Outscraper अक्सर पूछे जाने वाले प्रश्न
आम

Payments & Subscriptions
Yes. Outscraper will charge your account balance for $10 and issue an additional invoice with the amount due.
No. The task will be finished and if the task usage will be greater than your account credits you simply will receive an invoice with the outstanding usage.
You can use limits to limit the amount of extracted data.
- खोलना Outscraper Platform.
- Navigate to Billing Information page.
- Enter the necessary billing information you want to see in your invoices.
- Click the Save button. All your future invoices will be created with the information you have entered.
एपीआई
The limit of queries per second depends on the nature of the requests, service, and request parameters (amount of results, amount of queries, etc.). The average QPS is about 20 (soft limit). However, Outscraper can scale according to your needs. Please contact the team in case you need higher QPS.
Yes. API supports batching by sending arrays with up to 25 queries (e.g., query=text1&query=text2&query=text3). It allows multiple queries to be sent in one request and save on network latency time.
Navigate to the API Usage History page to see your latest requests.
Navigate to प्रोफ़ाइल पृष्ठ->API token to create a new key.
The average response time is 3-5 seconds. But it might depend on the service (speed optimized or no) type and the number of queries per request (batch option).
There are a few key points you should follow to increase the throughput of the API.
- Make sure you are using the latest versions of the API endpoints. For example, prefer using Places API V2 instead of Places API V1. In the case of using SDK the last version of API will be used by default (e.g. google_maps_search()).
- Use batching to send up to 25 queries per one request (e.g., query=text1&query=text2&query=text3). It allows multiple queries to be sent in one request and save on network latency time.
- Run requests in parallel. Check out this example.
- Use a webhook to fetch results once it’s ready.
Some tasks can take time to extract the data. There are a few ways you can handle timeouts.
- Use retries. Expect that some number of scraping requests might return an error or timeout. Usually, trying one more time solves the issue.
- Use async requests. A good practice is to send async requests and start checking the results after the estimated execution time. Check out this Python implementation as an example.
- Use a webhook to fetch results once it’s ready.
गूगल मैप्स स्क्रैपर
Sometimes Google adds other categories to your searches. For example, when you search for restaurants you might see bars, coffee shops, or even hotels. This might lead to irrelevant data, especially when you are using some minor categories like swimming pools.
Outscraper आपको दो उपकरण प्रदान करता है जिनका उपयोग आप उन श्रेणियों को समाप्त करने के लिए कर सकते हैं।
The landmark category on Google Maps
Use the “exact match” checkbox. The parameter specifies whether to return only the categories you selected or everything that Google shows. Make sure you are using the right categories by opening similar places on google and checking the category.
Filtering the results
Filter results by applying Filters to the subtypes column. Such filters can eliminate all the irrelevant data and return you only what you need. To avoid empty results, make sure you are familiar with the values of the fields before using the Filters.







You can remove duplicates in one task by selecting the “Drop duplicates” checkbox.
Yes, you can drop duplicates inside one task by using the “Drop duplicates” checkbox (advanced parameters). Alternatively, you can drop it by yourself by using “google_id” or “place_id” fields as unique identifiers for a place.

No. There is no public information about emails connected with the listing on Google Maps. Outscraper uses external sources to find those emails.

You can split your tasks by city/state or by some other unique attributes. For example, you can extract places from New York in the first task, and extract the places from California in the second task.
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