Does the lseg-data Python library provide any way to download IPO Prospectus data?

sean_sy

We are interested in pulling prospectus data for companies that are about to go public. We found some of the data under Equity New Issues Deals through the Deal Screener app in Workspace. Is there any way to pull this data programmatically through the lseg-data Python library?

Jirapongse

@sean_sy

Thank you for reaching out to us.

If you have the screener formula that can be used in the Workspace Excel, you can use it with the LSEG Data Library for Python to retrieve the same set of data. For further guidance please refer to the Find Your Right Companies with SCREENER | the Data Library (Python) article.

For example:

df = ld.get_data(
    universe=['SCREEN(U(IN(DEALS)),TR.NIisECM=True, IN(TR.NITargetMarket,"US"), IN(TR.NIIssueType,"IPO"), IN(TR.NITransactionStatus,"INPROGRESS"), CURN=USD)'],
    fields=["TR.NIDealID","TR.NISdcPackageNumber","TR.NIMasterDealType.code",
            "TR.NIAllManagersRole(Concat='|').code","TR.NIManagersRole(Concat='|').code",
            "TR.NIIssueDate","TR.NIIssuer","TR.NIIssuerPermId","TR.NIIssueType(Concat='|')",
            "TR.NITransactionStatus","TR.NIIssuerNation","TR.NICurrentFilingDate","TR.NIOfferPricePrintUniform",
            "TR.NIProceedsAmtInclOverallotSoldAllMkts(Scale=6)","TR.NIProceedsAmtThisMkt(Scale=6)","TR.NIIssuerExchTicker(Concat='|')"])
df