 'type': Value('string')}, 'intersection_mode': {'description': Value('string'), 'type': Value('string')}, 'pages': {'description': Value('string'), 'type': Value('string')}, 'country_iso_code': {'description': Value('string'), 'type': Value('string')}, 'location_type': {'description': Value('string'), 'type': Value('string')}, 'keyword_fields': {'description': Value('string'), 'type': Value('string')}, 'page_type': {'description': Value('string'), 'type': Value('string')}, 'search_mode': {'description': Value('string'), 'type': Value('string')}, 'initial_dataset_filters': {'description': Value('string'), 'type': Value('string')}, 'internal_list_limit': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'positive_connotation_threshold': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'sentiments_connotation_threshold': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'network_address_type': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'block_depth': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'os': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'date_group': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}}
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<filters: struct<description: string, type: string>, include_clickstream_data: struct<default: string, description: string, type: string>, include_subdomains: struct<description: string, type: string, default: string>, item_types: struct<default: string, description: string, type: string>, language_code: struct<default: string, description: string, type: string>, limit: struct<default: string, description: string, type: string>, location_name: struct<default: string, description: string, type: string>, offset: struct<description: string, type: string, default: string>, order_by: struct<description: string, type: string>, target: struct<description: string, type: string>, keywords: struct<description: string, type: string>, keyword: struct<description: string, type: string>, depth: struct<default: string, description: string, type: string>, device: struct<default: string, description: string, type: string>, max_crawl_pages: struct<default: string, description: string, type: string>, people_also_ask_click_depth: struct<description: string, type: string>, search_engine: struct<default: string, description: string, type: string>, categories: struct<description: string, type: string>, description: struct<description: string, type: string>, is_claimed: struct<default: string, description: string, type: string>, location_coordinate: struct<description: string, type: string>, title: struct<description: string, type: string>, llm_type: struct<description: string, type: string>, 
              ...
               type: string>, initial_dataset_filters: struct<description: string, type: string>, internal_list_limit: struct<default: string, description: string, type: string>, keyword_fields: struct<description: string, type: string>, page_type: struct<description: string, type: string>, positive_connotation_threshold: struct<default: string, description: string, type: string>, sentiments_connotation_threshold: struct<default: string, description: string, type: string>, date_from: struct<description: string, type: string>, search_mode: struct<description: string, type: string>, date_to: struct<description: string, type: string>, group_range: struct<default: string, description: string, type: string>, date_group: struct<default: string, description: string, type: string>, exclude_pages: struct<description: string, type: string>, intersection_mode: struct<description: string, type: string>, pages: struct<description: string, type: string>, tool: struct<description: string, type: string>, mode: struct<default: string, description: string, type: string>, block_depth: struct<default: string, description: string, type: string>, os: struct<default: string, description: string, type: string>, subtitles_language: struct<description: string, type: string>, subtitles_translate_language: struct<description: string, type: string>, video_id: struct<description: string, type: string>, country_iso_code: struct<description: string, type: string>, location_type: struct<description: string, type: string>>
              to
              {'filters': {'description': Value('string'), 'type': Value('string')}, 'include_clickstream_data': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'include_subdomains': {'description': Value('string'), 'type': Value('string'), 'default': Value('string')}, 'item_types': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'language_code': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'limit': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'location_name': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'offset': {'description': Value('string'), 'type': Value('string'), 'default': Value('string')}, 'order_by': {'description': Value('string'), 'type': Value('string')}, 'target': {'description': Value('string'), 'type': Value('string')}, 'depth': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'device': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'keyword': {'description': Value('string'), 'type': Value('string')}, 'max_crawl_pages': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'people_also_ask_click_depth': {'description': Value('string'), 'type': Value('string')}, 'search_engine': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 
              ...
              iption': Value('string'), 'type': Value('string')}, 'exclude_pages': {'description': Value('string'), 'type': Value('string')}, 'intersection_mode': {'description': Value('string'), 'type': Value('string')}, 'pages': {'description': Value('string'), 'type': Value('string')}, 'country_iso_code': {'description': Value('string'), 'type': Value('string')}, 'location_type': {'description': Value('string'), 'type': Value('string')}, 'keyword_fields': {'description': Value('string'), 'type': Value('string')}, 'page_type': {'description': Value('string'), 'type': Value('string')}, 'search_mode': {'description': Value('string'), 'type': Value('string')}, 'initial_dataset_filters': {'description': Value('string'), 'type': Value('string')}, 'internal_list_limit': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'positive_connotation_threshold': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'sentiments_connotation_threshold': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'network_address_type': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'block_depth': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'os': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}, 'date_group': {'default': Value('string'), 'description': Value('string'), 'type': Value('string')}}
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1339, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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messages
list
metadata
dict
reasoning
dict
tool_context
dict
tools
list
agent_context
dict
question
string
final_answer
string
[ { "content": "Could you run a Lighthouse audit for https://www.travel-blog-pro.com to check its mobile performance and also see how it ranks for 'best hiking gear' on mobile devices in the US?", "role": "user", "tool_calls": null, "tool_call_id": null }, { "content": "", "role": "assista...
{ "conversation_type": "cot", "react_steps": 8 }
{ "content": [ { "action": "on_page_lighthouse({\"url\": \"https://www.travel-blog-pro.com\"}); serp_organic_live_advanced({\"keyword\": \"best hiking gear\", \"location_name\": \"United States\", \"language_code\": \"en\", \"device\": \"mobile\"})", "step_number": 1, "thought": "I will perform ...
{ "executions": [ { "arguments": "{\"url\": \"https://www.travel-blog-pro.com\"}", "function_name": "on_page_lighthouse", "reasoning": "To run a Lighthouse audit for the specified website as requested by the user.", "result": "{\"description\": \"The OnPage Lighthouse API is based on Googl...
[ { "function": { "description": "This endpoint will provide you with the list of keywords that any domain or webpage is ranking for. You will also get SERP elements related to the keyword position, as well as impressions, monthly searches and other data relevant to the returned keywords.", "name": "d...
{ "mode": "single_turn" }
Could you run a Lighthouse audit for https://www.travel-blog-pro.com to check its mobile performance and also see how it ranks for 'best hiking gear' on mobile devices in the US?
I have successfully completed the mobile performance audit and ranking analysis for your website. The Lighthouse audit for https://www.travel-blog-pro.com was conducted to evaluate its mobile performance, accessibility, and SEO best practices. Simultaneously, I analyzed the mobile search results in the United States fo...
[ { "content": "I'm looking for niche opportunities in the 'sustainable yoga mats' market in the US; can you find some related long-tail keywords and tell me their search volume and ranking difficulty?", "role": "user", "tool_calls": null, "tool_call_id": null }, { "content": "", "role": "...
{ "conversation_type": "cot", "react_steps": 6 }
{ "content": [ { "action": "dataforseo_labs_google_keyword_suggestions({\"keyword\": \"sustainable yoga mats\", \"location_name\": \"United States\", \"language_code\": \"en\", \"limit\": 100})", "step_number": 1, "thought": "I will start by generating a list of long-tail keyword suggestions rel...
{ "executions": [ { "arguments": "{\"keyword\": \"sustainable yoga mats\", \"location_name\": \"United States\", \"language_code\": \"en\", \"limit\": 100}", "function_name": "dataforseo_labs_google_keyword_suggestions", "reasoning": "This tool provides long-tail keyword suggestions that include...
[ { "function": { "description": "This endpoint will provide you with the Keyword Difficulty metric for a maximum of 1,000 keywords in one API request. Keyword Difficulty stands for the relative difficulty of ranking in the first top-10 organic results for the related keyword. Keyword Difficulty in DataForS...
{ "mode": "single_turn" }
I'm looking for niche opportunities in the 'sustainable yoga mats' market in the US; can you find some related long-tail keywords and tell me their search volume and ranking difficulty?
Based on my analysis of the 'sustainable yoga mats' market in the US, there are several high-potential niche opportunities, particularly focusing on specific materials and use cases. ### **Top Niche Long-Tail Keywords** | Keyword | Search Volume (Est.) | Ranking Difficulty (0-100) | Search Intent | | :--- | :--- | :...
[ { "content": "I'm reviewing our server logs to improve our bot classification heuristics for 'searchenginewatch.com', so can you check what bot management technologies they use and run a Lighthouse audit to check for indexability issues?", "role": "user", "tool_calls": null, "tool_call_id": null }...
{ "conversation_type": "cot", "react_steps": 4 }
{ "content": [ { "action": "domain_analytics_technologies_domain_technologies({\"target\": \"searchenginewatch.com\"}); on_page_lighthouse({\"url\": \"https://www.searchenginewatch.com\"})", "step_number": 1, "thought": "I will first check the technologies used by 'searchenginewatch.com' to iden...
{ "executions": [ { "arguments": "{\"target\": \"searchenginewatch.com\"}", "function_name": "domain_analytics_technologies_domain_technologies", "reasoning": "To identify the bot management technologies used by searchenginewatch.com.", "result": "{\"description\": \"Using this endpoint yo...
[ { "function": { "description": "This endpoint allows parsing the content on any page you specify and will return the structured content of the target page, including link URLs, anchors, headings, and textual content.", "name": "on_page_content_parsing", "parameters": { "properties": { ...
{ "mode": "single_turn" }
I'm reviewing our server logs to improve our bot classification heuristics for 'searchenginewatch.com', so can you check what bot management technologies they use and run a Lighthouse audit to check for indexability issues?
Based on the technical analysis of searchenginewatch.com, the domain utilizes Cloudflare for its primary bot management and security layer, which includes features like Bot Fight Mode and challenge-based heuristics. The Lighthouse audit indicates a high SEO score, though potential indexability improvements were identif...
[ { "content": "I'm working on a competitor analysis for backlinko.com; could you identify its top organic competitors in the US and show me their domain rank overview?", "role": "user", "tool_calls": null, "tool_call_id": null }, { "content": "", "role": "assistant", "tool_calls": [ ...
{ "conversation_type": "cot", "react_steps": 3 }
{ "content": [ { "action": "dataforseo_labs_google_competitors_domain({\"target\": \"backlinko.com\", \"location_name\": \"United States\", \"language_code\": \"en\", \"limit\": 5})", "step_number": 1, "thought": "To identify the top organic competitors for backlinko.com in the United States, I ...
{ "executions": [ { "arguments": "{\"target\": \"backlinko.com\", \"location_name\": \"United States\", \"language_code\": \"en\", \"limit\": 5}", "function_name": "dataforseo_labs_google_competitors_domain", "reasoning": "I am using this tool to find the top 5 organic competitors for backlinko....
[ { "function": { "description": "This endpoint will provide you with ranking and traffic data from organic and paid search for the specified domain. You will be able to review the domain ranking distribution in SERPs as well as estimated monthly traffic volume for both organic and paid results.", "na...
{ "mode": "single_turn" }
I'm working on a competitor analysis for backlinko.com; could you identify its top organic competitors in the US and show me their domain rank overview?
Based on the organic competitor analysis for backlinko.com in the United States, the top organic competitors identified include ahrefs.com, moz.com, semrush.com, neilpatel.com, and searchenginejournal.com. These domains share a high degree of keyword intersection in the SEO and digital marketing niche. The domain rank ...
[ { "content": "I'm looking for high-volume keyword ideas for 'sustainable fashion' in the US, but please filter the results to exclude any terms containing 'cheap' or 'fast fashion'.", "role": "user", "tool_calls": null, "tool_call_id": null }, { "content": "", "role": "assistant", "t...
{ "conversation_type": "cot", "react_steps": 4 }
{ "content": [ { "action": "dataforseo_labs_google_keyword_ideas({\"keywords\": [\"sustainable fashion\"], \"location_name\": \"United States\", \"language_code\": \"en\", \"filters\": [[\"keyword\", \"not_like\", \"%cheap%\"], \"and\", [\"keyword\", \"not_like\", \"%fast fashion%\"]], \"order_by\": [\"keyw...
{ "executions": [ { "arguments": "{\"keywords\": [\"sustainable fashion\"], \"location_name\": \"United States\", \"language_code\": \"en\", \"filters\": [[\"keyword\", \"not_like\", \"%cheap%\"], \"and\", [\"keyword\", \"not_like\", \"%fast fashion%\"]], \"order_by\": [\"keyword_info.search_volume,desc\"]}...
[ { "function": { "description": "The Keyword Ideas provides search terms that are relevant to the product or service categories of the specified keywords. The algorithm selects the keywords which fall into the same categories as the seed keywords specified in a POST array.\nAs a result, you will get a list...
{ "mode": "single_turn" }
I'm looking for high-volume keyword ideas for 'sustainable fashion' in the US, but please filter the results to exclude any terms containing 'cheap' or 'fast fashion'.
I have successfully generated a list of high-volume keyword ideas for 'sustainable fashion' in the US, ensuring that all results containing 'cheap' or 'fast fashion' were excluded. By analyzing keyword ideas, long-tail suggestions, and related search terms, I found that high-volume opportunities are concentrated in cat...
[ { "content": "Who are the top organic competitors for 'best hiking boots' in the US, and can you show me the keywords that 'rei.com' is currently ranking for in that same region?", "role": "user", "tool_calls": null, "tool_call_id": null }, { "content": "", "role": "assistant", "tool...
{ "conversation_type": "cot", "react_steps": 3 }
{ "content": [ { "action": "dataforseo_labs_google_serp_competitors({\"keywords\": [\"best hiking boots\"], \"location_name\": \"United States\", \"language_code\": \"en\"}); dataforseo_labs_google_ranked_keywords({\"target\": \"rei.com\", \"location_name\": \"United States\", \"language_code\": \"en\"})", ...
{ "executions": [ { "arguments": "{\"keywords\": [\"best hiking boots\"], \"location_name\": \"United States\", \"language_code\": \"en\"}", "function_name": "dataforseo_labs_google_serp_competitors", "reasoning": "This tool will identify the top organic competitors ranking for the specific keyw...
[ { "function": { "description": "This endpoint will provide you with a list of domains ranking for the keywords you specify. You will also get SERP rankings, rating, estimated traffic volume, and visibility values the provided domains gain from the specified keywords.", "name": "dataforseo_labs_googl...
{ "mode": "single_turn" }
Who are the top organic competitors for 'best hiking boots' in the US, and can you show me the keywords that 'rei.com' is currently ranking for in that same region?
Based on the SEO analysis for 'best hiking boots' in the United States, the top organic competitors currently dominating the search results include major outdoor retailers and review sites such as **Switchback Travel**, **OutdoorGearLab**, **NYTimes (Wirecutter)**, and **GearJunkie**. These domains show high visibility...
[ { "content": "Could you check https://www.boutique-hotel-finder.com/paris-central for any structured data errors, specifically looking for data type mismatches in the schema markup?", "role": "user", "tool_calls": null, "tool_call_id": null }, { "content": "", "role": "assistant", "t...
{ "conversation_type": "cot", "react_steps": 7 }
{ "content": [ { "action": "on_page_instant_pages({\"url\": \"https://www.boutique-hotel-finder.com/paris-central\"})", "step_number": 1, "thought": "To check for structured data errors and data type mismatches on the specified URL, I will use the `on_page_instant_pages` tool. This tool provides...
{ "executions": [ { "arguments": "{\"url\": \"https://www.boutique-hotel-finder.com/paris-central\"}", "function_name": "on_page_instant_pages", "reasoning": "I am using this tool to retrieve a comprehensive SEO and technical analysis of the page, which includes checking for structured data and ...
[ { "function": { "description": "This endpoint allows parsing the content on any page you specify and will return the structured content of the target page, including link URLs, anchors, headings, and textual content.", "name": "on_page_content_parsing", "parameters": { "properties": { ...
{ "mode": "single_turn" }
Could you check https://www.boutique-hotel-finder.com/paris-central for any structured data errors, specifically looking for data type mismatches in the schema markup?
I have completed a comprehensive audit of the structured data on https://www.boutique-hotel-finder.com/paris-central using on-page analysis, Lighthouse audits, and AI-driven schema validation. ### Key Findings: 1. **Data Type Mismatches**: - **AggregateRating**: The `ratingValue` and `reviewCount` properties are ...
[{"content":"Can you identify the top organic competitors for 'emergency dental services' in Miami a(...TRUNCATED)
{ "conversation_type": "cot", "react_steps": 5 }
{"content":[{"action":"serp_organic_live_advanced({\"keyword\": \"emergency dental services\", \"loc(...TRUNCATED)
{"executions":[{"arguments":"{\"keyword\": \"emergency dental services\", \"location_name\": \"Miami(...TRUNCATED)
[{"function":{"description":"This endpoint will provide you with a list of domains ranking for the k(...TRUNCATED)
{ "mode": "single_turn" }
"Can you identify the top organic competitors for 'emergency dental services' in Miami and provide s(...TRUNCATED)
"Based on the analysis of the organic search results and local business listings for 'emergency dent(...TRUNCATED)
[{"content":"I'm trying to analyze 'hubspot.com'—could you list their top referring domains and al(...TRUNCATED)
{ "conversation_type": "cot", "react_steps": 2 }
{"content":[{"action":"backlinks_referring_domains({\"target\": \"hubspot.com\", \"limit\": \"10\", (...TRUNCATED)
{"executions":[{"arguments":"{\"target\": \"hubspot.com\", \"limit\": \"10\", \"order_by\": [\"page_(...TRUNCATED)
[{"function":{"description":"This endpoint will provide you with the list of keywords that any domai(...TRUNCATED)
{ "mode": "single_turn" }
"I'm trying to analyze 'hubspot.com'—could you list their top referring domains and also pull the (...TRUNCATED)
"I have successfully analyzed hubspot.com and retrieved the requested data. HubSpot's backlink profi(...TRUNCATED)
[{"content":"I'm trying to rank for 'enterprise crm software' in the US; can you find the top organi(...TRUNCATED)
{ "conversation_type": "cot", "react_steps": 8 }
{"content":[{"action":"dataforseo_labs_google_serp_competitors({\"keywords\": [\"enterprise crm soft(...TRUNCATED)
{"executions":[{"arguments":"{\"keywords\": [\"enterprise crm software\"], \"location_name\": \"Unit(...TRUNCATED)
[{"function":{"description":"This endpoint will provide you with a list of domains ranking for the k(...TRUNCATED)
{ "mode": "single_turn" }
"I'm trying to rank for 'enterprise crm software' in the US; can you find the top organic competitor(...TRUNCATED)
"Based on the SERP analysis for 'enterprise crm software' in the United States, the top organic comp(...TRUNCATED)
End of preview.

dataforseo-large

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