Extracting business data from platforms like Indiamart manually can be time-consuming and inefficient. The Indiamart Extractor tool helps automate this process by allowing you to collect business information in bulk using keywords or website URLs.
With this tool, you can quickly gather relevant data, clean and format it, and upload it to your CRM. This streamlines lead generation, improves data accuracy, and ensures a faster workflow from extraction to assignment.
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Step-by-Step Guide
Step 1 – Open IM Extractor Tool Extension in Chrome.
Step 2 – Enter Relevant Keywords In The Search Box Along With Desired Location To Fetch Data.
Step 3 – Alternatively, enter the Indiamart website URL to extract data in bulk.
Step 4 – Now click on the Start Process button to begin data extraction.
Step 5 – A scraping dialog box will open, and data will start appearing in the table below.
Step 6 – After completion, a CSV file of the collected data will be downloaded automatically. You can also stop the process anytime and download the CSV file.
Step 7 – Now clean the raw data and convert it into CRM format.
Now follow the process of Uploading the file to CRM and download the CIDs sheet.
FAQs
Q. What is Indiamart Extractor?
Ans. Indiamart Extractor is a tool used to collect business data from Indiamart using keywords or specific URLs.
Q. How can I extract data using this tool?
Ans. You can enter relevant keywords with location or paste an Indiamart URL to fetch data.
Q. Can I extract data in bulk?
Ans. Yes, the tool supports bulk data extraction using both keywords and URLs.
Q. In which format is the data downloaded?
Ans. The extracted data is downloaded in CSV format.
Q. Can I stop the extraction process midway?
Ans. Yes, you can stop the process at any time and download the available data.
Q. Is data cleaning required after extraction?
Ans. Yes, the extracted raw data should be cleaned and converted into CRM format before uploading.
Q. What should I do after formatting the data?
Ans. Upload the CSV file to CRM and follow the standard upload process.